Data Science Education Review in India 2021

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Contents Foreword

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Executive Summary

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Data Science Institutes: Overviews and Rankings

Introduction

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Bachelor’s in Data Science

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Data Science Education Overview

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Master’s in Data Science

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Phd in Data Science

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Executive Programs in Data Science

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Online Programs in Data Science

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Market Trend Analysis

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Market Potential

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Market Drivers

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Market Challenges/Restraints

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Market Opportunities

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20 Data Science Market Size Analysis

Investment Trends and Developments

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Recruitment Landscape in India

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Top Recruiters

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Top Roles

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62 Recommendations

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Government Policy and Initiatives

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Indian Government’s Investments in Big Data Education

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Conclusion

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Recent Initiatives in Data Science Education and Skilling

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About Analytics Insight

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Foreword R

apid technological advances in digitization, data and analytics have been reshaping the business landscape, enabling new forms of innovation and competition. In a world where high-level digitization of processes is surging, the generation of large volumes of data is giving rise to the popularity of data science technology and platforms. Together they amount to a radical change in technical capabilities that could have profound implications for business and the economy.

The increasing focus of organizations on the use of data science tools to drive efficient business processes and receive comprehensive insights to gain a competitive edge is considered as one of the major key factors fostering the growth of data science education globally.

Today, we can observe the surge in demand for data professionals in various fields with market researchers estimating a notable growth in the near future. India is among the leading big data analytics markets, and the big data analytics sector is relied upon to observe US$18.9 billion in revenues in 2025, rising at a CAGR of 27.8%. Not surprisingly, data science job openings in the country will grow from 62,793 in 2020 to 1,37, 630 open positions by 2025.

Data science education is gaining a rapid growth in India as organizations are adopting data-technologies to disrupt models and capabilities to transform business processes.

Moreover, companies that deploy data-driven technologies can realize substantial performance gains and take the lead in their industries.

However, considering data science as a relatively new field, we observe that organizations are still grappling with the right expertise required to drive this data-driven transformation.

India is also facing a similar challenge. The country lags behind in comparison to other markets, where the institutes and universities are offering experimental and relevant pedagogy to learners.

To overcome this, the Indian government’s current focus remains on building a strong data science ecosystem in which education remains at the center. The government has been proactively taking initiatives to boost data science education in India. The Ministry of Science and Technology and Ministry of Education have taken significant steps to foster data science in higher education.

As an influential platform, Analytics Insight pinpoints major developments in data science with a primary emphasis on helping everyone in the value chain, from students to institutions and recruiters. “Data Science Education Review in India’ is first such report in which fundamental data science research and education intersect directly with societallyimportant developments from industry and governments.

The aim of the report is to define and shape data science as a scientifically rigorous and multidisciplinary field highlighting the importance of everyone in data science and data science for everyone.

Ashish Sukhadeve Founder and CEO Analytics Insight

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Executive Summary The report “Data Science Education Review in India 2021” explores the big data analytics and data science education sector in India. This report aims at providing an extensive outlook of different players in the Indian data science education industry.

It has laid down a broad review of institutes, government contributions, companies hiring data analysts, etc.

The upheaval of data is changing organizations.

Organizations - enormous or small - are currently anticipating that their business decisions should be founded on data-led insight. Data experts tremendously affect business strategies and marketing tactics.

On the most fundamental level, analytics is tied in with taking care of problems. The issues incidentally turn out to be on a lot bigger scope than what a significant number of us are used to - affecting entire organization, alongside the staff and customers that they serve. The ability to think analytically and approach issues in the correct manner is a skill that is consistently helpful, in the expert world, yet in regular day-today existence as well.

Set forth plainly, big data is significant, and with an approaching skills deficiency on the horizon, an ever increasing number of organizations and sectors have started working with big data, this value is simply going to grow. In reasonable terms, this implies professionals with analytics skills will be in a position to order more significant compensation and enjoy their pick of the available jobs.

Having said that, the education sector will see tremendous exposure in terms of data science courses. Institutes have started introducing Bachelor’s, Master’s and Ph.D. degrees through on campus and off campus or online mode.

Online and Distance learning programs are additionally picking up prominence. Numerous students and working experts are taking these courses to get quality training. The

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drawing factors for these projects are the elite educational plan, solace, and low expenses.

This report predicts that on-campus data science education market is forecast to grow at CAGR of 42.6% from US$48.2 million in 2019 to US$386.5 million in 2025. Whereas the market for online programs is predicted to grow from US$26.15 million to US$239.6 million, at a CAGR of 45.4%.

Some leading on-campus institutes offering Bachelors, Masters, PhD in data analytics streams are IIT Hyderabad, IISC Bangalore, IIM Ahmedabad, IIT Madras, Manipal Academy, Indian Statistical Institute (ISI), IIT Bombay, Indian Institute of Science, Bangalore, IISC Bangalore, and many more.

Whereas, in the online education segment, upGrad, Jigsaw Academy, Simplilearn, etc. are offering multiple data analytics course to shape the young generation of the future. Moreover, The New Education Policy (NEP) 2020 released by the Education Ministry is working on the growing needs of online education in India. The policy is trying to explore the benefits of digital and online education in India while mitigating any risks associated with it.

There will be a surge in the data science job market as well.

This report states that there are 62,793 open job opportunities in data science employing big data analytics. It further predicts that this number will grow 1,37,630 by 2025.

This segment is quite lucrative as companies in India have started adopting a data-driven culture as well as big data analytics frameworks. According to the report, top recruiters include Google, Amazon, McKinsey & Company, IBM and Ericsson offering an average salary package ranging from

INR20 Lacs-12 lacs.

Further, top roles that these companies will hire are Data Scientist having an industry demand of 10.9%, Data Analyst -10.7%, Business Analyst-10%, Senior Business Analyst- 7.4 and Senior Data Analyst -6.3%.

Big data’s role within an organization will hold a significant position. They will be an imperative part of business approaches and future procedures, in this way, making it an extremely rewarding career. With the plenitude of data available at our fingertips today, the opportunity to use insight from that data has never been more noteworthy. Fundamentally, the value of information value of data analysts will go up, making stunningly better job opportunities and career advancement choices. This makes now the ideal chance to begin a journey into the universe of big data analytics, with numerous education experts pushing the theme’s significance as so essential that it should be educated in secondary schools.

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Introduction Education is the key to forming the lives of individuals. It holds the ability to change and improve the lives of individuals. Since the beginning of civilization, people have advanced through education and have created systems to improve education.

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In the 21st century, where data is inescapable in different social statuses, education is no exemption. With progressions in computing techniques, it is conceivable to soak up all the data through incredible big data platforms and analytics.

According to Economic survey, India increased its total government spending to 10.6% in 2018-19. Further, India spent 3% on education of its total GDP in 2018-19 and ranks 62nd in total expenditure for education per student.

It plans to improve the gross enrolment ratio to 50%, which is currently 26% in higher education. Moreover, to accelerate the growth of distance education in India, it’ll use this increase in gross enrolment by 2021.

Today, data analytics and big data are popular expressions as well as a core tool for each business ecosystem. Because of rising competition in the education sector, the Indian education system is constantly upgrading itself. It has been emphatically receptive to driving a data-driven change in their working operations.

Conventional learning methods direct that students should progress depending on their age. Incredibly skilled students may enter advanced learning tracks, yet they stay in similar classes with their less talented companions since teachers normally just gather performance results once in a while.

Utilizing big data systems, educators can evaluate student performance persistently and advance students as needs be.

However, today the teaching pedagogy has changed significantly. With propels in innovation, our study halls are virtual, data is on the cloud and students are widely scattered. The education market space in India has climbed the value chain by embracing the most recent technological advancements.

With such a blast in the utilization of analytics, having the skills needed to work with data isn’t simply important - it’s everything except a need. The significance of these data analytical skills is simply going to turn out to be more significant in the future as more enterprises and organizations

bounce onto the temporary fad, which is the reason we’re presently observing such an attention on data science during higher education.

In a similar vein, with learning data analytics, consistently the time a student spends during any on-campus or online program is significant.

More and more institutes and colleges are shifting from traditional subjects that don’t help a specific student who learns at a different pace. Including data analytics in the education curriculum isn’t a preliminary attempt – it’s the answer for each student paying little mind to their particular requirements or prior knowledge.

Leveraging analytics and big data in the Indian education space can bring new avenues that can assist with reconsidering the approaches by which schools and colleges generally work. It can help in the rebuilding academic processes to suit the prerequisite of modern learners. Up until this point, the admission cycle creates enormous volumes of data. This can be processed in a manner to give valuable insights for planning the correct admission quality.

Data science if utilized reliably can show extensive changes in the overall functioning of the education sector in India. As an ever-increasing number of institutes, schools, education foundations will begin harnessing the power of big data, the future will improve.

This report aims at providing a comprehensive outlook of the data science industry in the Indian education sector. It provides valuable insights to everyone involved in the value chain from education institutes to service providers, as well as the government.

In any case, to accomplish a colossal change, the whole education industry needs to work intently and share best practices. Data science is set to drive radical changes in the education sector. These progressions are clear in the ways education institutes are governed, course quality is overseen and student participation and performance are managed.

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Data Science Education Overview

DATA SCIENCE EDUCATION

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The big data upheaval is here, and its extraordinary pertinence is the very purpose behind its unmistakable prominence. Organizations today can gather digital footprints of their consumers, which they use to recognize their arrangements. Companies decipher this information through distributed computing and machine learning.

The report offers an extensive analysis of growth patterns winning in the data science education sector in India. It likewise gives authoritative information concerning market, its size, forecast, top institutes, top hiring companies, top roles and job profiles along with salaries, different platforms, etc. of the industry.

Globalization has not just made a way for competition in the world economics yet has likewise determined educational reforms. Public expectations for responsibility and transparency have tremendously filled in each sector and education is not, at this point an exemption.

This report concludes that the market size of the Data Science Education Sector in India is estimated to grow at US$626 million in 2025 from US$102 million in 2020, growing at a CAGR of 43%.

With the number of inhabitants of more than 1.3 billion, the availability of high-speed internet and smartphones, India has the most number of tech-empowered people.

India’s Honourable Prime Minister aims at changing our

country and creating opportunities for all residents by harnessing digital technologies through Digital India initiative.

The initiative involves different ventures in different sectors health, education, labor, employment etc. As a part of Digital India initiative, numerous institutes and colleges offer online correspondence courses.

The report also analyzed both online and offline platforms of educational training. On campus education training is estimated to grow to US$386 million in 2025 from US$65 million in 2020, growing at a CAGR of 43%. Similarly, the online education market will grow to US$239 million in 2025 from US$26 million in 2020, with a CAGR of 45% Despite the fact that the education industry is ceaselessly producing huge amounts of information, the use of big data analytics is yet to pick up force compared to areas like media, healthcare, digital marketing etc. There is a flourishing eagerness in the big data education sector in India to infer value which can be applied for the all-encompassing advancement of the economy.

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Market Trend Analysis

Key Drivers

With enterprises investing heavily in data science and big data analytics to improve their business outcomes, the demand for data professionals is seeing an upward trend. More and more organizations are deploying analytics in their big data infrastructure to stay alive in today’s data-driven world.

Employing data scientists, big data analysts, and other data professionals can help make businesses disruptive and achieve their goals successfully. They will help enterprises in improving business, decision-making, and providing a higher competitive edge over their peers.

