Master Data science

Language of instruction : English

MASTER DATA SCIENCE

Responsible

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

ADMISSION REQUIREMENTS

To be eligible, Candidates need

  • Bachelor's Degree (minimum 3 years of higher education) in a relevant field including undergraduate degrees in Statistics, Computer Science, Mathematics, Engineering and Physics;
  •  Strong foundations in Mathematics, Calculus (limits, derivatives, series, integrals, probability, statistics, etc.), Linear Algebra and Programming (e.g. R, Python, Java)
  • A certified B2 level in English. No requirement are needed in French as the program is fully taught in English. 

For the 18 months curriculum Master degree specifically, the candidates need:

  • A 4-years Bachelor’s Degree (minimum of 4 years of higher education) in Statistics, Computer Science, Mathematics, Engineering and Physics;
  • Demonstrable and strong foundations in Mathematics,  Database Management and Machine Learning, Calculus (limits, derivatives, series, integrals, probability, statistics, etc.), Linear Algebra and Programming (e.g. R, Python, Java)
  • Certified B2 level in English. No requirement are needed in French as the program is fully taught in English.

COURSE DESCRIPTION

Students need to validate a certain amount of credits per Teaching Unit each semester. The curriculum offers great flexibility by offering many electrive courses. Please consult the Academic Schedule and the Frequently Asked Questions for more Information about the schedule organisation.

See the video presentation of the Master here

SEMESTER 7 (30 ECTS)  - September – February

Basics in data science Unit ECTS: 15.00
T Clouds Distributed Systems and Cloud Computing ECTS: 5.00, Weight: 5.00
T DBSys Database Management System Implementation ECTS: 5.00, Weight: 5.00
T MALIS Machine Learning and Intelligent System ECTS: 5.00, Weight: 5.00
Opening Unit ECTS: 5.00
T ATWireless Advanced topics in wireless communications ECTS: 5.00, Weight: 5.00
T AwaRe Awareness-raising to research ECTS: 1.50, Weight: 1.50
T BigSec Security and privacy for Big Data and Cloud ECTS: 2.50, Weight: 2.50
T CompArch Computer architecture ECTS: 5.00, Weight: 5.00
T DigiCom Digital communications ECTS: 5.00, Weight: 5.00
T EmSim Emulation and simulation methodologies ECTS: 2.50, Weight: 2.50
T ImCod Image & Video Compression ECTS: 2.50, Weight: 2.50
T ImProc Digital Image Processing ECTS: 2.50, Weight: 2.50
T InfoTheo Information theory ECTS: 5.00, Weight: 5.00
T MPC Multiparty Computation and Blockchains ECTS: 2.50, Weight: 2.50
T MathEng Essential Mathematical Methods for Engineers ECTS: 2.50, Weight: 2.50
T MobCom Mobile communication techniques ECTS: 5.00, Weight: 5.00
T MobMod Mobility Modeling ECTS: 2.50, Weight: 2.50
T MobServ Mobile application and services ECTS: 5.00, Weight: 5.00
T MobSys Mobile communication systems ECTS: 5.00, Weight: 5.00
T MobiSec Mobile Systems and Smartphone Security ECTS: 5.00, Weight: 5.00
T NetMod Network Modeling ECTS: 5.00, Weight: 5.00
T OS Operating systems ECTS: 5.00, Weight: 5.00
T Optim Optimization Theory with Applications ECTS: 2.50, Weight: 2.50
T QUANTIS Quantum Information Science ECTS: 2.50, Weight: 2.50
T SSP Statistical signal processing ECTS: 5.00, Weight: 5.00
T STATS Foundations of Statistical Inference ECTS: 2.50, Weight: 2.50
T SecCom Secure communications ECTS: 5.00, Weight: 5.00
T SoftDev Software development methodologies ECTS: 2.50, Weight: 2.50
T Stand Standardization activities ECTS: 2.50, Weight: 2.50
G StudInit Student Initiative ECTS: 1.00, Weight: 1.00
T SysSec System and Network Security ECTS: 5.00, Weight: 5.00
T UMLEmb Designing embedded systems with UML ECTS: 2.50, Weight: 2.50
T WebInt Interaction Design and Development of Modern Web Applications ECTS: 2.50, Weight: 2.50
Web Science and mathematical methods Unit ECTS: 5.00
T BigSec Security and privacy for Big Data and Cloud ECTS: 2.50, Weight: 2.50
T ImCod Image & Video Compression ECTS: 2.50, Weight: 2.50
T QUANTIS Quantum Information Science ECTS: 2.50, Weight: 2.50
T SoftDev Software development methodologies ECTS: 2.50, Weight: 2.50
T WebInt Interaction Design and Development of Modern Web Applications ECTS: 2.50, Weight: 2.50
Social and Human Sciences Unit ECTS: 4.00
G B_INNOV How to adopt the right posture and move from idea to market! ECTS: 4.00, Weight: 4.00
G CSE The challenges of a sustainable economy ECTS: 2.00, Weight: 2.00
G ManagIntro Introduction to management ECTS: 4.00, Weight: 4.00
G Property Intellectual property law ECTS: 2.00, Weight: 2.50
G RDI Responsible Digital Innovation: Risks, Ethics and Technology ECTS: 2.00, Weight: 2.00
G TeamLead Personal Development and Team Leadership ECTS: 4.00, Weight: 4.00

