Université Côte d'Azur - International MSc programs by Service Communication de l'Université Nice Sophia Antipolis

Floriane Delavault diplĂ´mĂŠe du Master FOQUAL

International MSc Program

univ-cotedazur.fr

University Côte d’Azur

Founded in 2015, the University Côte d’Azur aims at bringing together all stakeholders in higher education and research of the French Riviera. The French Government selected the University Côte d’Azur as winner of the “Plan d’Investissement d’Avenir 3”, which means that the University can now count itself amongst the «top 10» of the best French universities. UCA has structured its initiative of excellence in four programs, one of which is an educational program. It consists of creating intensive courses mainly at the Master level and introducing a new generation of diplomas: they are all multidisciplinary, call for new educational technologies, and are taught entirely in English with cohorts made up of 50% of international students. This booklet aspire to introduce this new generation of diplomas, which are all going to open in September 2018.

IDEX FORMATIONS Chemistry Management of the Flavour & Fragrance .....................9 Environmental Sciences Management of Marine Ressources................................15 Modelling of neuronal and cognitive systems.............19 Plant Bioprotection and Biostimulation........................25 Quantitative biology & medicine ......................................27 Educational Technologies Smart- EdTech, Co-creativity and digital tools for educational innovation................33 Data Science Pole Data Sciences MoDSU ...........................................................39 Data Sciences ROCC ...............................................................43 Biobanks and Complex Data management..................47 Digital Transformation and IoT Consulting (Digit-IoT) .............................................51 High Performance Computing and Data Sciences...55

CHEMISTRY

Master of Science (MSc)

MANAGEMENT OF THE FLAVOR AND FRAGRANCE INDUSTRY

Master of Science (MSc) MANAGEMENT OF THE FLAVOR AND FRAGRANCE INDUSTRY

Key elements 2 years Master level

100% English track Opening 2018 Program supported by the Chair UNESCO Project

The ÂŤ Management of the Flavor & Fragrance Industry Âť university degree offers an innovative interdisciplinary educational program in this field. This DE2P (Double Expertise Profesionnal Program) has a major and minor academic structure which fosters skill development in different fields such as law, marketing and science).

Courses First year Core curriculum - 150h Flavour and fragance general kwowledge, Business and foreign languages, Tutored Project

Major Science - 200h

Major Marketing - 200h

Major Law - 200h

Formulation and chemistry of flavours & fragrances Natural raw materials Analytical processes & practical works

Survey and marketing research, Management and marketing offer, Business Management

Opening sept. 2019

Minor Marketing - 50h

Minor Science - 50h

Minor Marketing - 50h

Basics of flavour & fragances marketing,

Chemistry of flavour & fragances

Basics of flavour & fragances marketing,

Minor Law - 50h

Minor Science - 50h

Opening sept. 2019

Chemistry of flavour & fragances

Internship - 4 months + 2 additional months

Courses Second year Core curriculum - 150h General knowledge on flavour and fragrances, Business and foreign languages, Tutored Project

Major Science - 200h

Major Marketing - 200h

Major Law - 200h

Formulation and chemistry of flavours & fragrances, part 2 Natural raw materials, Part 2 Analytical processes & practical work

Survey & marketing research, part 2 Marketing strategies Communication and distribution of marketing materials in a worldwide digital context

Opening sept. 2019

Minor Marketing - 50h

Minor Science - 50h

Minor Marketing - 50h

Basics of flavour & fragances marketing,

Chemistry of flavour & fragances, part 2

Basics of flavour & fragances marketing,

Minor Law - 50h

Minor Science - 50h

Opening sept. 2019

Chemistry of flavour & fragances, part 2

Internship - 6 months

Context

Admission

Global capital of perfumes, Grasse hosts all actors of the flavor and fragrance industry, such as: the culture of aromatics and medicinal plants, the transformation and creation companies, … All aspects are developed and processed in this territory, which generates approximatively 3000 jobs that are direct result of this industry.

Students with bachelor / BBA level in science, marketing, management, or law and 180 validated ECTS and professionals with working experience in the fields of flavors & fragrances can apply to this program. Conditions of admission: application form, level test, TOEIC 815 or IELTS 7,5 and interview

Upon receiving the UCA University degree, students will pursue their careers in the following fields within the industry:

Tuition fees: 4000€*

Marketing • Consumer understanding • Sensory evaluation • Sales & Business development • Operational marketing • Development marketing • Market surveys Science • Sensory evaluation • Research & Development • Creation of flavors & fragrances • Regulatory & Quality • Applications Law • Patents • Copyrights • Innovation valorization

Innovative approach The entire program is based on acquiring fundamental knowledge and professional expertise in this industry. This transfer of knowledge is available through the Edhec Business School’s distance education e-learning experience which is delivered by professors and industry managers. This novel expertise is offered to the student with an optimum course structure through virtual classes, online courses, online exa.