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For candidates seeking to pursue a career in data science, there are numerous opportunities to get into this interdisciplinary field. Prior to this, an aspirant must look at key drivers, challenges, and market opportunities that can help them with every step of their data science journey.

So, what motivates individuals to pursue a career in data science?

Heightened Demand

Handsome Salaries

Emerging as a linchpin for business growth, data science is one of the most in-demand job options in India. This demand is continuously rising as organizations realize their troves of data. According to our analysis, the job trend graph for data science proves that there is a growing demand for data professionals and as a result, there is a significant rise in the number of job opportunities.

Foresighted companies know the significance of their data, and to process them, they pay high salaries to get skilled and talented data professionals that can help them derive value from their data. The data science salary trend can be varying organization to organization and on skills and experience level.

Diverse Roles

Personal Improvement

With booming data science demand, there is an abundance of job positions. The most common job roles are data scientists, big data engineers, big data analysts, database administrator, senior data scientist, IT business analyst, business operations analyst, business systems analyst, lead business analyst, associate business analyst, IT analyst, business technology analyst, associate data scientist and more.

Learning data science not only allows professionals to help their companies, but the nature of their work also enables them to advance in their career, embracing multiple analytical skills over diverse domains like machine learning, big data, predictive analytics, and others. This extensive pool of knowledge provides them with a unique status and make them different from others.

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Restraints/Challenges

Opportunities

As a growing number of businesses acknowledge the importance of data science and professionals seeking to master the domain, they both face manifold challenges.

Data is the new oil for every organization to succeed in today’s digital age. It helps decision-makers to make decisions based on facts, statistical numbers, and trends. As the scope of data continues growing, the role of data science emerges as a multidisciplinary field, assisting enterprises using scientific approaches, procedures, algorithms, and frameworks to extract insight from voluminous amounts of data.

Deficiency of Skilled Talent

Problem Identification

Finding the right talent or people with germane skills and knowledge to support businesses is very crucial. People with data science skills, who understand business processes and have domain expertise can help guide a company to the future which is a top priority for enterprises today.

Analyzing a problem to identify it accurately for designing a better solution and defining each aspect of it is a major challenge for data science professionals. Most data scientists attempt a mechanical approach by beginning their work on data and tools without getting a clear understanding of the business requirement from the client.

Data Security

Misconceptions Over the Role

As enterprises increasingly transition into cloud data management, the risk of cyberattacks has become inevitable. If not harnessed the power of data science correctly, it can harm companies in terms of both financial status and organizational reputation. To cope with this, organizations should utilize advanced AI-powered security platforms and incorporate additional security checks to safeguard their data.

Organizations expect their data scientist to be proficient in all trades, from cleaning to retrieve data and build models to conduct analysis. However, this is very challenging as it requires a collaborative approach, and to function effectively, tasks need to be distributed among individuals pertaining to data preparation, model building, data analysis and more.

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Data scientists help companies that operate in the data world to process and uncover meaningful insights from vast amounts of structured and unstructured data. They use data analytics solutions that promise the significant potential to drive the growth of organizations.

The more data companies generate, the more opportunities will be there for the IT professionals in data science. Big data

is already altering the way marketing and IT professionals are trained. To get more people in this domain, it is essential to develop interdisciplinary curriculum around data science that help students in their early studies. Individuals with the right data science and big data analytics skills will have an extensive opportunity to pursue a career in data analytics across industries.

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Data Science Market Size Big data analytics is critical in today’s business landscape assisting enterprises in improving business, decision-making and providing a competitive advantage over competitors.

As more and more organizations are producing voluminous amounts of data and seek effective data processing to derive meaningful insights, the demand for data professionals is taking an upward trend. Career opportunities in big data have exponentially grown in the last few years and this current demand for qualified data professionals is just the beginning. India is one of the leading destinations to recruit employees in the field of data analytics.

To land a career in this sphere, aspirants require a comprehensive big data skill. These include analytical skills, data visualization, programming, data mining, familiarity

with technologies, along with business domain and big data tools. Also, problem solving skills and hands-on experience can be advantageous. A growing number of institutes offer big data courses under Bachelor’s, Master’s and Ph.D. degrees through on campus and off campus or online.

In on campus data science programs, there are majorly three courses Bachelor’s, Master’s and Ph.D. Most institutes also offer executive programs under on campus mode.

Executive programs in big data involve post graduate programs, management programs, MBA, integrated programs, and certifications.

Data Science Education Market in India (in US$Million) 400

300

200

100

0 2019

2020

2021 On Campus

According to our analysis, the on-campus data science education market is forecast to grow at CAGR of 42.59% from US$48.2 million in 2019 to US$386.5 million in 2025. While off campus or online courses include executive programs

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2022

2023

2024

2025

Online and online certifications, the market for online programs is predicted to grow from US$26.15 million to US$239.6 million, at a CAGR of 45.39%.

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Investment Trends and Developments The Indian government has been proactively taking initiatives to boost the data science education in India. Taking cognizance about the imperativeness of big data analytics, the Ministry of Science and Technology and Ministry of Education have taken relevant steps that can foster big data and artificial intelligence in higher education.

These steps have been formulated to sustain and accelerate the digital transformation process across India. Meanwhile, several initiatives have been started, to support the education of big data and data analytics.

The Ministry of Science and Technology under the Big Data Initiatives Division have started a Big Data Initiatives Programme, under which financial aid will be provided to support the research and development of big data across India. The financial aid will also be provided for support to establish Center for Excellence in Big data analytics, predictive technologies, cybersecurity etc. Additionally the programme supports national level conferences/workshops/seminars/ brain storming sessions etc financially and will support the Inhouse programmes for Faculty and UG/PG/Doctoral students.

The programme focuses to enhance the 5V i.e. Volume, Velocity, Variety, Value and Veracity, of big data education amongst students.

In 2016, the Comptroller and Auditor General of India have initiated Centre for Data Management and Analytics (CDMA) for synthesising and integrating relevant data for the auditing process.

Indian Government’s Investments in Big Data Education

India contributes a high number of graduates, especially from technology-related education background to the global job market. Henceforth, the country holds an important place in the global education sector.

Remarkably, India has one of the largest networks of higher education institutions in the world which leverages investments and mergers from the government. The country has the largest population of about 500 million people in the education seekers age group between 5 and 24 years. The education sector in India was estimated at US$102.7 billion in 2019.

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The government agency National Institute of Transforming India (NITI) Aayog has also strategized to integrate technology with education. It has partnered with various international organizations to bolster big data education in India. For example, Microsoft is helping Andhra Pradesh government in predicting drop outs of students in school education. With this initiative, so far based on the machine learning and analytics has identified about 19,500 portable dropouts from the government schools in Vishakhapatnam district in the year 2018-2019. Additionally NITI Aayog has also partnered with National Association of Software and Services Companies (NASSCOM) and have created an AIbased module to bolster the artificial intelligence education in India. The module was launched by NITI Aayog under Atal Innovation Mission (AIM) and contains activities, videos and experiments to bolster academic knowledge of big data analytics and artificial intelligence amongst the students.

Technology related studies contribute to the biggest number in the Indian education industry. Big data is one of the growing sectors increasing its education ground in the country. Big data has become an integral part of every radar. Therefore, the education sector can no longer afford to remain insulated from the technology connect. A lot of educational institutions in India are using new technological

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tools to improve pedagogy. Today, the country’s students have access to data and resources available anywhere in the world, thanks to big data and its developments. In the big data education industry, analytics tools and platforms plays an important role. Analytics covers a wide family of problems mainly arising in the context of a database, data warehousing and data mining research. The Ministry Human Resource Department ensured that several national tech universities in the country have set up AI centres for educational, and research and development.

These universities include the Indian Institute of Technology in Kharagpur and Madras and the Indian Institute of Information Technology Design and Manufacturing in Kancheepuram. In the interim budget (2019-2020) alone, the Indian government allocated INR93,848 crore (approximately US$13.15 billion) to the education sector, and a part of it also goes to techrelated studies. According to a document released by India’s Policy Commission (the National Institute for Transforming India- NITI Aayog) titled the National Strategy for AI, AI can potentially solve for quality and access issues observed in the education sector. Private investment in educational technology, broadly defined as the use of computers or other technology to enhance teaching grew 32% annually from 2011 to 2015, rising to US$4.5 billion globally.

India is currently among major big data analytics markets in the world. Analytics Insight estimates the Indian Big Data

Analytics industry to reach US$18.9 billion by 2025 from US$5.5 Billion in 2020, growing a CAGR of 27.8%. It will account for 32% of the global analytics market the same year which will increase tremendous scope in education and employment.

India is witnessing high growth in the big data analytics industry, due to its large resource pool of technically skilled English-speaking population. The education sector in India remains to be a strategic priority for the government. The government has allowed 100% Foreign Direct Investment (FDI) in the education sector through the automatic route since 2002. According to the data shared by Department for Promotion of Industry and Internal Trade (DPIIT), the total inflow of FDI in India’s education sector stood at US$3.24 billion between April 2000 and March 2020.

In 2020, the Indian government has multiplied its investment in its innovation program known as ‘Digital India’ to INR3,063 crore (US$477 million) to support research in AI, IoT, big data, cybersecurity machine learning and robotics. Under the project, the country aims to make internet access available to over two lakh villages by 2019, promoting e-governance, e-banking, e-education and e-health. In Budget 2019, Finance Minister Nirmala Sitharaman announced that the government will ensure industry-relevant skill training for 10 million youth in India by building skills in technologies like Artificial Intelligence, big data, virtual reality, 3D printing and robotics.

Recent Initiatives in Data Science Education and Skilling

India has one of the most extensive education systems in the world.

Though the spending in the education sector in the domestic circuit is not at par with that of developed nations like USA, UK, Germany, Japan and China, the country is slowly catching up in the race. The Modi government, along with several government educational institutes, has taken significant steps to ensure tech skilling in artificial intelligence and big data. Many universities and organizations are expanding their data science courses and upskill offerings, in recent years. The government’s

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announcement to create data center parks throughout India, has been acknowledged as a much welcome move under Union Budget 2020. As data science continues to integrate entirely in the core business functions of the organizations, the demand for relevant skills and expertise will rise in coming years.

Under the Big Data Initiative, the Indian government plans to carry out a gap analysis in terms of skills levels and policy framework. It also plans to develop a strategic road map and action plan clearly defining of roles of various stakeholders like government, industry, academia, industry associations and others with clear timelines and outcome for the next ten years, and carry out market landscape surveys to assess the future opportunities and demand for skill levels in same period. For this the Indian government is trying to understand the present status of the industry in terms of market size, different players providing services across sectors/ functions, opportunities, SWOT of industry, policy framework (if any), present skill levels available etc.

In the meantime, several government institutes have launched numerous educational and skilling programs for its student mass. Even state government of Karnataka, Maharashtra, Telangana, etc, have come forward to enhance the big data talent pool in their respective states.

In April, Indian Institute of Technology (IIT), Kanpur started free statistics courses which included regression analysis, sampling theory, design of experiment and analysis of variance, linear regression analysis and forecasting, introduction to R software, among others. Later, IIT Roorkee teamed up with TSW, the Executive Education Division of Times Professional Learning to launch a PG Certificate Program in Data Science and Machine Learning. Around October, October, IIT Jodhpur launched a BTech program in artificial intelligence and data science from the academic session 2020-21.

