MSc Computer Science, Data Science track _ DD 18 months

Language of Teaching: English 


MASTER DATA SCIENCE

Responsible

TRONCY Raphaël

The "Big Data" phenomenon is rooted in the field of data science and engineering, which aims at developing both computer and mathematical tools for data storage,processing and analytics. An increasing volume of data is daily produced by modern day industrial processes (in fields such as energy, intelligent transport systems, health, tourism and many others...), and fuelled by the rise of multimedia content being shared and the Internet of Things in our daily life. Artificial Intelligence is now empowering applications which requires large scale and smart processing of data to build accurate predictive models. Key Words: Big Data, Data Science, Machine Learning, Data Mining, Deep Learning, Business Intelligence, Web Science, Artificial Intelligence

OBJECTIVES:

  •  Combine computer and statistical sciences to develop cutting-edge and fundamental tools to efficiently address data processing problems 
  • Learn how to develop methods, algorithms and software capable to extract knowledge and insights out of huge masses of heterogonous data with several dimensions.
  • Provide a cohesive blend of technical classes in machine learning, data mining, information extraction and distributed systems coupled with fundamentals in Business, Innovation and Project Management to develop profiles which are highly valued by corporate

EURECOM is proud to have signed a double degree agreement with prestigious universities.

Double Degree students have the opportunity to study at EURECOM for their last year of Master  in one of the 2 specialties (Data Science and Engineering or Digital Securiry) of our master degree in Computer Science. 

A special program has been set with a wider choice of courses for the Double degree at EURECOM: after 2 semester of courses and their master thesis at EURECOM, these students will be awarded with the 2 diplomas: The master degree of EURECOM and the corresponding Master of Science of their home university.

Applicants are also invited to consult the FAQ section of the website.

COURSE DESCRIPTION

Students need to validate a certain amount of credits per Teaching Unit each semester. Please consult the Academic Schedule and the Frequently Asked Questions for more Information about the schedule organisation.

The Master obtained the SecNumedu certification by the National Cybersecurity Agency of France (ANSSI) and the 3IA Label.

See the video presentation of the Master here.

SEMESTER 7-FALL (30 ECTS)  - September – February

Basics in Data Science and Machine Learning Unit ECTS: 10.00
Min sum of Weight: 1.00
T Clouds Distributed Systems and Cloud Computing Weight: 0.50
T DBSys Database Management System Implementation Weight: 0.50
T MALIS Machine Learning and Intelligent System Weight: 0.50
Computer Science for systems Unit ECTS: 5.00
Min sum of Weight: 1.00
T ImCod Image & Video Compression Weight: 0.50
T ImProc Digital Image Processing Weight: 0.50
T QUANTIS Quantum Information Science Weight: 0.50
T SoftDev Software development methodologies Weight: 0.50
T WebSem Semantic Web and Information Extraction Technologies Weight: 0.50
Humanities and social sciences 1 Unit ECTS: 4.00
Min sum of Weight: 1.00
G B_INNOV DARE TO INNOVATE! HOW TO ADOPT THE RIGHT POSTURE AND MOVE FROM IDEA TO MARKET! Weight: 1.00
G CSE The challenges of a sustainable economy Weight: 0.50
G ManagIntro Introduction to management Weight: 1.00
G Property Intellectual property law Weight: 0.50
G RDI Responsible Research and Innovation: Health, Environment, Ethics and Technology Weight: 0.50
G TeamLead Personal Development and Team Leadership Weight: 1.00
Long scientific and technical opening1 Unit ECTS: 10.00
Min sum of Weight: 1.00
T ATWireless Advanced topics in wireless communications Weight: 0.50
T AwaRe Awareness-raising to research Weight: 0.25
T BigSec Security and privacy for Big Data and Cloud Weight: 0.25
G CitiCom Engagement citoyen Weight: 0.50
T Clouds Distributed Systems and Cloud Computing Weight: 0.50
T CompArch Computer architecture Weight: 0.50
T DBSys Database Management System Implementation Weight: 0.50
T DigiCom Digital communications Weight: 0.50
T EmSim Emulation and simulation methodologies Weight: 0.25
T ImCod Image & Video Compression Weight: 0.25
T ImProc Digital Image Processing Weight: 0.25
T InfoTheo_2 Advanced Topics In Information Theory Weight: 0.25
T MALIS Machine Learning and Intelligent System Weight: 0.50
T MPC Multiparty Computation and Blockchains Weight: 0.25
T MathEng Essential Mathematical Methods for Engineers Weight: 0.25
T MobCom Mobile communication techniques Weight: 0.50
T MobMod Mobility Modeling Weight: 0.25
T MobServ Mobile application and services Weight: 0.50
T MobSys Mobile communication systems Weight: 0.50
T MobiSec Mobile Systems and Smartphone Security Weight: 0.50
T OS Operating systems Weight: 0.50
T Optim Optimization Theory with Applications Weight: 0.25
T QUANTIS Quantum Information Science Weight: 0.25
T SSP Statistical signal processing Weight: 0.50
T SecCom Secure communications Weight: 0.50
T SoftDev Software development methodologies Weight: 0.25
T Stand Standardization activities Weight: 0.25
G StudCom Engagement étudiant! Weight: 0.20
G StudInit Student Initiative Weight: 0.50
T SysSec System and Network Security Weight: 0.50
T UMLEmb Designing embedded systems with UML Weight: 0.25
T WebSem Semantic Web and Information Extraction Technologies Weight: 0.25
Language Unit ECTS: 1.00