*The tuition fee may vary according to your residence status, namely if you are a resident of an EU country or of a country outside the EU. In addition, financial aid (need-based or meritbased scholarships) will be available to students, and other sources of funding will also be available through each training course.

UNESCO Chair "Perfume science: between traditions and innovations” The South-East of France and more particularly the region of Grasse is one of the highlights in the perfume industry worldwide. All the actors are involved: perfume plant producers, raw materials processing companies, odorant compounds synthesis, perfumers, teachers, trainers and researchers. The know-how associated with the perfumery professions represents a strong potential for innovation, from a societal point of view and human development. The association Patrimoine Vivant du Pays de Grasse has asked for recognition of the know-how related to perfume to the Intangible Cultural Heritage of Humanity. The Côte d’Azur University and the Nice – Sophia Antipolis University are very involved in this process. Thanks to an active teaching and research activity in the field of perfume sciences, the Université Cote d’Azur, requested by the Living Heritage Association of the Grasse region, wishes to invest in a university chair «Perfume science: Between traditions and innovations »

Partners

Contact Claire DIKIDJIAN master-fragrance@univ-cotedazur.fr app.univ-cotedazur.fr/fragrance

ENVIRONMENTAL SCIENCES

Master of Science (MSc) MARRES - SCIENCE, CONSERVATION & VALORIZATION OF THE MARINE RESOURCESÂ

Master of Science (MSc)

MARRES - SCIENCE, CONSERVATION & VALORIZATION OF THE MARINE RESOURCES

Objectives Our interdisciplinary approach, combined with innovative learning methods, empowers students to become academic scientists, conservation specialists, entrepreneurs, or all of the above. Whatever their preference, graduates will be the open-minded specialists our societies need to solve current and emerging ocean-related challenges. To become such talented professionals, our students will: - acquire high-level scientific knowledge, develop critical thinking and adopt the scientific approach in any circumstance. - aid decision making by learning how to assess ecosystem health and environmental impacts of projects with up-to-date techniques and tools (EIA, GIS, etc.) and by adapting their communication to a targeted audience. - appraise current and emerging marine societal challenges, and possible solutions, taking into account the development level of a country. - become entrepreneurs by developing their skills in project management, business administration, marine legislation and intellectual property protection.

As we are only now beginning to uncover the role of the ocean in our society, itâ&#x20AC;&#x2122;s crucial to bring together scientific, economic and societal stakeholders. The greater understanding of marine ecosystems offered by scientists is now opening up brand new socio-economic opportunities. The idea: develop our knowledge of the ocean to better value and protect its resources.

Program The innovative and interdisciplinary approach aims to comprehend the intertwined scientific, societal and economic aspects of the ocean. In MARRES, marine science combines with chemical engineering, legislation, digital tools and entrepreneurship. 10 cumulative months of internships, real-life and long-term projects developed with laboratories, NGOs, governments and companies will enable students to specialize in science, conservation or valorization of marine resources.

Future careers The M.Sc. MARRES program allows the students to continue to Ph.D. prgrams, as a prelude to their future academic career. Students will have the opportunity to develop local or international conservation projects. They may also work in the private sector, in modeling the marine environment, becoming project leaders, project managers, or auditors for organizations connected with environmental issues. Finally, they may become entrepreneurs by creating green (or blue) start-ups valorizing the countless marine resources that they will help to protect.

Master of Science (MSc) MARRES - Science, Conservation & Valorization of the Marine Resources Admission • Students enrolling in the first year should be proficient in English and to be comfortable with biological and ecological basics with a bachelor or “license” (French term) in a relevant field. They should be curious and open-minded, especially in terms of the socio-economic implications of science. • Students having a limited background in biological science and/or ecology (such as business or management majors) and student who do not meet the English proficiency requirements (Toefl 520 / iBT 70) may have to complete a preparatory period before starting the program. • Students with a strong background in biology, ecology and/or oceanography (coming from other programs) may apply for second-year admissions. A jury will investigate the viability of such a project. The 2nd year opens on Fall 2019. • Students unable to attend the program on-site (such as employed students or those with medical restrictions) can apply for the online option. However, their presence is required for a fixed period of time each semester.

Tuition fees: 4000€* *The tuition fee may vary according to your residence status, namely if you are a resident of an EU country or of a country outside the EU. In addition, financial aid (need-based or merit-based scholarships) will be available to students, and other sources of funding will also be available through each training course.