IIT Madras also took an initiative in Data Science skilling by offering affordable courses on Data Science through their platform ‘PadhAI.’ This five-month online self-paced course on Foundations of Data Science, ranges from beginners’ level to the mathematical and programming skills required for a Data Scientist.

Even IISc (Indian Institute of Science), in collaboration with TalentSprint, has plans to start a ten-month Advanced Program in Computational Data Science, with first cohort commencing in Jan 2021. The Computational Data Science course also comprises of a case study on the analysis of how the industry today uses computational data science in

real-world use cases. The broader curriculum of the course includes the mathematics of data science, neural networks, machine learning, data engineering and business analytics.

Moreover, IIT Kanpur is offering two free online courses on Data Science, on National Program on Technology Enhanced Learning (NPTEL) online learning platform in India.

International Institute of Information Technology- Hyderabad collaborated with Great Learning to offer an 8-month extended postgraduate certificate in software engineering for data science. The program aims at helping learners to acquire skills in software and data science, especially technology leaders and managers who are looking to lead data science and AI implementations in the organization.

This year, the Central Board of Secondary Education (CBSE) announced the integration of Artificial Intelligence (AI) in the high school curriculum for the current academic year (2020 – 2021). Targeting approximately 200 schools for Grade XI and XII, across the states Delhi-NCR, Karnataka, Tamil Nadu, Orissa, Kerala, West Bengal, Andhra Pradesh, Telangana, Maharashtra, Madhya Pradesh, Uttar Pradesh, Rajasthan and Punjab, this curriculum has been developed in collaboration with IBM and will be a part of CBSE’s Social Empowerment through Work Education and Action (SEWA) program. The course will focus on teaching the basics and application of AI, and help with skilling in computational thinking, data fluency, critical thinking.

In July, the Additional Skill Acquisition Program of the Higher Education Department in Kerala introduced an AI Course of 776-hours, aiming to create skilled professionals who can fill the demand in areas of data science, artificial intelligence and Machine Learning.

In November, Telangana Academy for Skill and Knowledge (TASK) and Telangana State Council of Higher Education (TSCHE) partnered with Microsoft and NASSCOM to provide skilling 30,000 youths from Telangana state in Artificial Intelligence under ‘March to Million’ initiative. With an objective to enhance students’ employability by acquiring the skills required in the industry, the AI Classroom Series course introduces students to the concepts of Artificial Intelligence, Machine Learning, and Data Science.

Such initiatives are crucial as investing in long term skills and capabilities can asset development of existing human resources. It will also bring talent momentum while grooming untapped potential of students and boosting big data maturity curve in India.

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DATA SCIENCE INSTITUTES

Data Science Institutes: Overview and Rankings Bachelor’s in Data Science

Data science programs combine training disciplines in statistics and mathematics with computer science.

A bachelor’s degree in data science equips students to do intelligent analysis of data that is a critical component in various business applications and supporting decisions. The program is designed to cater to the ever-changing needs and demands of the industry.

Students pursuing bachelor’s in data science acquire the skills to help businesses, IT firms, governments,

and other organisations develop strategies and make informed decisions. As the data available to industries and organisations increases, demand for data science experts with the skills to utilise that information also increases.

Consequently, institutes continue developing programs to meet this need, training students to use data effectively and responsibly.

Perks of Holding a Bachelor’s Degree in Data science As data science is one of the nation’s fastest-growing industries, it opens doors for aspiring data scientist and related professions. Earning a bachelor’s degree in data science may help an aspirant land an entry-level job.

Bachelors in data science programs begin with core courses that introduce students to tools and theories of data science, including working with big datasets and data visualisation techniques. Some programs also offer specialisation in areas like geographic information systems.

Many bachelor’s programs are project-based, that means students can create portfolios to present future employers.

Certain programs partner with local organisations to provide students real-world experience where they are defining problems, collecting data, cleaning that data, and interpreting the outcomes. For instance, Chandigarh

University offers BE in Big Data and Analytics in collaboration with IBM. There are courses like Big Data and Analytics that brings opportunities in IT sector; with demand for skilled technocrats in that field outpacing other IT jobs by a broader margin. Such a course recognises issues in everyday business, apply data science for better understanding of data-driven management decisions to get an edge over competition. It also provides insights into leading analytics practices design and lead iterative learning and development cycles.

A data science student who is pursuing his bachelor’s degree in the respective field from a recognise university is likely to get hired by leading companies like IBM, Amazon, Capgemini, TCS, Deloitte as a data scientist, data analyst, big data engineer, data architect, or database manager.

Criteria of Securing a Bachelor’s Degree As career opportunities in data science is growing rapidly in a country like India, people are enthusiastically opting for their bachelors’ degree in it. They are going for B.Tech, B.Sc, BE, BBA with a specialisation in Artificial Intelligence and Machine Learning, Data Science and AI, or Big Data Analytics, offered by top universities.

Pursuing a bachelor’s degree in above mentioned courses requires qualifying JEE or Common Entrance Test or some universities evaluate an application based on an applicant’s merit and 10+2 result. On the other hand, some universities

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prefer candidates who studied Physics, Mathemetics as compulsory subjects along with Chemistry/ biotechnology/ Computer Science in their 10+2. Some candidates need to qualify exams like JEE (Main), SAT or ACT followed by a Personal Interview round to secure admission in these courses.

As per Analytics Insight analysis, 32% of universities are offering Bachelor’s courses in Data Science or related courses located in South zone; 28% of universities are located in North zone and 26% are situated in West zone of India.

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Rank

Name

City

Regioon

Program Name

Program Mode

Exam/Eligibility

Fee in INR

1

IIT Hyderabad

Hyderabad

South

B.Tech in Big Data Analytics

On Campus

CET

24,80,000

2

Vellore Institute of Technology

Vellor

South

B.Tech in Artificial Intelligence and Machine Learning

On Campus

VITEEE

7,87,000

3

SP Jain School of Global Management

Mumbai

West

Bachelor of Data Science

On Campus

SAT, ACT, SPJET, JEE (Main), Evaluation and Interview

12,77,940

4

IIT Madras

Chennai

South

B.Sc in Programming & Data Science

Off Campus

Qualifier Exam

1,00,000

5

Manipal Academy

Manipal

South

B.Tech in Data Science and Engineering

On Campus

Manipal Entrance Test

17,06,000

6

GH Raisoni College of Engineering

Nagpur

Central

B.Tech in Artificial Intelligence

On Campus

Merit and 10+2 Result

-

7

International Institute Of Information Technology

Naya Raipur

West

B.Tech in Data Science and AI

On Campus

JEE (Main), JoSAA counselling

2,53,800

8

PEC University of Technology

Chandigarh

North

B.Tech in Big Data Analytics

On Campus

JEE (Main)

3,90,000

9

SRM Institute of Science and Technology

Chennai

South

B.Tech in Artificial Intelligence and Machine Learning

On Campus

JEE

1,01,000

10

Indraprastha Institute of Information and Technology

Delhi

North

B.Tech in Computer Science and Artificial Intelligence

On Campus

JEE

7,20,000

11

University of Petroleum and Energy Studies

Dehradun

North

B.Tech in Artificial Intelligence and Machine Learning

On Campus

JEE

-

12

Jain University

Bengaluru

South

B.Tech in computer Science with specialization in Artificial Intelligence

On Campus

Merit and 10+2 Result

-

13

Sharda University

Noida

North

B.Tech in Artificial Intelligence and Machine Learning

On Campus

Entrance Test

-

14

Lovely Professional University

Phagwara

North

B.Tech in Artificial Intelligence and Machine Learning

On Campus

JEE

-

15

Quantum University

Jaysingha

North

B.Tech in Artificial Intelligence and Machine Learning

On Campus

JEE

-

16

DIT University

Dehradun

North

B.Tech in Computer Science & Engineering with Specialization in Big Data Analytics

On Campus

CET

1,40,000

17

NIIT University

Neemarana

North

B.Tech in CSE with specialization in Big Data Analytics On Campus

JEE (Main)

4,25,000

18

Graphic Era University

Dehradun

North

B.Tech in Big Data Analytics

On Campus

JEE (Main)

6,20,000

19

Vishvakarma Institute of Technology

Pune

West

B.Tech in Artificial Intelligence and Data Science

On Campus

MH-CET /JEE (Main)/VUNET

7,20,000

20

Chandigarh University

Mohali

North

BE, CSE with specialization in Big Data and Analytics

On Campus

10+2 passed

3,80,000

21

Arya Institute of Engineering and I.T.

Jaipur

West

B.Tech in Artificial Intelligence and Data Science

On Campus

CET

3,38,000

22

NMIMS

Mumbai

West

B.Sc in Data Science

On Campus

Merit and 10+2 Result

-

23

MUIT Noida

Noida

North

B.Tech in CSE with specialization in Data Analytics

On Campus

Merit and 10+2 Result

5,00,000

24

CHRIST (Deemed to be University)

