â€œOur Master of Science in Data Science is geared toward training people to be business analysts who not only understand big data, but who can effectively use it in business. Our graduates will understand specialized tools to acquire and use data. Then, from the business end, they will understand how to use the data for a competitive advantage. Our program incorporates three key characteristics: asking the right types of questions; using technology to obtain data; and using statistics to understand the data.â€? Eric Walden, Ph.D., Associate Professor Director of Data Science Programs Area of Information Systems and Quantitative Sciences
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MASTER OF SCIENCE IN DATA SCIENCE AVAILABLE
100% ONLINE OR IN-PERSON
ON THE LUBBOCK CAMPUS
TECHNICAL SAVVY │ ANALYTICAL SKILLS │ BUSINESS SKILLS │ ACTIONABLE INSIGHT ABOUT THE PROGRAM This one-year STEM-designated program consists of 12 courses and is available 100% online or in-person on the Lubbock campus. Students will learn how to use advanced technologies to manipulate big data, utilize rigorous statistical methods to interpret the data, and obtain the business skills necessary to translate their understanding into actionable organizational strategies. Course topics include statistics, technology, and business, as well as courses integrating the three areas. Graduates can expect to ﬁnd employment in data science, business analytics, business intelligence, and big data ﬁelds – some of the most rapidly growing areas in business as well as in medicine and the applied sciences. With the Rawls College’s low tuition rates and one-year completion time, this program offers an excellent return on investment for students.
INDUSTRY DEMAND According to IBM’s “The Quant Crunch” report, the number of jobs for data scientists is projected to grow by 28% through 2020. This is on top of an already existing shortage of skilled data scientists. This skills shortage is great news for our students as it drives up both salaries and opportunities. Our graduates have secured positions in companies such as KPMG, General Electric, Sears, LodgIQ, Hertz, Dematic Reddwerks and others. Our students average starting salary is $101,500. To put this all into perspective, every minute of the day in 2017, 2,657,700 Gb of data are used on the internet by Americans alone, and someone has to make sense of that data. Moreover, in the future this problem will get bigger, not smaller, so data scientists will be in demand for the foreseeable future.
(12 COURSES, 36 CREDIT HOURS) Students take two condensed courses simultaneously for a total of four courses per semester. Coursework must be completed sequentially in the order below, as concepts build upon each other.
SEMESTER ONE ISQS 5346: Statistics For Data Scientists ISQS 6337: Scripting Languages ISQS 6349: Prescriptive Analytics ISQS 6338: Database Concepts
SEMESTER TWO ISQS 5341: Big Data Strategy ISQS 5350: Project Management ISQS 6339: Business Intelligence ISQS 6350: Multivariate Analysis for Data Science
SEMESTER THREE ISQS 7339: Prescriptive Analytics ISQS 6347: Data and Text Mining ISQS 5330: Decision Theory and Business Analytics ISQS 5381: Data Science Project
APPLICATION PROCESS For online application please go to: https://www.depts.ttu.edu/gradschool/admissions/ howtoapply.php You will need: • Transcripts • GRE/GMAT scores. A GRE/GMAT waiver is available for applicants with more than ﬁve years of relevant work experience. Please email a copy of your resume to firstname.lastname@example.org to request the waiver. • A resume • Proof of English Proﬁciency (see http:// www.depts.ttu.edu/gradschool/admissions/ InternationalProspectiveStudents.php). For additional questions about the admissions procedure, please contact email@example.com.
CONTACT Eric Walden, Ph.D. firstname.lastname@example.org 806.834.1925
Learn more about the program at datascience.ba.ttu.edu