Partners • International scientific partners:

• Conservation management partners: governments of emerging countries and international NGOs • Outreach partners: local NGOs

• Entrepreneurship partners: local to international startups and companies

Contacts Christophe MOCQUET (UCA) Paola FURLA (UNS) Yan GRASSELLI (SKEMA) app.univ-cotedazur.fr/marres

master-marres@univ-cotedazur.fr

Master of Science (MSc)

MODELING FOR NEURONAL AND COGNITIVE SYSTEMS (MODNEUCOG)

Master of Science (MSc) MODELING FOR NEURONAL AND COGNITIVE SYSTEMS (MODNEUCOG

Objectives Graduates will have acquired the basic knowledge in mathematics, statistics, computer science, biology and cognitive science needed to model neurocognitive systems. Moreover, students will have been able to specialise in a domain of interest thanks to the projects conducted in UCA laboratories. All these laboratories are members of the C@UCA core program «Cognitive systems, normality and pathology of the human brain, computationnal neuroscience». The areas of specialisation include medecine, mathematics, linguistics, physics, experimental economics, psychology, computer science, neurophysiology and chemistry of olfaction. Throughout the program, students will be confronted several times with interactions in all these fields, especially in group work. This will give each student the unique opportunity to progressively make individual choices, acquire autonomous thinking and work in an interdisciplinary setting. International mobility and Research & Development work in private companies will also be encouraged through internships.

Through its innovative approaches to mentoring, MoNeuCog aims to foster natural curiosity and autonomy in students. The goal is to develop active researchers at the interface of applied mathematics and cognitive sciences.

Program The first year is dedicated to the basics. It starts with 5 intensive weeks of bootcamp (update training in mathematics, programming and experimental set-ups). The student will develop an eﬃcient and independent working method and become acquainted with the environment of OpenNeuroLab, which is designed to promote group work. The student will continue learning the basics through coursework and projects in one of two tracks: «Computational and Mathematical Neuroscience» and «Cognitive Sciences and Experimentation». Three mini-projects, conceived and supervised in collaboration with UCA laboratories, will be carried out in groups in the OpenNeuroLab. An additional requirement, also based on group work, is a self-designed project to be developed by students in the OpenNeuroLab, where students will be responsible for a small budget. The second year is mainly centered around two internships, with at least one being either abroad or in a private company.

Master of Science (MSc) Modeling for neuronal and cognitive systems (Mod4NeuCog)

Admission Candidates should have a bachelor’s or an equivalent degree in mathematics, computer science, biology, psychology, electrical engineering, economics or linguistics. In addition, they will have to provide evidence of their ability to follow mathematical courses at a rapid pace (preparatory classes, double degree, syllabi of previous mathematics courses and evidence of good grades in these courses, recommendation letters, etc). Students must also provide a motivation letter explaining their interest in neuroscience and cognition and briefly describing a project they would like to develop. The admission will be selective, based on the students’ application materials.

Contacts Maciej Krupa, Fabien Mathy, Alexandre Muzy, Patricia Reynaud-Bouret, Tobias Scheer http://app.univ-cotedazur.fr/moneucog

master-moneucog@univ-cotedazur.fr

Master of Science (MSc)

BOOST BIOCONTROL SOLUTIONS FOR PLANT HEALTHÂ

Master of Science (MSc)

BOOST - BIOCONTROL SOLUTIONS FOR PLANT HEALTH

Key features Track taught in English Immersion of students within internationally recognized laboratories and R&D centres Built-in interdisciplinarity Customizable training thanks to teamwork projects and internships

mentored

professional

Opportunities to focus on: Plant improvement, molecules and substances for plant health, or biocontrol using macro- and micro-organisms A major global challenge is to implement ecofriendly plant production technologies, while minimizing the hazards and risks to human health and the environment. This challenge is faced by all economic sectors that produce or use plants: agriculture, agrifood, cosmetics, pharmaceutics

To grow the next generation of scientists in plant protection

Implementation of ecofriendly plant production technologies, minimizing the hazards and risks to human health and the environment, is a major challenge worldwide. This challenge is faced by all economic sectors producing or using plants: agriculture, agrifood, cosmetics, pharmaceutics

Program BOOST training program is unique in France and one of only a few similar international programs; Face-to-face and on-line learning; Flexible and individual training opportunities with different elective tracks; Students are individually mentored and coached by biocontrol experts; Opportunities for continuing education. BOOST training is provided in English and conducted within the laboratories of the UniversitĂŠ CĂ´te Dâ&#x20AC;&#x2122;Azur and its academic and industrial partners, located in the Sophia Antipolis Science and Technology Park (Southern France)

Fundamentals Biology* Digital tools Law & IP Management

Year 1 / Master 1 Mentored team projects Research, Development, Expertise

Professional learning 6 months internship in a research laboratory or company

* Introduction to Biocontrol ; Ecotoxicology ; Analytical chemistry; formulation technologies; Plant physiology & genetics ; evolution & adaptation, Ecology

Fundamentals Biology* Digital tools Law & IP Management

Year 2 / Master 2 Mentored team projects Research, Development, Expertise

Professional learning 6 months internship in a research laboratory or company

* New management for agriculture; Plant physiology & genetics ; Population genetics, biology & dynamics, Chemical & behavior ecology

Master of Science (MSc) BOOST - Biocontrol Solutions for Plant Health Future careers BOOST fosters the training of professionals who will have the expertise to lead projects in all sectors related to plant health research and innovation. Graduates will develop a broad view of associated challenges, disciplines and stake-holders. As future professionals, students will be provided with the knowledge, know-how and experience to act as researchers, R&D leaders in extension services and industry, or experts in consulting companies, public bodies and NGOs.