Pune

West

Bachelor of Data Science

On Campus

Merit and 10+2 Result

4,50,000

25

Navrachana University

Vadodara

West

B.Sc in Data Science

On Campus

HSC or equivalent in any stream with 3,00,000 minimum 50%

26

Symbiosis Skills & Professional University

Pune

West

B.Sc in Data Science

On Campus

CET

5,42,000

27

The NorthCap University

Gurgaon

North

B.Tech in CSE with specialisation in Data Science

On Campus

Merit and 10+2 Result

9,84,000

28

Sri Ramchandra Institute of Higher Education and Research

Chennai

South

B.Sc in Data Science

On Campus

CET

2,25,000

29

Jain University

Kochi

South

B.Sc in Data Science and Analytics

On Campus

CET

-

30

Presidency University

Bengaluru

South

BBA in Business Analytics

On Campus

CET

-

31

Prestige Institute of Management and Research

Indore

Central

BBA in Business Analytics

On Campus

CET

-

32

BML Munjal University

Gurgaon

North

BBA in Business Analytics

On Campus

SAT or ACT Score and Personal Interview

8,41,000

33

GITAM School of Business

Bengaluru

South

BBA in Business Analytics

On Campus

UGAT

5,97,000

34

Amity International Business School

Noida

North

BBA Business Intelligence and Data Analytics

On Campus

CET

10,32,000

35

SRM University, Delhi-NCR

Sonepat

North

BBA in Business Analytics

On Campus

CET

4,68,000

28

29

Rank

Name

City

Region

Program Name

Program Mode

Exam/Eligibility

Fee in INR

36

GH Raisoni University

Amravati

West

BBA in Business Analytics

On Campus

CET

4,68,000

37

Banasthali Vidyapith

Jaipur

West

B.Tech in Big Data Analytics

On Campus

CET

-

38

Vijaybhoomi University

Mumbai

West

B.E. in Artificial Intelligence

On Campus

CET

3,55,000

39

Manav Rachna University

Fariabad

North

B.Tech in CSE with specialization in Data Science & Machine Learning

On Campus

Merit and 10+2 Result

12,80,000

40

Ganpat University

Mehsana

West

B.Tech in CSE with specialization in Big Data & Analytics

On Campus

Merit and 10+2 Result

2,44,000

41

GITAM Institute of Management

Visakhapatnam

South

BBA in Business Analytics

On Campus

Merit and 10+2 Result

1,42,000

42

SAGE University

Indore

Central

BBA in Business Analytics and Data Science

On Campus

CET

5,97,000

43

VIT-AP University

Amravati

West

BBA in Business Analytics

On Campus

CET

2,10,000

44

Ajeenkya DY Patil University

Pune

West

BCA in Data Science

On Campus

CET

8,25,000

45

NIMAS

Kolkata

East

B.Sc in Data Science

On Campus

Merit and 10+2 Result

-

46

Manav Rachna International Institute of Research and Studies

Fariabad

North

B.Tech in CSE with specialization in Data Science & Machine Learning

On Campus

CET

1,33,000

47

St Joseph's Degree and PG College

Hyderabad

South

BBA in Business Analytics

On Campus

MRNAT Score, Diploma, Qualifying Examination

2,44,000

48

Birla Global University

Bhubaneswar

East

BBA in Business Analytics

On Campus

CET

-

49

Jagannath University

Jhajjar

North

BBA in Business Analytics

On Campus

CET

-

50

Sandip University

Nashik

West

B.Tech in CSE with specialization in Data Science

On Campus

CET

3,60,000

51

NSHM Knowledge Campus

Kolkata

East

Bachelors of Science in Data Science

On Campus

Merit and 10+2 Result

5,20,000

52

KR Mangalam University

Gurgaon

North

B.Sc in Data Science

On Campus

Merit and 10+2 Result

2,85,000

53

Mount Carmel College

Bengaluru

South

BBA in Business Analytics

On Campus

CET

3,09,000

54

AMET University

Chennai

South

B.Sc in Data Science

On Campus

CET

-

55

Sri Sri University

Cuttack

East

B.Sc in Data Science

On Campus

AMET-CET

16,12,000

56

Techno india university

West Bengal

East

B.Sc in Data Science

On Campus

CET

1,35,000

57

GITAM Hyderabad Business School

Hyderabad

South

BBA in Business Analytics

On Campus

CET

4,10,000

58

Vishvakarma Institute of Technology

Pune

West

B.Sc in Big Data Analytics

On Campus

10+2 Result and Personal Interview

-

59

DDU Kaushal Kendra Cochin University of Science And Technology

Kochi

South

B.Voc. Business Process and Data Analytics

On Campus

10+2 Pass or its Equivalent Examination with English and Mathematics

3,00,000

60

The NorthCap University

Gurgaon

North

BBA in Business Analytics

On Campus

CAT

-

61

ITM School of Management

Gwalior

Central

BBA in Business Analytics

On Campus

CET

6,46,000

62

Shree Guru Gobind Singh Tricentenary University

Gurgaon

North

BBA in Business Analytics

On Campus

CET

4,80,000

63

St Claret College

Bengaluru

South

BBA in Business Analytics

On Campus

CET

4,50,000

64

Swarrnim Startup and Innovation University

Gandhinagar

West

BBA in Business Analytics

On Campus

CET

-

65

Suresh Gyan Vihar University

Jaipur

West

BBA in Business Analytics

On Campus

CET

-

66

Pana Institute of Undergraduate Studies

Mangalore

South

BBA in Business Analytics in association with IBM

On Campus

CET

-

67

Navrachana University

Vadodara

West

B.Sc. in Data Science

On Campus

Merit and 10+2 Result

-

68

Alakh Prakash Goyal Shimla University

Shimla

North

BBA in Business Analytics

On Campus

Merit and 10+2 Result

3,00,000

69

IIAS School of Management

Siliguri

East

BBA in Business Analytics

On Campus

CET

2,76,000

70

Sophia Girls College

Ajmer

West

BBA in Business Analytics

On Campus

CET

-

30

31

Rank

Name

City

Region

Program Name

Program Mode

Exam/Eligibility

Fee in INR

71

The Yenepoya College

Mangalore

South

BBA Entrepreneurship, International Business and Business Analytics

On Campus

CET

-

72

Dr MGR Educational and Research Institute

Chennai

South

BBA in Business Analytics

On Campus

CET

240000

73

Kristu Jayanti College

Bengaluru

South

BBA in Business Analytics

On Campus

CET

210000

74

PB Siddhartha College of Arts and Science

Vijayawada

South

BBA in Business Analytics

On Campus

CET

-

75

KL University Business School

Guntur

South

BBA in Business Analytics

On Campus

CET

480000

76

Chinmaya Vishwavidyapeeth

Peppathy

South

B.Voc. in Business Process and Data Analytics Management

On Campus

10+2 or Equivalent with Mathematics/Statistics as a Compulsory Subject

-

77

iLEAD

Kolkata

East

B.Sc in Data Science

On Campus

CET

480000

78

Nehru Arts and Science College

Coimbatore

South

BBA in Business Analytics

On Campus

CET

-

Master’s in Data Science

The Master’s in data science programme is an interdisciplinary post graduate course tailor-made for students having data-centric focus as a career.

It is offered by more than 100 universities across India, with diverse areas of specialization. These courses offer theoretical and practical knowledge about applications of big data, computer science, maths and statistics. The course enhances the students’ ability to understand, analyze and process big data. The course is a comprehensive and coherent approach

32

to encompass students with traditional data mining skills as well as data-driven decision making.

A candidate having Master’s in data science degree gets the opportunity to professionally work in roles such as data scientist, data analyst, big data engineer, data architect, data engineer, and business analyst.

Eligibility of the Course This course is offered to students who have completed their undergraduate courses in Engineering. While some colleges have selection criteria on merit basis, others offer specialised

colleges that have entrance exams such as CAT, GMAT and GATE, followed by GD/PI as admission criteria for this course.

About the Course All the courses offered under Master’s in Data Science focusing on big data analytics and artificial intelligence programme is a two-year degree course. Many Edtech

websites also offer certificate programme in Master’s for Data Science.

33

Rank

Name

City

Region

Program Name

Program Mode

Exam/Eligibility

Fee in INR

1

IIM Calcutta with IIT Kharagpur and ISI kolkata

Kolkata

East

PGD in Business analytics

On Campus

CAT

24,00,000

2

IIT Hyderabad

Hyderabad

South

M.Tech in Data science

On Campus

Entrance Test and Interview

9,00,000

3

IISC Bangalore

Bengaluru

West

M.Tech in computational and Data Processing

On Campus

Entrance Test and Merit List

86,000

4

NMIMS

Mumbai

West

M.Tech in Data Science

Off Campus

Entrance

-

5

IIT Delhi

New Delhi

North

M.Tech in CSE with Specialization in Data Engineering On Campus

Entrance

-

6

BITS Pilani

Goa

West

M.Tech in Data Science

On Campus

GATE

-

7

IIM Ahemdabad

Ahmedabad

West

Post Graduate Diploma in Advanced Business Analytics

Off Campus

GMAT/GRE/CAT/GATE or the eP23,00,000 GD-ABA qualifying-cum-aptitude test

8

IIM Bangalore

Bengaluru

West

MBA in Big Data Analytics

On Campus

Entrance Test and PI

6,25,000

9

IIM Calcutta

Kolkata

East

Advanced Programme in Data Science

On Campus

Enterance Test and Interview

20,00,000

10

NMIMS Mumbai

Mumbai

West

MBA in Business Analytics

On Campus

XAT, MAT, GMAT, NMAT

4,00,000

11

NMIMS Bengaluru

Bengaluru

South

MBA in Business Analytics

On Campus

XAT, MAT, GMAT, NMAT

4,00,000

12

Goa institute of management

Goa

West

PGD in Management with Specialization in Big Data Analytics

On Campus

CAT/GMAT+GDPI

20,03,640

13

Great Lakes Institute of Management, Chennai

Chennai

South

MBA in Business Analytics

On Campus

Entrance exam and two years of experience

21,25,000

14

NMIMS Bengaluru

Bengaluru, Kolkata, Mumbai

Multi

PGP in Data Science

On Campus

NA

5,10,000

15

Praxis Business School

Kolkata

East

PGP in Business Analytics

On Campus

Praxis Admission Test (PAT)/CAT / XAT / GMAT / GRE

6,05,300

16

National Instiitute of Technology

Tiruchippalli

South

M.Tech in Big Data Analytics

On Campus

GATE

3,31,580

17

Vellore Institute of Technology (VIT)

Vellore

South

M.Tech in Big Data Analytics

On Campus

GATE/VITMEE

4,48,400

18

IIT Guwahati

Guwahati

East

M.Tech in Dara Science

On Campus

GATE and PI

2,02,000

19

IIT Jodhpur

Jodhpur

West

M.Tech in Data and Computational Sciences

On Campus

Entrance

-

20

IIT Ropar

Ropar

West

M.Tech in Data Science

On Campus

Entrance

-

21

IIIT Bangalore

Bengaluru

South

M.S. in Data Science

On Campus

GATE

-

22

IIT Guwahati

Guwahati

East

Post Graduate Certification Program in Data Science

Off Campus

23

NMIMS's Mukesh Patel School of Technology and Management

Mumbai, Bengaluru, Hyderabad, N.Mumbai, Indore, Siripur

Multi

M.Tech Data Science and Artificial Intelligence

On Campus

GATE

5,00,000

24

Nirma University

Ahemdabad

West

M.Tech in Big Data Analytics

On Campus

GATE

6,72,000

25

Amity University

Noida

West

M.Tech in data Science

On Campus

Entrance

-

26

Symbiosis Centre for management and Human Resource Developmentr

Pune

West

MBA in Business Analytics

On Campus

WAT/SNAP

13,30,000

27

IIT Palakkad

Palakkad

South

M.Tech and M.Sc

On Campus

NA

-

28

IIT Roorkee and Wiley

Roorkee

North

PG Certification in AI

NA

-

29

Amity University

Noida

North

BTech+M.Tech Integrated in Data Science

On campus

NA

10,80,000

30

Wellingkar institute of Management

Mumbai

West

PGDM Research in business analytics

On campus

CAT/GMAT/XAT/ATMA/CMAT/GDPI

12,98,000

31

Loyola Institute of Business Administration With TCS

Chennai

South

Executive Diploma in Business Analytics

On campus

GATE

-

32

Jamia Hamdard

New Delhi

North

M.Tech in big data analytics

On campus

GATE

2,64,320

33

Lal Bahadur Shastri Institute of Management

New Delhi

North

PGDM Research in business analytics

On Campus

Entrance and PI

15,00,000

34

IBS Hyderabad

Hyderabad

South

PG Diploma Certificate course in Data Science

On campus

Formal Interview

3,20,000

35

Lovely Professional University

Jalandhar

North

M.Tech Data Science and Analytics

On campus

GATE

-

34

3,25,000

35

Rank

Name

36

Region

Program Name

Program Mode

Exam/Eligibility

Fee in INR

Jaypee Institute of Information Technology University Noida

North

M.Tech in Data Analytics

On campus

GATE

-

37

Jain University

Bengaluru

South

M.Tech in Data Science

On campus

NA

-

38

Aegis School of Business, Data Science, Cybersecurity and Telecommunication

Mumbai, Bengaluru

Multi

PGP in Data Science, Business analytics and Big data with IBM

39

Jaypee Institute of Technology

Noida

North

M.Tech in big data analytics

40

NL Dalmia

Mumbai

West

Post Graduate Certificate in Big Data Analytics

41

Chandigarh University

Chandigarh

North

M.E CSE in Artificial Intelligence and Machine Learning

On campus

42

PSG College Of Technology

Coimbatore

South

M.Sc. in Data Science

On campus

NA

1,82,000

43

GITAM University, Vishakhapatnam

Vishakhapatnam

South

M.Tech in Data Sciences

On campus

NA

2,20,000

44

SRM Institute of Science and Technology

Chennai

South

M.Tech in Big data analytics

On campus

GATE

3,77,600

45

GITAM Hyderabad

Hyderabad

South

M.Tech. in Data Sciences

On campus

NA

2,00,000

46

Manipal University

Bengaluru

South

M.Tech in Data Science and Artificial Intelligence

On campus

GATE

4,10,000

47

RIMT University

Punjab

North

M.Tech in Big data analytics and cloud computing

On campus

GATE

-

48

Vellore Institute of Technology

Vellore

South

M.Sc. Data Science

On campus

NA

1,64,000

49

Amity University

Noida

North

M.Sc in Data Science and Analytics

On campus

NA

20,000

50

Chandigarh University

Chandigarh

North

MBA in Business Analytics (association with IBM)