(French, or another language if the student is already fluent in French)

SEMESTER 8 - SPRING  (30 ECTS)  - March - June

Advanced in Machine Learning Unit ECTS: 10.00
Min sum of Weight: 1.00
T AML Algorithmic Machine Learning Weight: 0.25
T ASI Advanced Statistical Inference Weight: 0.50
T DeepLearning Deep Learning Weight: 0.25
Humanities and social sciences 2 Unit ECTS: 4.00
Min sum of Weight: 1.00
G Business Business Simulation Weight: 1.00
G Law General introduction to law : contracts, setting up a business Weight: 0.50
G ProjMan Project management Weight: 1.00
G SATT Sociological Approaches of Telecom Technologies Weight: 0.50
G TeamLead Personal Development and Team Leadership Weight: 1.00
G WebStra Web strategy and organizational Performance Weight: 0.50
Scientific and technical opening 2 Unit ECTS: 5.00
Min sum of Weight: 1.00
T 3DGraph 3-D and virtual imaging (analysis and synthesis) Weight: 1.00
T APPIOT Iot Application Protocols Weight: 0.50
T AwaRe Awareness-raising to research Weight: 0.50
G CitiCom Citizen Commitment Weight: 0.50
T CompMeth Computational Methods for digital communications Weight: 1.00
T DigitalSystems Digital systems, hardware - software integration Weight: 1.00
T Forensics Cyber-crime and Computer Forensics Weight: 1.00
T FormalMet FormalMethods-Formal specification and verification of systems Weight: 0.50
T HWSec Hardware Security Weight: 0.50
T ImSecu Imaging Security Weight: 0.50
T InfoTheo_1 Information Theory 1 Weight: 1.00
T IntroStat Introduction to statistics Weight: 0.50
T MALCOM Machine Learning for Communication systems Weight: 1.00
T MobAdv Mobile Advanced Networks Weight: 0.50
T MobWat Wireless Access Technologies Weight: 0.50
T Netsoft NetWork Softwerization Weight: 0.50
T PlanTP Transportation Planning Weight: 0.50
T ProtIOT Iot Communication Protocols Weight: 0.50
T Radio Radio engineering Weight: 1.00
T ReLearn Basics on reinforcement learning Weight: 0.50
T SP4COM Signal Processing for Communications Weight: 1.00
T Speech Speech and audio processing Weight: 0.50
G StudCom Student Commitment Weight: 0.20
G StudInit Student Initiative Weight: 0.50
T TraffEEc Emission and Traffic Efficiency Weight: 0.50
T WebInt Interaction Design and Development of Modern Web Applications Weight: 0.50
T WiSec Wireless Security Weight: 0.50
Language Unit ECTS: 1.00

(French, or another language if the student is already fluent in French)

Semester Project Unit ECTS: 10.00

Supervised Semester Projects are based on real-case studies of industrial relevance. They combine a blend of theoretical and practical work (developing new prototypes and tools, testing new technologies, assessing current systems and solutions…). Students can work individually or in group of 2/3. The expected workload is 200 hours of individual work per semester. A defense is organized at the end. Projects provide students with hands-on skills by allowing them to put concepts into practice. (200h)

SEMESTER 9 - SPRING  (30 ECTS)  - March  - August

RESEARCH / INDUSTRIAL INTERNSHIP (Paid) Unit ECTS: 30.00

The internship is to be carried out in a company or lab in France or abroad. It allows students to get a hands-on experience and ease their entry into the job market. Students work on a research/development project under the supervision of a professor and an industrial mentor. Students are integrated as part of the staff and receive a monthly allowance, the amount of the allowance depends on the company and position. EURECOM helps students find an internship by providing an updated database of paid internship opportunities offered by companies.