Admission Eligible students holding 180 ECTS credits who wish to specialize in research & innovation in plant genetic improvement, biological control, defense stimulation or biostimulation. Proficiency in English required, based on TOEFL, TOEIC scores or an internal English test.

Tuition fees: 4000â&#x201A;Ź* *The tuition fee may vary according to your residence status, namely if you are a resident of an EU country or of a country outside the EU. In addition, financial aid (need-based or merit-based scholarships) will be available to students, and other sources of funding will also be available through each training course.

Partners

Contacts Pierre ABAD (INRA), Thibaut MALAUSA (INRA) http://univ-cotedazur.fr/en

master-boost@univ-cotedazur.fr

Master of Science (MSc)

MODELIFE: QUANTITATIVE BIOLOGY & MEDICINE

Master of Science (MSc)

QUANTITATIVE BIOLOGY & MEDICINE (MODELIFE)

Objectives • Be able to read literature from various disciplines. • Learn fundamentals of biology/medecine for students with physics-maths-computer science background. • Learn fundamentals of physics-maths-computer science for students with biology/medicine backgrounds. • Know fundamental concepts, methods, techniques of modern biology. • Know physical techniques to acquire data in biology (images, signals, measurements). • Know fundamental methods required to process data, signals, images in the life sciences framework. • Be able to model several classes of biological processes (physical approach, theory, simulation, etc.) in biochemistry, cell biology and biophysics, systems biology, neurons, development, tissues, organs. • Acquire an advanced knowledge of problems at the interface between hard sciences and biology and medicine (biological networks, mechanics and physical-chemistry for biology, mathematical models, computational medicine, etc.). • Mastering scientific oral and written communication for various audiences. • Know how to communicate, manage projects and work with researchers from other disciplines.

The understanding of living systems requires a variety of approaches from many disciplines, often in complementary ways. The aim of this Master is to establish a high-level teaching program, at the interface between Physics, Mathematics, Computer Science, Biology and Medicine. The course will take place over two years (M1 and M2). The second year (M2) will be divided into two tracks: track 1 will be oriented towards Biology and track 2 towards Medicine.The ambition of this master is to train students who can implement different approaches (model experiments, theories, simulations, etc.) and techniques to solve transdisciplinary problems in academic research, R&D and biomedical fields.

Program The general program is a strong common base in M1 with specializations in M2 according to one of the two chosen tracks 1: Physics, computation and modelling for biology 2: Computation and modelling for medicine The second year will begin Sep. 2019. Teaching will be developed by leading experts in relevant fields. First year (M1) : • Original upgrades so that students with backgrounds more orientated towards «biology and medicine» and others more focussed on «maths-physics-computer science» can follow the curriculum. Time will be reserved for tutoring that will carried out by the students themselves, from different backgrounds. • Common fundamental courses will follow the scheme: Biology: concepts and techniques / Data acquisition / Data processing / Introduction to modelling. Two-day lab workshops, to become familiar with experimental, digital, and imaging techniques in local platforms and research units. • Optional complementary courses will provide knowledge and skills in more specialized areas. • A project with two students from different backgrounds, working in pairs, at local institutes will be developed and presented in a local scientific workshop. • Seminars, workshops, summer schools, will be organized for the master’s progem. Some of these will also be associated with the «Modeling, Physics and Mathematics of Living Matter» structuring program of the IDEX UCA JEDI. Second year (M2) : • Fundamental courses • Add-on courses • Seminars, workshops • Project management • 6-month internship

Future careers Graduates of this Master’s program will be comprehensively prepared to pursue a PhD in academic research at the interface between several disciplines. For example, future research activities can be conducted in French and international academic centers or EPST, or in medical research structures and biotech companies, as researchers or engineers. Examples of potential global companies include: Siemens Corporate Technology (USA), Siemens Healthineers Philips healthcare (FR), Zeiss, Leica, Olympus, L’Oreal. Examples of potential local companies: Galderma, Median techhnologies, Quantificare, Therapixel, Neurelec, Dassault Systèmes, etc.

Master of Science (MSc) MODELIFE: Quantitative Biology & Medicine Admission The Master is open to high-level bachelor degree graduates from one of the two fields: Physics / Mathematics / Computer Science or Life Sciences with a strong motivation to work at the interface between these two domains. We welcome applications from candidates of all nationalities. French language proficiency is not an admission criterion. Our students will be expected to meet the following criteria: - Fluent English speakers (internal test). - Full-time courses. Students should submit a CV, a motivation letter explaining their interest in trandisciplinary approaches to research in the life sciences and ability to follow courses in physics, mathematics and computer science. The admission will be selective, based on the student’s application files.