On campus

NA

1,90,000

51

Ahemdabad University

Ahemdabad

West

M.Tech in Big Data Analytics

On campus

GATE

4,08,280

52

Indian Institute of Information Technology and Management

Kerala

South

M.Sc in Data Analytics

On campus

NA

-

53

Chandigarh University

Chandigarh

North

M.Sc. In Data Science

On campus

NA

1,20,000

54

Loyola College

Chennai

South

M.Sc. In Data Science

On campus

NA

-

55

Fergusson College

Pune

West

M.Sc in Data Science

On campus

NA

57,500

56

GITAM Hyderabad

Hyderabad

South

M.Sc. In Data Science

On campus

NA

2,00,000

57

NSHM College, Kolkata

Hyderabad

South

MBA in Big Data Analytics

On campus

NA

-

58

GITAM University, Vishakhapatnam

Vishakhapatnam

South

MBA in Business Analytics

On campus

NA

7,20,000

59

Christ University

Bengaluru

South

M.Sc in Data Analytics

NA

-

60

Dhirubhai Ambani Institute of Information and ComGandhinagar munication Technology

West

M.Sc in Data Science

On campus

NA

7,00,000

61

Amritha University Coimbatore

Coimbatore

South

M.Sc in Applied Statistics and Data Science

On campus

Graduation

2,54,880

62

College of Engineering

Guindy

South

M.Tech in big data analytics

On campus

GATE/TANCET

2,10,040

63

School of Management Studies, University of Hyderabad

Hyderabad

South

MBA in Business Analytics

On campus

CAT

1,65,200

64

Kalinga Institute of Industrial Technology

Bhubneshwar

East

M.Tech in Big Data Analytics

On campus

GATE, KIITEE

6,50,180

65

JSS Science and Technology University.

Mysuru

South

M.Tech in Big Data Analytics

On campus

Karnataka PGCET

1,51,040

66

Galgotias University

Geater Noida

North

M.Tech in Big Data Analytics

On campus

GATE

2,24,200

67

SSRMT

Chennai

South

M.Tech in Big Data Analytics

On campus

GATE

-

68

University of Technology

Jaipur

West

M.Tech in Big Data Analytics

On campus

GATE

-

69

CMR University

Bengaluru

South

M.Tech CSE with specialization in Data Science

On campus

Entrance

-

70

School of Data Science and Forecasting

Indore

Central

M.Tech in Big Data Analytics

On campus

GATE

2,17,120

36

City

On campus

GATE

2,83,300 90,000

37

Rank

Name

City

Region

Program Name

Program Mode

Exam/Eligibility

Fee in INR

71

Vel Tech Rangaranjan Dr Sagunthala R&D Institute and technology

Chennai

South

M.Tech in Big Data Analytics

GATE

On campus

2,17,120

72

Centurion University of Technology and Management

Bhubneshwar

East

MBA/PGDM in Data analytics

Entrance exam

On campus

1,53,400

73

Imarticus

Mumbai

West

Post Graduate Program in Data Analytics

NA

Off Campus

1,00,000

74

GITAM University

Vishakhapatnam

South

M.Sc. In Data Science

NA

On campus

2,10,000

75

Indian Institute of Information Technology and Management

Kerala

South

M.Sc in Big Data Analytics

NA

On campus

1,60,000

76

Central University of Rajasthan

Ajmer

West

M.Sc in Big Data Analytics

NA

On campus

-

77

GD Goenka

Gurgaon

North

M.Tech in data science

GATE

On campus

-

78

Coimbatore institute of Technology

Noida

North

M.Sc in Data Science

NA

On campus

-

79

MIT World Peace University, Pune

Pune

West

M.Sc in Big Data Analytics

NA

On campus

2,78,000

On campus

-

80

Symbiosis Institute Of GeoInformatics

Pune

West

M.Sc in Spatial Analytics and Data Science

Entrance Test and Personal Interview

81

Maulana Abul Kalam Azad university

Kolkata

East

M.Sc in Data Science and Analytics

Graduation

On campus

2,70,000

82

Galgotias university

Geater Noida

North

MBA in Business Analytics

CAT/MAT/XAT

On campus

4,13,000

83

Institute of Product Leadership

Bengaluru

South

MBA in Data Science and Technology

NA

On campus

4,00,000

84

King's Cornerstone International College

Bengaluru

South

M.Tech in Data Science

NA

On campus

-

85

Maharishi University of Information technology

Noida

North

PG Diploma in Data Science

NA

On campus

4,96,000

On campus

5,90,000

86

Swami Vivekananda University, Kolkata

Kolkata

East

M.Tech in Computer Science with Specialization in Software Engineering / Networking and Cyber Security / Data Science & Analytics

87

Vijaybhoomi University

Mumbai

West

Masters of Science in data Science

NA

On campus

1,25,000

88

Institute of Advanced Education and Research

Kolkata

East

M.Sc in Data Science and Analytics

Graduation

On campus

-

89

Marwadi University

Rajkot

West

PGD in Big data Analytics

NA

On campus

1,77,000

90

King's Cornerstone International College

Bengaluru

South

M.Sc in Data Science and Analytics

NA

On campus

40,000

91

NSHM College, Kolkata

Hyderabad

South

M.Sc. in Data Science & Analytics

NA

On campus

10,90,000

92

Marwadi University

Rajkot

West

M.Sc in Data Science & Analytics

NA

On campus

3,04,000

93

Garden City College, Bangalore

Bengaluru

South

M.Sc IT with specialization in Data Science & Cloud Computing

NA

On campus

2,00,000

94

Maharishi University of Information technology

Noida

North

M.Sc. In Data Science

NA

On campus

2,50,000

95

International School of Business and Research

Bengaluru

South

PGDM in Business Analytical

NA

On campus

5,50,000

96

St. Joseph's College

Bengaluru

South

M.Sc in Big Data Analytics

NA

On campus

9,00,000

97

St. Aloysius Institute of Management and Information Technology

Mangalore

South

M.S. in Big Data Analytics

NA

On campus

-

98

Rathinam Group of Institutes, Coimbatore

Coimbatore

South

M.Sc in Data Science & Business Analytics

NA

On campus

-

99

Swami Vivekananda University, Kolkata

Kolkata

East

M.Sc in Data Science

NA

On campius

2,40,000

100

Dept of Computer Science RKMVERI

Howrah

East

M.Sc in Big Data Analytics

NA

On campus

1,25,000

101

Manonmaniam Sundaram University

Tirunelveli

South

M.Sc in Big Data Analytics

NA

On campus

-

38

39

Ph.D. in Data Science

Ph.D. in the field of Data Science is an interdisciplinary STEM doctoral degree program that focuses on systems and technologies for processing data and information.

This degree program offers advanced training in theoretical and computational methods. Students in this program experiments using various technologies to develop algorithms and models by which big data sets can be managed with sophistication. Ph.D. in big data typically helps big data practitioners, researchers, and scientists who work with large data, write code, develop models, and build systems. In this program, students will develop theoretical and applied skills, including how to design, deploy and assess information-

oriented big data technologies that support decision-making across the social and organizational level.

A candidate pursuing a Ph.D. in Data Science must determine whether he/she will use their Ph.D. degree to get a job as a big data engineer or to do deeper research and try to solve complex, theoretical problems. Many Ph.D. programs offer training in scientific fields such as statistics, mathematics, computer science, or information systems.

Getting a Ph.D. in Data Science Professional opportunities in big data analytics are growing at an unprecedented pace. In India, it has become an incredible job option as the country is emerging as a global data hub and a majority of overseas companies are looking to establish their present to grow their businesses.

Pursuing a career in Ph.D. requires a candidate to have a Bachelor’s or Master’s degree or equivalent degree in Electronics/Computer Science/ Electrical Engineering/ Information Technology/ Bioinformatics with Mathematics as

a subject at the undergraduate or postgraduate level. Though these degrees are not required for admission at some institutes, students at least must have some level of training or experience in technology, including areas such as computer programming through data structures, database management systems, linear algebra, networking and graph theory.

To get admission for Ph.D. in Data Science, an applicant will have to fill an application form online at the respected institution.

Area of Specialization for Ph.D. in Data Science » » » » » »

Big Data Databases and Data Analytics Architecture and Embedded Systems Data Mining NLP Database Management

» » » » » »

Statistical Computing Ethics and Human Factors Artificial Intelligence Machine Learning Data Science Experiment Design and more.

Exams Candidates for Ph.D. in Data Science will have to take a qualifying exam. This can vary from university to university.

Some institutes take candidates based on marks of GATE, UGC NET, CSIR NET or JRF exams, while some select candidates based on PG qualifications, academic credentials, written test, and personal interview.

While Ph.D. enables students to perform inclusive tasks of a

40

statistician, analyst, and engineer, a number of universities offer this program to get specialization through research and fulfill a career in the world of data. According to our analysis, 64% of universities offering Ph.D. in Data Science are located in West zone, followed by South and East zone at 14% and 7%, respectively.

41

Rank

Name

City

Regioon

Program Name

1

Indian Statistical Institute (ISI)

Kolkata

East

P.hD. in Computer Science with Specialization in Data On Campus Science

Entrance Test and Personal Interview -

2

Indian Institute of Science, Bangalore

Bengaluru

West

P.hD. in Computer Science with Specialization in Data On Campus Science

Post Graduation

2,26,800

3

IIT Gandhinagar

Gujrat

West

P.hD. in Computer Science with Specialization in Data On Campus Science

Academic Credentials, Written Test and Interview

3,84,000

4

Indian Institute of Technology Madras

Chennai

West

P.hD. in Computer Science with Specialization in Data On Campus Science

UGC NET, CSIR NET or JRF

98,370

5

IIT Delhi

New Delhi

North

P.hD. in Computer Science with Specialization in Data On Campus Science

GATE/NET

3,87,000

6

IIT Bombay

Mumbai

West

P.hD. in Computer Science with Specialization in Data On Campus Science

Post Graduation

5,88,000

7

IIT Guwahati

Guwahati

East

M.Tech + Ph.D. in Computer Science with Specialization in Data Science

GATE

70,800

8

IIT Hyderabad

Hyderabad

South

P.hD. in Computer Science with Specialization in Data On Campus Science

Post Graduation

1,69,155

9

BITS Pilani

Goa

West

P.hD. in Computer Science with Specialization in Data On Campus Science

M.Tech/ ME

-

10

NIT Trichy

Tiruchirappalli

West

P.hD. in Computer Science with Specialization in Data On Campus Science

Written test and interview

2,37,750

11

CHRIST (Deemed to be University)

Bengaluru

West

Ph.D. in Data Science

Entrance Test, Skill Assessment & Personal interview and Academic Performance

2,85,000

12

Manipal Academy of Higher Education

Manipal

West

P.hD. in Computer Science with Specialization in Data On Campus Science

Written Test and Interview

1,77,000

13

IIT Jodhpur

Rajasthan

West

P.hD. in Computer Science with Specialization in Data On Campus Science

Post Graduation in Engineering

5,22,000

14

IIT Palakkad

Kerala

South

P.hD. in Computer Science with Specialization in Data On Campus Science

GATE

2,08,500

42

Program Mode

On Campus

On Campus

Exam/Eligibility

Fee in INR

43

Executive Program in Data Science

Big data is transforming the way business executives make business decisions.