Partners

Structuring Program «Modelling, Physics, Mathematics for living matter». MICA imaging platform of the Côte d’Azur. Modelling, Simulations, Interactions Center (UCA) Medical Data Center (UCA)

Contacts Xavier Noblin, Florence Besse, Frédéric Cazals, Georges Lefthériotis, Benjamin Mauroy, Pamela Moceri, Xavier Pennec, Jacques-Alexandre Sepulchre master-modelife.univ-cotedazur.fr

master-modelife@univ-cotedazur.fr

EDUCATIONAL TECHNOLOGIES

Master of Science (MSc)

SMART- EDTECH, CO-CREATIVITY AND DIGITAL TOOLS FOR EDUCATIONAL INNOVATIONÂ

Master of Science (MSc)

SMART- EDTECH, CO-CREATIVITY AND DIGITAL TOOLS FOR EDUCATIONAL INNOVATION

Objectives Knowledge: • Critical history of pedagogy and digital education • Analysis of the current state of knowledge in cognitive science as it is applied to education • Established tools and their use in distance learning on existing platforms • Lifelong learning: analysis of issues and solutions • Economic models for education, and emerging solutions • Standards and metadata in e-learning, associated tools, notions of the semantic web • Initiation in machine learning and algorithmic mechanisms of learning • Analysis of traces related to student’s learning • Marketing and analysis of EdTech market Skills: Competences: • Create educational multimedia resources with teachers and students • Develop interaction, creativity and adaptability in a group • Create pedagogical and interactive grain software • Create disciplinary or cross-disciplinary educational ontologies • Simulate problem resolution scenarios • Develop interfaces based on user experience • Create electronic and robotic artefacts in a fablab • Design a serious game • Design and present a MOOC • Conceive entrepreneurial solutions: projects, budget, planning • Transform a module of a pedagogical program using disruptive pedagogy • Carry out a creative project with local EdTech companies

The SmartEdTech Master addresses public, social and economic issues in a participative and creative way, to build the education of tomorrow. We are offering the program based on the disruptive pedagogy that is made possible by digital learning. This Master’s program puts smart educational technologies at the heart of its training activities in order to improve today’s education for everybody and to create the education of tomorrow.

Program A threefold scientific approach: • In computer science, students will not only master the tools, but also to acquire skills in order to develop digital technologies in education and to create the added educational value for tomorrow’s content and tools. This includes working with the support of machine learning algorithms and applying them to data generated during the learning and evaluation processes. • In educational science, students will acquire tools to precisely analyse educational innovation (with or without validation). • In applied cognitive science, students will benefit from the latest developments in neuroscience and behavioral psychology to propose effective and human solutions.

Future careers • Project manager in e-learning • Instructional designer • Digital learning consultant • Teacher or trainer in online environments • Researcher in educational technology • Digital innovation director • Educational advisor • Your own start up ... and other future jobs for change-makers !

Master of Science (MSc) Smart- EdTech, Co-creativity and digital tools for educational innovation Admission Candidates from a diversity of backgrounds are welcomed to the master’s program. During the program they will develop cross-disciplinary competencies with a dual goal: • to contribute to improve today’s education and the education of tomorrow: the priority target group are teachers, trainers, tutors and other persons responsible for young people’s education. • to train new professionals who will create diverse educational products. They must be aware not only of technical solutions, but also relate to pedagogical principles. Master SmarEdTech incorporates both initial and continuous education, in public and private sectors. This program aims to help gradutes develop transversal skills, for example, to become researchers and entrepreneurs at the same time, and to create the jobs of tomorrow.

Partners

Laboratory CRIFPE of

Department of Risk Engineering and Informatics of Health of

http://univ-cotedazur.fr/en

master-edtech@univ-cotedazur.fr

DATA SCIENCES POLE

Master of Science (MSc) DATA SCIENCEÂ

Master of Science (MSc) DATA SCIENCE

Objectives The «Data Sciences» Master is a 2-year MSc at the Université Côte d’Azur. It provides training in data science methods, emphasizing mathematical and compuer science perspectives. Students will receive a thorough grounding in theory, as well as learning the technical and practical skills of data science enabling them to apply advanced methods of data science to investigate real world questions. The core courses will provide students with comprehensive understanding of some of the most fundamental aspects of data, computational techniques and statistical analysis. Students will then choose courses from a range of optional modules ranging from Distributed Computing for Big Data and Statistical Computing, to Financial Statistics, Management and Marketing. The program will combine traditional lectures with computer lab sessions, in which students will work with data to complete hands-on exercises using programming tools, and analyze real data provided by professionals who are working in the industry. The «Data Science» Master also leads to Ph.D. programs in the area of applied mathematics and computer sciences.