This is why today, the use of data science application is proliferating in industries viz., financial services, healthcare, retail, e-commerce, media, manufacturing, and customer service industry. This resulted in department and company leaders looking out to seek expertise and training on ways to mine and analyze data by leveraging statistical and quantitative machine learning models so as to be able to make data-driven business decisions.

For any executive course, one is generally expected to have either a Master’s degree in a related field, especially the ones inclined to computer science or mathematics, along with some work experience. However, there is often some flexibility around these precise requirements. Or one can simply qualify for executive courses just by gaining extensive work experience in the field. Interest candidates need to register

on the preferred institute’s website and then they are required to clear selection process which is either a written test, or an interview or both. Also, the written test can be a common entrance exam or institute organized entry test.

Studying data science and big data practices on executivelevel offers one a higher and unique weightage when compared with other employers. It empowers them to propel improvements within their organizations, focus on areas of specialization within their professional field and broaden their knowledge and expertise to enhance their career curve.

Most of the executive programs are not technical but business-oriented. In fact, there are MBA courses which do not require specializations in AI either, yet have high value in terms of educational qualification. In reality, most of the executive level courses focus on practical business applications of data

and machine learning. Hence, these courses are designed to give C-Suite level executives a comprehensive understanding of the basics for how data science operates and what it can accomplish. Some courses are aimed to provide an overview of what kind of data companies are dealing with, how to process it, and how to create interventions based on those insights from a business perspective.

Most of these programs teach about » Foundation in Statistics using R, business and management concepts, » Analytical techniques using R, Python, SAS, » Tableau and Power BI for Data Visualization » Big Data concepts using Hadoop, HDFS, Pig, Hive, Sqoop, Flume, Spark and Storm

» Advanced data wrangling, data mining, statistical modeling and machine learning applications on datasets Some may include basics about ANOVA, regression analytics, logistic regression, decision trees, cluster analysis, neural networks. They also include capstone projects and handson knowledge from case studies across BFSI, retail, telecom, supply chain, HR and other industries.

Furthermore, some courses offer the chance to study while pursuing careers with flexible part-time and online options.

In the case of eLearning based executive programs, the study material is delivered Direct-to-Device (D2D) on the student’s device of choice while the classes are held online. With the shortage of skilled personnel, it is the right time to sign up for a course now.

Rank

Name

City

Region

Program Name

Exam/Eligibility

Fee in INR

1

ISB Hyderabad

Hyderabad

South

Advanced Management Programme in Business Analytics (AMPBA)

GMAT/ GRE/ CAT/ NMAT

11,97,700

2

IIT Hyderabad

Hyderabad

South

Executive MTech in Data Science (EMDS)

Entrance

10,62,000

3

NMIMS Global Access School For Continuing Education

Pan India

Multi

Executive Program in Big Data & Machine Learning

Not Required

-

4

IIM Calcutta

Kolkata

East

Executive Programme on Business Analytics (EPBA)

Screening & Selection

4,24,800

5

Great Lakes Institute of Management

Gurgaon

North

Post Graduate Program In Business Analytics And Business Intelligence (PGP-BABI)

Not Required

4,66,100

6

IIM Ahmedabad

Ahmedabad

West

Executive Programme in Advanced Business Analytics

Not Required

10,00,000

7

IIM Lucknow

Lucknow

North

Executive Program on Business and Data Analytics

Not Required

2,34,820

8

SP Jain School of Global Management

Mumbai

West

Big Data and Visual Analytics

Not Required

5,90,000

9

MISB Bocconi

Mumbai

West

Executive Program in Business Analytics (EPBA)

Not Required

7,55,200

10

IMT Ghaziabad

Ghaziabad

North

Post Graduate Executive Certificate Program in Data Science & Big Data Not Required

44

94,400

45

Rank

Name

City

Region

Program Name

Exam/Eligibility

Fee in INR

11

IIM Rohtak

Rohtak

North

Executive Certificate Program in Data Analytics using R & Python

Not Required

70,800

12

XLRI Jamshedpur

Gurgaon

North

Executive Program in Data Science using Excel & R

Not Required

1,18,000

13

IIM Kozhikode

Kozhikode

South

Executive Post Graduate Certificate in Information Technology Management and Analytics

Not Required

2,95,000

14

Narsee Monjee College of Commerce & Economics

Bengaluru

South

Executive education and runs General Management and Analytics program (Certificate Programme in Business Analytics)

Not Required

-

15

IIM Calcutta

Kolkata

East

Advanced Programme in Data Sciences (APDS)

Screening & Selection

4,24,800

16

upGrad & NMIMS

Mumbai

West

MBA (Executive) with Specialisation in Business Analytics

Not Required

1,60,500

17

Manipal ProLearn In Association With Manipal Academy Of Higher Education

Online

Multi

Post Graduate Certificate Program In Data Science & Machine Learning

Not Required

99,120

18

NMIMS Global Access

Online

Multi

MBA (Executive) with Specialisation in Business Analytics

Not Required

4,00,000

19

Aegis School Of Data Science

Mumbai, Pune, Bangalore

Multi

EPGP in Data Science, Business Analytics & Big Data

Not Required

4,54,300

20

IIM Ahmedabad

Ahmedabad

West

Advanced Consumer Analytics

Not Required

90,000

21

IIM Ahmedabad

Ahmedabad

West

Effective Data Visualization for the Data-Driven Organisation

Not Required

90,000

22

IIM Indore

Indore

Central

Integrated Program in Business Analytics (IPBA)

Not Required

3,48,100

23

IIM Raipur

Raipur

West

eDP in Data Science and Machine Learning using R and Python

Not Required

82,600

24

IIM Ahmedabad

Ahmedabad

West

Strategic Analytics: Weaving Analytics into Decision Making Quantitative Data Analytics and its Applications in Business/Marketing

Not Required

1,85,000

25

IIM Ahmedabad

Ahmedabad

West

Big Data Analytics

Not Required

1,50,000

26

IIT Guwahati

Guwahati

East

Post Graduate Certification Program in Data Science

Not Required

3,25,000

27

IFIM Business School

Bengaluru

West

Executive PGDM in Business Analytics

Not Required

-

28

Great Lakes and UT Austin McCombs School of Business.

Mumbai, Bengaluru, Delhi NCR, Chennai, Hyderabad, Kolkata, Pune

Multi

PG Program in Data Science and Business Analytics

Screening, Interview

4,66,100

29

NIT Rourkela

Rourkela

East

Advanced Executive Program in Big Data Engineering

Interview selection

1,97,500

30

School of Management and Labour Studies (TISS)

Mumbai

West

Executive Postgraduate Diploma In Analytics (EPGDA)

Not Required

2,50,000

31

IIBM Institute of Business Management

New Delhi

North

Executive Program in Data Science

Not Required

41,300

32

School of Management Studies, University of Hyderbad

Hyderabad

South

SMS Executive MBA (MBAX)

Written Test

9,44,000

33

REVA Academy for Corporate Excellence (RACE),

Bengaluru

West

MBA Business Analytics

Not Required

3,70,000

34

Vignana Jyothi Institute of Management (VJIM)

Hyderabad

South

Executive PGDM in Business Analytics

Not Required

-

35

Jigsaw Academy With University of Chicago

Bangalore, Delhi NCR, Hyderabad

Multi

PGP in Data SCience

Personal Interview

4,30,700

36

JainX Academy

Bengaluru

West

Executive Program in Business Analytics

Not Required

24,000

37

Lloyd Business School

Noida

West

IBM Executive Programs In Business Analytics (Data Scientist)

Not Required

65,000

38

Lloyd Business School

Noida

West

Predictive Analytics Modeler (Executive)

Not Required

35,000

39

IIM Indore

Indore

Central

Certificate Program in People Analytics and Digital HR

Not Required

94,400

40

IFMR

Chennai, Sricity

South

Certificate in Business Analytics & Big Data

Not Required

-

46

47

Rank

Name

Programs

Program Name

1

upGrad

upGrad

Online Courses in Data Science

The online education industry is suddenly booming in India with the proliferation of virtual/ cloud-based training.

The reason behind its sudden spike is the Covid-19 pandemic.

Even earlier, people showed an interest in online education, but not as much as they do now. Education institutes are closed for the time being and it looks like even if the routine gets back, the trend and adoption of online education will prevail in the modern world. Online education has its own set of lenient features like learning any time at the student’s comfort, and relief from high amounts spent on fees spent on classrooms and hostels.

Online education allows learning to be something beyond the norm. Ultimately, online education leverage students to access unlimited topics and global experts in niche subjects, something otherwise not affordable or imaginable for many.

The Indian government is showing interest in developing online education. The New Education Policy (NEP) 2020 released by the Education Ministry has emphasised on the growing need of online education in India. The policy is designed to maximise the benefits of digital and online education in India while mitigating the downsides. The

48

education policy also promotes initiatives compromising Pilot studies and installation of virtual labs. The policy is aimed to transform the education standards of India by the end of 2040.

Big data is a vast field. The industry keeps growing big as humans generate at least 2.5 quintillion bytes of data every day. The functionalities around the data are also increasing, opening a wide range of education-related possibilities in big data. In India, online education platforms like Edureka, Simplilearn, Udemy, upGrad, etc. are merging with leading Indian institutions in availing big data online education.

However, it is a diverse platform where courses range from simple 10-day basics to a Master’s in big data. The entry for such online courses is easy compared to other college courses. Most of the programs ask students to join classes right away, while only few conduct preliminary online tests.

Some online courses even provide career opportunities by partnering with big entities.