Data Science is an emergent field of activity, which will become increasingly vital to the digital economy in the coming years. This requirement is mainly due to our increasing capacities in data acquisition and processing. The UCA «Data Science» Master of Science prepares future specialists in mathematical techniques and computer tools necessary for the extraction of knowledge from masses of data.

Program First year:  Semestre 0: M10 - Refresher courses Semestre 1: M11 - Statistical inference M12 - Data Mining and Big Data M13 - Workshops and ethical aspects

Semestre 2: M14 - Theory of Statistical learning M15 - Practice of Machine Learning M16 - Data Visualization and distributed systems M17 - Case studies M18 - Options(track-dependent) Semestre 3: M19 - Internships

Second year (track «Data Science for Research and Development», 5 modules to choose):

Second year (track «Data Science for Marketing, Finance, Business and Development»):

Semestre 1: M21 - Learning in high-dimensions M22 - Bayesian and advanced learning M23 - Data analysis M24 - Medical and networked data M25 - Random Fields and system performance M26 - Deep learning and web mining M27 - Information theory and smart cities M28 - Data streams and e-health

Semestre 1: M31 - Data Mining for Finance M32 - Big Data Applications for Financial Markets M33 - Marketing Modeling M34 - Management M35 - Mathematical Finance M36 - Case Studies M37 - Maths module (to choose in track A)

Semestre 2: M29 - Internship

Future careers Graduates will be competitive for positions both in private companies and public research institutes. They will be prepared to succeed in positions such as data scientists, data miners, or research assistants. Further research at the Ph.D.-level will prepare graduates for careers as research engineers or research. We also expect that our partners will offer several positions to our most competitive graduates.

Master of Science (MSc) Data Science

Admission Admission will be based on application files and, ultimately, on an interview. Applicants will be asked to write a proposal for a Data Science project that they will be able to develop during the first year if they are selected.

Partners

Contacts Prof. Frederic Mallet, I3S, Prof. BenoĂŽt Miramond, LEAT http://univ-cotedazur.fr/fr

master-rocc@univ-cotedazur.fr

Master of Science (MSc)

ROCC - NETWORKS AND CONNECTED OBJECTS, FROM SENSORS TO THE CLOUDÂ

Master of Science (MSc)

ROCC - NETWORKS AND CONNECTED OBJECTS, FROM SENSORS TO THE CLOUD

Objectives The degree aims to develop broad competency in a very active field where computer science and electrical engineering is combined to design the future systems with millions of connected devices that safely cooperate, while still preserving the individuals and their rights. The «Internet of Things» track specifically focuses on skills required to design new families of connected devices and smart objects and their infrastructure (solutions and challenges) by: - Understanding the tradeoffs between different solutions for the devices and the communications; - Building the embedded software through all layers (sensors, OS, middleware); - Considering economic and business issues; - Having the vocabulary to communicate with specialists on legal issues. The «Network, Performance and Cloud (NPC)» track focuses on the design and analysis of the new widely distributed infrastructure for massive data communications. It will: - Provide students with basic and specialized skills in the area of Network and Cloud Architecture and its evolution. - Help students to meet the challenges and make the technological choices for the next-generation internet, from connected devices to the cloud. - Prepare candidates to undertake further investigation and research into cloud computing and networking

Connected Objects are invading our daily lives - houses, cars, factories, buildings, cities - and posing unprecedented challenges at the cross-road between electronics and computer science concerning their design, their networking needs and the management of the huge amount of data that they generate in a continuous and abundant manner. These data also need to be stored and processed in an adequate and timely manner. The aim of this program is to provide students with basic and specialized skills related to all aspects of connected objects from the basic object to the overall management systems, in a holistic and coherent manner.

Program First Year: The first year is designed to bridge the gap between Computer Science and Electrical Engineering and a 4-month internship in a research lab. Second Year • IoT Track - Architecture of Sensors - Embedded OS - Infrastructures for IoT • NPC Track - Network Optimization and Performance Analysis - Future Networks - From Distributed Systems to Cloud Computing • Elective modules - Recent Legal Issues in IoT - Security & Privacy - Smart and miniature antennas - Network on Chip - Data Mining - Web of Things - Reactive Programming for IoT - High-Performance Embedded Computing • 4- to 6-month internship in research lab or with industrial partners

Future careers This program is designed for students how are highly motivated by careers in Research & Technology. We will prepare future researchers and academics in the fields of Computer Science and Electrical Engineering to address the challenges of IoT devices, CyberPhysical Systems and the Future Generation of Internet.

Master of Science (MSc) ROCC - Networks and Connected Objects, from Sensors to the Cloud Admission We seek outstanding candidates with a B.Sc. or equivalent in Computer Science or Electrical Engineering and a clear eagerness to strengthen their profile in the other discipline (CS if EE and vice-versa). The first year is meant to bridge the gap between Computer Science and Electrical Engineering and culminates in a 4-month internship in research lab.

Partners I3S Laboratory, UMR 7271 CNRS LEAT Laboratory, UMR 7248 CNRS INRIA Sophia Antipolis Méditerranée Industrial partners from the digital technology park of Sophia-Antipolis

Contacts Prof. Frederic Mallet, I3S, Prof. Benoît Miramond, LEAT http://univ-cotedazur.fr/en

master-rocc@univ-cotedazur.fr

Master of Science (MSc)

BIOBANKS AND COMPLEX DATA MANAGEMENTÂ

Master of Science (MSc)

BIOBANKS AND COMPLEX DATA MANAGEMENT

Objectives On completion of the Master’s program, students will be able to: • Become biobank managers at an international level • Assure and enhance quality of biological samples • Offer advice for marketing and biobank sustainability • Address ethical, legal, and societal aspects of biobanking • Assure management of complex data associated with biological samples

A Biobank is a biological materials repository that collects, processes, stores, and distributes biospecimens to support scientific investigation. The main objective of the Master is to acquire knowledge, experience, and practical skills that will qualify graduates to work in the multidisciplinary field of biobanking (humans, animals, plants, and other living organisms) and complex data management.

Program • First Master’s degree in Europe on Biobanking and Complex Data Management. • Offered at a State University (Université Côte d’Azur; http://univ-cotedazur.fr/english) and developed by leading experts in the field. • Dedicated for Biological Sciences students looking to gain professional skills to deliver an evolving biobank service that meets regulatory and user requirements. • International exchanges among a wide network of academic and industry partners. • Two in-company internships of 6 months during the 2 years of training (France or abroad).

Future careers • Biobank Manager/Administrator • Biobank quality Manager • Data Manager • Scientific Adviser to public and private sector clients • Product Manager • Regulatory Specialist • Technological Specialist • Logistics Specialist • Logistics Manager/Administrator • Logistics Analyst

Master of Science (MSc) Biobanks and Complex Data Management Admission The Master is open to exceptional bachelor degree graduates in the field of Life Sciences. We welcome applications from candidates of all nationalities. French language proficiency is not an admission criterion. Our students will respect the following conditions: - The students must be fluent English speakers (a Language Certificate may be required). - Able to commit at least 6 months internship abroad (M1, M2 or both). - Full-time courses (FR: présence obligatoire). For students from French and non-French institutions (‘international admissions’) the selection is a 2 phase process.

Partners

http://univ-cotedazur.fr/ www.oncoage.org

www.chu-nice.fr

www.hopital-centre-antoine-lacassagne.fr

www.biobanques.eu

www.medecine.unice.fr

www.inra.fr

www.inria.fr

www.canceropole-paca.com/

Contacts Pr. HOFMAN Paul , Dr. ILIE Marius, Dr. ARRIGHI Nicole masterbiobank@unice.fr http://univ-cotedazur.fr/english/uca-education/diplomas/biobanks-complex-data

Graduate diploma

Digital Transformation and IoT Consulting (Digit-IoT)

Graduate diploma

Digital Transformation and IoT Consulting (Digit-IoT)

Objectives Benefits for the student (traditional initial training) - Access to up-to-date research and reflection stimulated by leading researchers and reflective practitioners from different industries. - Benefits of the local Sophia-Antipolis ecosystem and the UCAJEDI ‘Digital Challenge’ reference center, which is also the emblematic site of French Tech. Benefits for the organization (executive training) - An increase in confidence, expertise and ability to successfully manage digital and IoT projects. - A capacity to better understand the IoT market, as well as a sense of the implications of changes in the wider digital environment, showing how the ‘big picture’ connects with the details. - A space for reflection away from day-to-day work routines to enable to leverage change more effectively. - A modular format that enables participants to integrate study into their working life. If you wish to participate in one or several modules in the framework of an executive training program, you will be awarded a certificate from the University Côte d’Azur upon succesful completion of the module. Successful candidates can participate in one or several modules. Participants who successfully complete a module are awarded a certificate from the Université Côte d’Azur to confirm attendance and completion of the module.

The graduate diploma DigitIoT is a multidisciplinary program that will broaden your repertoire as an IoT consultant and a leader in digital innovation. The emphasis on critical thinking will enable you to adjust expertise to specific situations. Our program provides global grounding in digital economics and management, recent legal issues in IoT, design, ergonomics and technological challenges in the IoT domain. Our faculty are experts in their fields and they develop up-to-date best practices and the latest academic research. Partnerships with local firms (such as IBM) in the digital domain will offer all our students professional coaching to help define their team-work competencies and their multisdiciplinary analytical skills.

Program The DigitIoT program is a three month graduate diploma which provides a global grounding in digital economics and management, recent legal issues in IoT, design and ergonomics and technological challenges in the IoT domain. Our faculty are experts in their fields and they develop up-to-date best practices and the latest academic research. All our students will be offered professional coaching to help define their team-work competencies and their multisdiciplinary analytical skills.