2

Jigsaw Academy

Exam/Eligibility

Fee in INR

Business Analytics Certification Program

Not Required

23,600

upGrad & International Institute of Information Technology, Bangalore

PG Diploma in Data Science

Not Required

1,19,172

upGrad & International Institute of Information Technology, Bangalore

PG Certification in Data Science

Not Required

26,152

upGrad & International Institute of Information Technology, Bangalore

PG Diploma in data science

Not Required

99,310

upGrad & International Institute of Information Technology, Bangalore

PG Certification in Data Science

Not Required

37,360

upGrad & NMIMS

MBA (Executive) with Specialisation in Business Analytics

Not Required

2,40,750

upGrad, Liverpool John Moores universiy & International Institute of Information Technology, Bangalore

Master of Science in Data Science

Not Required

2,36,250

upGrad, Liverpool John Moores universiy & International Institute of Information Technology, Bangalore

M.S. in Data Science

Not Required

1,57,000

WileyNXT, IIM, Lucknow

Executive Program in Business and Data Analytics

Not Required

2,34,820

WileyNXT, IIM, Lucknow

Executive Program in Data Driven Product Management

Not Required

1,59,000

Jigsaw Academy

Big Data Engineering

Not Required

28,320

Jigsaw Academy

Data Science with Python Course

Not Required

29,500

Jigsaw Academy

HR Analytics Course

Not Required

24,662

Jigsaw Academy

Analytics with Excel

Not Required

7,788

Jigsaw Academy

eCommerce Analytics

Not Required

28,320

Jigsaw Academy

Marketing Analytics Course

Not Required

28,320

Jigsaw Academy

Data Analysis Course for Beginners

Not Required

3,304

Jigsaw Academy

Analytics for Leaders

Not Required

10,384

Jigsaw Academy

Data Science with R

Not Required

29,500

Jigsaw Academy

Financial Analytics

Not Required

28,320

Jigsaw Academy & IIM Indore

Integrated Program in Business Analytics (IPBA)

Not Required

3,48,100

Jigsaw Academy & NASSCOM Future Full Stack Data Science Program Skills (FSDS)

Not Required

56,640

Jigsaw Academy In Association With SDA Bocconi

Executive Program In Business Analytics (EPBA)

Not Required

-

Jigsaw University & Manipal Academy of Higher Education

PG Diploma in Data Science

Not Required

11,68,000

49

Rank

Name

Programs

Program Name

Exam/Eligibility

Fee in INR

Rank

Name

Programs

Program Name

Exam/Eligibility

Fee in INR

3

Simplilearn

Simplilearn

Data Science with R Certification Course

Not Required

20,999

6

Analytixlabs

Analytixlabs

Certified Big Data Course

Not Required

40,000

Simplilearn

Data Science with Python Course

Not Required

22,499

Simplilearn

Big Data Hadoop Certification Traning Course

Not Required

19,999

Analytixlabs & IBM

Certified Big Data Course

Not Required

44,250

Analytixlabs & IBM

Data Science 360 Course

Not Required

57,230

Simplilearn

AWS Big Data Certification Training Course

Not Required

20,999

Analytixlabs & IBM

Business Analytics 360 Course

Not Required

45,430

Simplilearn

Introduction to Data Analytics Course for Beginners

Not Required

6,999

Analytixlabs & IBM

Data Science with Python Course

Not Required

26,550

Board Infinity

Learning Path in Data Science

Not Required

65,000

Simplilearn

Business Analytics Certification Training with Excel

Not Required

13,999

Imarticus

Post Graduate Program in Data Analytics

Not Required

2,10,000

Simplilearn & IBM

Data Analyst Master's Program

Not Required

44,999

Simplilearn & IBM

Data Scientist Master's Program

Not Required

49,999

Imarticus & IIBA

Post Graduate Program for Agile Business Analyst

Apptitude Test, Personal Interview

2,93,250

Simplilearn & IBM

Big Data Engineer Master's Program

Not Required

44,999

Imarticus & KPMG

Financial Analysis Prodegree

Not Required

60,000

Simplilearn & IBM

Data Analyst Master's Program

Not Required

44,999

Simplilearn &Purdue University &IBM

PGP in Data Science

Not Required

2,65,500

Imarticus & UCLA

Post Graduate Program In Analytics and Artificial Intelligence

Not Required

1,80,000

Talentedge & eCornell

Data Analytics 360 Certification Program for Indian Executives

Not Required

1,47,500

Ivy Professional School

Data Science and Advanced Tableu Certification Course

Not Required

54,278

Talentedge & IIM Kozhicode

Professional Certificate Program in Business Not Required Analytics

1,18,000

Ivy Professional School

Data Science and Big Data Analytics Certification Course

Not Required

54,278

Talentedge & IIM Lucknow

Executive Program in Marketing Analytics

82,600

Ivy Professional School

Predictive Analytics with R Certification

Not Required

23,482

Ivy Professional School

Data Visualisation and Reporting

Not Required

21,122

Talentedge & XLRI Jamshedpur

Postgraduate Certificate in Business Analytics

Online Assessment

3,54,000

Ivy Professional schools & Honeywell

Data Science with AI and ML Certification Course

Not Required

66,625

Talentedge & XLRI Jamshedpur

Executive Development Program in Marketing Analytics

Not Required

82,600

Edureka

Big Data Hadoop Certification Traning

Not Required

15,996

Edureka

Big Data Architect Master's Program

Not Required

79,999

Talentedge & XLRI Jamshedpur

Executive Development Program in Data Science with Python, R & Excel

Not Required

1,18,000

Edureka

Data Analyst Master's Program

Not Required

69,999

Talentedge and XLRI Jamshedpur

Post Graduate Certificate Programe in Business Analytucs

Not Required

3,54,000

Edureka

Data Scientist Master's Program

Not Required

89,999

Edureka

Not Required

17,596

Manipal Pro learn

PGP in AI & Deep learning

Not Required

-

Python Certification Training for Data Science

Edureka

Talend for Data Integration and Big Data

Not Required

14,236

Manipal Pro learn

PG Certificate Programme in Data Science and ML

Not Required

1,100

Edureka

Data Analytics with R Certification Training

Not Required

15,996

Edureka

Data Science Certification Course Using R

Not Required

19,919

Manipal Pro learn

PG Diploma in Data Science

Not Required

11,68,000

Edureka

Analytics for Retail Banks

Not Required

9,599

Manipal ProLearn

Data Analysis and Visualisation

Not Required

35,400

Digital Vidhya

Masters in Data Science Programme

Not Required

-

Manipal ProLearn

Certificate Program in Big Data

Not Required

41,300

Manipal ProLearn, Equifax

Advanced Business Analytics with Python

Not Required

20,322

Digital Vidya & NASSCOM FutureSkills

Big Data Foundation Course

Not Required

5,000

Manipal ProLearn, Gramener, Equifax

Post Graduate Certificate Program in Data Science and Machine Learning

Not Required

1,00,000

Digital Vidya & NASSCOM FutureSkills

Data Science with Python Online Training

Not Required

29,500

Digital Vidya & Vskills

Data Analytics Course

Not Required

12,625

4

5

50

Talentedge

Manipal Pro learn

Not Required

7

8

9

10

Imarticus

Ivy Professional School

Edureka

Digital Vidhya

51

Rank 11

12

13

14

Amity Future Academy,

Programs

Program Name

Exam/Eligibility

Fee in INR

Amity Future Academy, Arizona State University, Thunderbird school of Global Management

Diploma in Business Analytics & Intelligence

Not Required

1,85,000

Amity Future Academy, eCornell

Post Graduate Program in Data Science

Not Required

2,15,000

Edvancer Eduventures

Certified Data Analytics Specialist

Not Required

35,388

Edvancer Eduventures & UPES

PG Program in Data Science

Not Required

60,168

Edvancer Eduventures & UPES

PG Program in Data Science

Not Required

59,000

Edvancer Eduventures, E&ICT Academy, IIT Kanpur, Meity

Advanced Certification in Data Analytics

IMS Proschool

IMS Proschool

Business Analytics COurse with Certification

Not Required

360 DigiTMG

360 DigiTMG

Professional Course in Data Science and AI

Not Required

360 DigiTMG, IBM, UTM

Full Stack Data Science Program

Not Required

Edvancer Eduventures

Not Required

64,888

Big data today has become the buzzword as the amount of data being generated every minute is tremendous.

This surge in data by consumers as well as businesses worldwide is fuelling the need for big data analytics. It assesses analytics tools to unlock information, hidden patterns, market trends and customer preferences that can help organizations to make informed business decisions.

According to Analytics Insight, the global big data analytics market in India is predicted to reach from US$4.4 billion in 2019 to US$18.9 billion in 2025, growing at a CAGR of 27.8% over the projected timeframe.

20

15 50,000 10 79,000 5 2,20,000 0

Excelr

Excelr

Data Science COurse Training

Not Required

35,499

16

JanBask Training

JanBask Training

Data Science Training using R and Python

Not Required

-

JanBask Training

Data Science Certification Training Using R

Not Required

-

Inventateq

Online Data Science Course and Certification

Not Required

16,999

Inventateq

Recruitment Landscape in India

Big Data Analytics Market in India (in US$Billion)

15

17

52

Name

2019

2020

2021

With an ever-growing volume of big data across diverse industries, the demand for big data analytics professionals in enterprises is multiplying exponentially. In 2020, there are 62,793 open job opportunities in big data analytics.

2022

2023

2024

2025

As the accessibility of data will help organizations to reap significant benefits from it, the number of big data open job opportunities will grow exponentially to reach 1,37,630 by 2025.

53

Data Science Job Openings in India 1,37,630 140,000 1,15,850 98,261

106,250 72,337 72,500

80,729

62,793

Data Science Salary in India (1-10 Years)

Experience

Average Salary

Lowest

INR 5,70,000

1-4 years

INR 5,80,000

Average

INR 11,30,000

5-9 years

INR 10,23,000

Highest

INR 19,30,000

Above 10 Years

INR 18,40,000

38,750

5000 2020

2021

2022

2023

2024

2025

Roles & Responsibilities of a Data Scientist and Big Data Analyst Big Data Analysts are data analysts responsible for a range of roles, from acquiring voluminous amounts of data to processing and summarizing it. They deal with big data that primarily encompasses both unstructured and structured data. As data scientists glean, clean, process, and evaluate big data sets to excerpt meaningful insights, big data analysts

understand those insights and translate them into actionable business strategies. They work with a cohort of big data and analytics tools such as Microsoft Excel, MS Office, R, Python, HTML, SQL, C++, Javascript, SAS, Tableau, QlikView, Hadoop, Spark, MongoDB, Cassandra, and more.

Skills Required to Become a Data Scientist and Big Data Analyst To become a successful data scientist or big data analyst, an aspirant must have programming skills, quantitative aptitude, computational frameworks knowledge, data warehousing,

communication skills, and hands-on expertise with multiple technologies, along with auditing skills and business acumen.

Data Scientist Salary: Based on Experience A career in data science is one of the most highly sought after job opportunities in India. As enterprises look to acquire the best talent pool with knowledge in data, big data salary in the country is very high. The average data scientist’s salary with 1 to 10 years of experience in India is INR11,30,000. It ranges from INR5,70,00 to INR19,30,000.

An entry-level data scientist’s salary with experience of 1 to 4 years is INR5,80,000. With growing experience and skills, salaries also rise. A mid-level data scientist’s salary with 5 to 9 years of experience is INR 10,23,000. With over 10 years of experience, big data experts can earn INR 18,40,000.

Data Scientist’s Salary: Based on Companies Companies that play more with data and always look to drive innovation pay handsome salaries for data crunching jobs.

They often compete to get the best talent pool that can help

54

meet business needs.

Here are the leading companies offering lucrative salaries on an average per annum.