Future careers As a graduate of UCAâ&#x20AC;&#x2122;s program in Digital Transformation and IoT Consulting, you can pursue a career as an IoT consultant, a digital strategy consultant, a digital project manager, a data protection officer, an IoT designer. Many other related careers will be at your disposal as the program will combine different pluridisciplinary skills. The graduate diploma Digit IoT provides fundamental competencies for an emerging job market, as in the digital sector, 80% of jobs that will exist in 2025 do not exist yet.

Master of Science (MSc) Digital Transformation and IoT Consulting (Digit-IoT) Admission - Students that apply are expected to have achieved (or be predicted to achieve) a first-class graduate degree with honors in relevant fields (economics, management, law, psychology, ergonomics, design, computer science, engineering). - Senior executives are expected to have a graduate degree in one of the relevant fields.

Tuition fees • 2500 euros (initial undergraduate and graduate studies) • 10000 euros (continuing education )

Contact Program director: Lise Arena (Assistant Professor in Management Information Systems, UCA, CNRS, GREDEG) lise.arena@unice.fr

Module coordinator: Maurille Larivière (Co-founder CEO-COO, UCA, the Sustainable Design School)

maurille.lariviere@the-sds.com

Frédéric Mallet (Full Professor in Computer Science, UCA, INRIA, CNRS, I3S)

Frederic.Mallet@unice.fr

Thierry Marteu (Assistant Professor in Law, UCA, CNRS, GREDEG) Thierry.MARTEU@unice.fr Lapo Mola (Associate Professor, UCA, SKEMA Business School)

lapo.mola@skema.edu

Pierre Thérouanne (Assistant Professor in Psychology/ Ergonomics, UCA, LAPCOS) pierre.therouanne@unice.fr

Partners

http://univ-cotedazur.fr/en

master-digit-iot@univ-cotedazur.fr

Master of Science (MSc) HIGH PERFORMANCE COMPUTING AND DATA SCIENCES

Master of Science (MSc)

HIGH PERFORMANCE COMPUTING AND DATA SCIENCES

Objectives You will study in a joint program with the Ecole des Mines de Paris - PSL and the Université Côte d’Azur. Ecole des Mines de Paris – PSL is one of the best engineering schools in France, with an international reputation for excellence in education and research in HPC for industrial problems. Université Côte d’Azur and its Center of Modeling, Simulation and Interactions (MSI) promotes large-scale observation and in silico experimentation, such as the acquisition, processing and display of very big data, using conceptual approaches common to the research activities of all the Academies of Excellence. This M.Sc. program provides students with strong foundations in the fields of High Performance Computing with Data Sciences for advanced simulations. It includes an in-depth understanding of parallel programming, modeling, simulation and analysis of intensive data. Graduates will be prepared to pursue an exciting career in the fast-growing fields of HPC and Data Sciences.

This M.Sc. program focuses on advanced education and the practice of HPC and data-driven applications. It provides students with an in-depth understanding of parallel programming, modeling, simulation and analysis of intensive data. Graduates will be prepared to pursue an exciting career in the fast-growing fields of HPC and Data Sciences.

Program Programming skills: - Software engineering for scientific computing - Object-oriented programming

Parallel algorithms and programming: - Domain decomposition methods - Mesh and graph partitioning - Load balancing

Numerical methods for scientific computing: - Approximation, interpolation and integration of PDEs - Linear algebra - Optimization and operational research - Hierarchical and adaptive algorithms

Mathematical modeling: - Discrete systems (molecular dynamics, N-body, etc.) - Continuous systems (ODE and PDE) - Optimization and inverse problems - Stochastic and statistical methods

HPC architectures: - Hardware technologies - Supercomputing environments - Cloud computing Fundamentals of data storage, analysis, and visualization: - Signal processing and statistics - Techniques and tools for data analysis (Hadoop, Spark) - Techniques and tools for massive data visualization

IT project management: - HPC society (history, impacts, challenges, etc.) - IT project management - Intellectual property - Data ethics

Future careers The future graduates of this M.Sc. will be experts in HPC for a wide variety of careers in science, engineering, industry and software development. Thanks to their dual skills in applied mathematics and computer science, their roles will be crucial to accelerate the movement towards the industry of the future. Graduates will prepared be for employment in both industrial and academic fields, for example as numerical analysts, statisticians or computer experts, specializing in calculation and simulation.

Master of Science (MSc) High Performance Computing and Data SciencesÂ Admission - Must hold a qualification equivalent to three or four years of higher education, such as a Licence degree (three years), a Master I degree (four years), an American B.Sc. (four years) or an equivalent degree. - Selection is based on your application (previous studies, grades, professional experience, achievement and motivation) and an interview. - Students applying to this program must give proof of proficiency in English (oral and written).

Partners

Contacts Elie Hachem Youssef Mesri www.univ-cotedazur.fr

master-hpc@univ-cotedazur.fr

http://univ-cotedazur.fr/en jedi-formation@univ-cotedazur.fr