S. Company No. Name

Highest Salary

Lowest Salary

Average Salary

S. Company No. Name

Highest Salary

Lowest Salary

Average Salary

1

Google

73.1

2.7

20.0

26

Infosys

17.3

2.1

8.2

2

Amazon

43.5

6.0

16.1

27

HCL Technologies 17.0

4.0

8.9

3

McKinsey & Company

39.7

8.2

12.6

28

PaypaL

16.5

2.4

6.1

29

Ernst & Young

16.1

8.4

10.0

4

IBM

37.1

2.88

12.4

30

Axis Bank

16.0

7.1

10.7

5

Ericsson

34.7

3.9

19.3

31

ITC Infotech India 15.0

4.1

8.8

6

PwC

29.2

3.7

12.5

32

Genpact

14.3

10.0

12.8

7

Airtel

27.7

6.0

19.4

33

14.0

5.0

10.0

8

Reliance Industries

25.6

9.0

17.1

Larsen & Toubro Limited

9

HDFC Bank

25.5

10.0

17.9

34

Thomson Reuters 14.0

6.7

12.8

10

Flipkart

25.2

5.9

19.9

35

KPMG

14.0

4.6

9.3

11

S&P Global

24.5

7.7

14.3

36

IBM

12.4

4.6

5.8

12

Verizon

23.2

7.3

13.4

37

12.2

9.5

10.5

13

Reliance Jio

22.6

6.4

10.6

Robert Bosch India

14

American Express

22.4

11.9

16.9

38

Tech Mahindra

12.0

5.3

8.6

15

Dell Technologies

22.2

6.5

16.8

39

Exadatum

11.4

4.7

6.7

16

Cognizant

21.0

12.0

16.2

40

Saturam

11.3

8.8

11.0

17

Microsoft

20.5

1.9

8.8

41

Accenture

10.9

3.2

5.7

18

Cyient

19.7

1.2

10.1

42

Mu Sigma

10.1

3.5

6.1

19

Deloitte

19.1

9.7

14.5

43

HP Inc.

10.1

7.1

7.3

20

Samsung

18.9

2.1

13.1

44

4.2

7.1

21

Cognizant Technology Solutions

18.8

3.8

11.0

Tata Consultancy 10.1 Services

45

Genpact

10.0

1.6

8.3

46

9.9

5.3

7.6

22

OYO

18.6

9.6

14.1

Bain and company

23

ICICI Bank

18.0

6.5

12.5

47

DataMetica

8.7

4.4

5.3

24

Wipro

17.9

2.9

10.8

48

Concentrix

6.9

2.4

4.6

49

Capgemini

5.5

3.6

4.4

25

UnitedHealth Group 17.4

11.8

13.2

50

Virtusa

5.2

3.5

4.3

55

Top Data Science Roles The rise of data science has come the accompanying explosion in roles in some way which involves data.

No wonder it is one of the hot and progressive fields of technological applications in current times. Perhaps the best job market right now converges in the field of data science.

Meanwhile, this emerging field is revolutionizing technology and industries alike. As industries across all verticals become more data-driven, it influences the jobs market and the skills that are required. As we discover new data touchpoints and ways to analyze it, the society we reside in, our daily lives and

the nation’s economy becomes more reliant on the data.

This is also why data science and big data support a wide spectrum of job opportunities.

While data scientist is herald as the sexiest job of the 21st century, in recent years, job roles like data architect, data analyst, are gaining more traction. Let’s have a quick overview of the most common job roles in data science and big data.

Data Statistician

Business Analyst

Average Pay in India: INR 5,18,935

Average Pay in India: INR 6,42,380

A Data Statistician collects, analyses, understand qualitative and quantitative data by using statistical theories and methods.

A business analyst is proficient in the skill of linking data insights to actionable business insights and can use storytelling techniques to spread the message across the entire organization.

Skills Database systems (SQL and NoSQL), Distributed Computing, Data editing and cleaning, Analysis tools (MatLab, R), Statistical software (SAS, SPSS

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Skills SQL, MS Office, Storytelling, conscious listening, Power BI

Data Engineer

Data Administrator

Average Pay in India: INR 8,30,088

Average Pay in India: INR 6,82,476

A Data Engineer focuses on the development, deployment, management, and optimization of data pipelines and infrastructure to transform and transfer data to data scientists for querying.

Data Admin has to ensure that the database is accessible to every stakeholder in the organizations, is performing legitimately and that the necessary safety measures are in place to keep the stored data safe and immune to hacking.

Skills

Skills

Programming languages (Java, Scala), NoSQL databases (MongoDB, Cassandra DB), frameworks (Apache Hadoop)

ERP, Data modeling and design, Java, HTML, Database management system (Oracle 11g, Microsoft SQL Server, IBM DB2, Sybase and MySQL), Knowledge about operating systems (Windows, Linux, UNIX), Management Of Information Systems.

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Data Architect

S.No

The Most Popluar Data Science Profiles

Industry Demand

Average Salary (in INR)

Average Pay in India: INR 19,83,996

1

Data Scientist

10.9%

9,07,834

2

Data Analyst

10.7%

4,63,511

3

Business Analyst

10.0%

6,30,283

4

Senior Business Analyst

7.4%

10,31,875

5

Senior Data Analyst

6.3%

8,35,213

6

Data Engineer

5.6%

7,90,929

7

Financial Analyst

5.3%

4,43,139

8

Big Data Engineer

4.2%

8,07,177

9

Senior Financial Analyst

3.7%

6,49,433

10

Senior Data Scientist

3.7%

19,32,507

11

IT Business Analyst

3.2%

5,82,358

12

Business Operations Analyst

3.0%

5,41,775

13

Business Systems Analyst

2.8%

8,46,765

14

Lead Business Analyst

2.8%

14,64,525

15

Associate Business analyst

1.9%

5,03,474

16

IT Analyst

1.9%

4,63,511

17

Business Technology Analyst

1.6%

6,36,199

18

Associate Data Scientist

1.2%

7,17,964

19

Junior Data Analyst

1.4%

4,11,847

20

Business Data Analyst

1.4%

5,64,791

21

Data Specialist

1.2%

6,12,453

22

Business Intelligence Analyst

1.2%

5,73,881

23

Lead Data Scientist

1.2%

20,44,889

24

Data Quality Analyst

1.2%

3,89,283

25

Associate Data Analyst

1.2%

4,76,557

26

Data Science Engineer

0.7%

8,22,265

27

Data Architect

0.7%

17,03,060

28

Data Science Manager

0.9%

22,70,604

29

Lead Data Analyst

0.9%

12,42,623

30

Operations Analyst

0.9%

4,10,515

31

Big Data Developer

0.2%

8,07,177

32

Senior Operations Analyst

0.5%

6,37,984

33

Senior Data Engineer

0.2%

14,71,857

34

Senior Analyst

0.2%

7,06,444

Data Architects are charged with the responsibility of designing, creating, deploying, and managing an organization’s data architecture. They have to design blueprints for data management framework to integrate, centralize and maintain data sources.

Skills RDMSs (relational database management systems) or foundational database, Programming languages (Python, Java, C++), Hadoop technologies, like MapReduce, Hive, and Pig, ETL (extract, transform, load), Data modeling (Impala, Oozie, Mahout, Flume)

Data Analyst Average Pay in India: INR 4,27,021 A Data Analyst works on processing and performing mainly statistical analysis on existing datasets. Apart from that, a data analyst is responsible for data querying, forecasting to look for relationships, patterns, trends in data.

Skills Programming skills (SAS, R, Python), statistical and mathematical skills, data wrangling, data visualization (Tableau, Qlik), spreadsheet tools like Microsoft Excel or Google Sheets

Data Scientist Average Pay in India: INR 8,15,688 A Data Scientist’s work involves understanding an organization’s goals and determine how data can be used to achieve those goals. A data scientist also designs predictive models which often incorporate machine learning and deep learning protocols; for the purposes of prediction, gleaning data, or data analysis, etc.

Skills Programming skills (SAS, R, Python), Statistical and Mathematical Skills, Storytelling And Data Visualization, Hadoop, SQL, machine learning, Predictive Modeling

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Why Pursue Career in Data Science As mentioned earlier, this branch of technology is proliferating with new avenues of exciting job potential and lucrative salaries. Other than that, here’s why a career in data science is one of the best: » Low Competition for Available Positions » Chance to work with C-level administration » High Demand for Data Science Experts » Opportunity to lead businesses and be part of the decision-making team » Work from Home » Diverse Roles and Responsibilities » Opportunity to make a better world via data science models that are used in sectors like healthcare, and other research sectors. » It is Exciting, Mysterious and Evolving field.

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Market Recommendation Undoubtedly, data is everywhere around us.

Businesses of all sizes and types are making significant leaps and bounds in delivering enhanced and improved business outcomes by harnessing their data.

For this, they are leveraging effective big data analytics solutions to process this data in order to derive meaningful insights. While data has become a new currency for enterprise growth, big data analytics is not only an essential tool but it is becoming a multi-faceted skill for organizations.

Having relevant skills can play a crucial role to cope with the relentlessly evolving big data sets and transform businesses into a data-driven organization.

To become successful in the field of data science, there are multiple ways professionals and students can learn and master this domain. As mentioned above in this report, an aspirant can get started in this field through a Bachelor’s, Master’s and Ph.D. program,, along with online and executive programs.

In recent years, the need to improve the quality of education has become indispensable as India is progressively striding towards an digital ecosystem. Data science is one of the fields that is emerging rapidly, enabling IT professionals to

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survive the data world. Since big data analytics is becoming a sought-after career option in nearly every business area, aspirants must seek ways to enhance their knowledge and develop the skills that can help them deliver more value to their organizations.

With companies seeking advanced skills when acquiring the best talent, they also must initiate re-skilling and upskilling programs to improve the data knowledge of their employees, both existing and new ones. It has become essential than ever before to work with large data infrastructure to stay competitive in today’s dynamic market. Analytics Insight estimates over 133 million new job opportunities to be generated by the fourth industrial revolution. In India, about 1.37 million new jobs in data science to remain open by 2025.

Thus, to master data science and survive the rapidly growing filed, an aspirant must look for advanced big data analytics skills and knowledge that can help them in their personal as well as professional life.

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Conclusion

Data Science is growing up fast. Today, organizations in various sectors, are grappling to make sense of an exorbitant amount of disparate and diverse data.

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From government institutions, social networking sites, healthcare, IT companies, retail, BFSI to manufacturing industries, there is not any area, where data science and big data is not being leveraged. The ability to transform raw data into valuable insight has a profound impact on how the world moves closer to digital empowerment. It also helps in enabling companies to make smarter business decisions, analyze the market and understand customer patterns.

Without the expertise of professionals who mine, extrapolate and share data-driven insights, data science is valueless.

As the importance of data processing and data-powered businesses rises, so does the demand for data experts.

This means, data science is constantly evolving into one of the most promising and in-demand career paths for skilled professionals. These data experts must have extensive knowledge requirements, including academic and professional training and/or experience in their selected

career domain. Further, the typical responsibilities of a data professional include collecting, organizing and translating data into actionable insights in a way that positively influences business decisions or research results. So, to surmise, they are becoming crucial parts of products, trades, public agencies, and non-profit organizations. This is the reason why organizations are facing a shortage of data professionals.

Therefore, it is vital that these data experts must have relevant skills and hone them to succeed on a professional level that benefits them and their organization. Moreover, factoring the abundance of opportunities and promises offered by data science and the shortage of skilled personnel, pursuing a career will surely be a rewarding experience and lifelong learning. So, if one is intrigued by technologies like big data, machine learning, artificial intelligence and predictive analytics, s/he should give data science a chance.

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About Analytics Insight Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors and ranks developments, recognition, and achievements made by Artificial Intelligence, Big Data Analytics, Cloud Computing, Business Intelligence, Robotics companies across the globe. Analytics Insight publishes the World’s first print and online Magazines, Business Reports and White Papers dedicated to these disruptive technologies.

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