Language Unit ECTS: 1.00

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

SEMESTER 8 (30 ECTS)  - March – June

Advanced in Machine Learning Unit ECTS: 10.00
T AML Algorithmic Machine Learning ECTS: 2.50, Weight: 2.50
T ASI Advanced Statistical Inference ECTS: 5.00, Weight: 5.00
T DeepLearning Deep Learning ECTS: 2.50, Weight: 2.50
Applications in Data Science Unit ECTS: 10.00
T 3DGraph 3-D and virtual imaging (analysis and synthesis) ECTS: 5.00, Weight: 5.00
T APPIOT Iot Application Protocols ECTS: 2.50, Weight: 2.50
T Forensics Cyber-crime and Computer Forensics ECTS: 5.00, Weight: 5.00
T FormalMet FormalMethods-Formal specification and verification of systems ECTS: 2.50, Weight: 2.50
T ImSecu Imaging Security ECTS: 2.50, Weight: 2.50
T MALCOM Machine Learning for Communication systems ECTS: 5.00, Weight: 5.00
T Speech Speech and audio processing ECTS: 2.50, Weight: 2.50
T WebSem Semantic Web and Information Extraction technologies ECTS: 2.50, Weight: 2.50
Opening Unit ECTS: 5.00
T 3DGraph 3-D and virtual imaging (analysis and synthesis) ECTS: 5.00, Weight: 5.00
T APPIOT Iot Application Protocols ECTS: 2.50, Weight: 2.50
T AwaRes Awareness-raising to research ECTS: 1.50, Weight: 1.50
T CompMeth Computational Methods for digital communications ECTS: 5.00, Weight: 5.00
T DigitalSystems Digital systems, hardware - software integration ECTS: 5.00, Weight: 5.00
T Forensics Cyber-crime and Computer Forensics ECTS: 5.00, Weight: 5.00
T FormalMet FormalMethods-Formal specification and verification of systems ECTS: 2.50, Weight: 2.50
T HWSec Hardware Security ECTS: 2.50, Weight: 2.50
T ImSecu Imaging Security ECTS: 2.50, Weight: 2.50
T MALCOM Machine Learning for Communication systems ECTS: 5.00, Weight: 5.00
T MobWat Wireless Access Technologies ECTS: 2.50, Weight: 2.50
T NetSoft Network Softwerization ECTS: 2.50, Weight: 2.50
T PlanTP Transportation Planning ECTS: 2.50, Weight: 2.50
T ProtIOT Iot Communication Protocols ECTS: 2.50, Weight: 2.50
T Radio Radio engineering ECTS: 5.00, Weight: 5.00
T ResProj Projet de recherche ECTS: 5.00, Weight: 5.00
T SP4COM Signal Processing for Communications ECTS: 5.00, Weight: 5.00
T Speech Speech and audio processing ECTS: 2.50, Weight: 2.50
G StudInit Student Initiative ECTS: 1.00, Weight: 1.00
T TraffEEc Emission and Traffic Efficiency ECTS: 2.50, Weight: 2.50
T WebSem Semantic Web and Information Extraction technologies ECTS: 2.50, Weight: 2.50
T WiSec Wireless Security ECTS: 2.50, Weight: 2.50
Social and Human Sciences Unit ECTS: 4.00
G Business Business Simulation ECTS: 4.00, Weight: 4.00
G Law Introduction générale au droit : les contrats et la création de société ECTS: 2.00, Weight: 2.00
G ProjMan Project management ECTS: 4.00, Weight: 4.00
G SATT Sociological Approaches of Telecom Technologies ECTS: 2.00, Weight: 2.00
G TeamLead Personal Development and Team Leadership ECTS: 4.00, Weight: 4.00

Language Unit ECTS: 1.00

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

SEMESTER 9 (30 ECTS)  - September – February

Applications Unit ECTS: 10.00
T ImProc Digital Image Processing ECTS: 2.50, Weight: 2.50
T InfoTheo Information theory ECTS: 5.00, Weight: 5.00
T MPC Multiparty Computation and Blockchains ECTS: 2.50, Weight: 2.50
T MobServ Mobile application and services ECTS: 5.00, Weight: 5.00
T Optim Optimization Theory with Applications ECTS: 2.50, Weight: 2.50
T STATS Foundations of Statistical Inference ECTS: 2.50, Weight: 2.50
T SysSec System and Network Security ECTS: 5.00, Weight: 5.00
Opening Unit ECTS: 5.00
T ATWireless Advanced topics in wireless communications ECTS: 5.00, Weight: 5.00
T BigSec Security and privacy for Big Data and Cloud ECTS: 2.50, Weight: 2.50
T CompArch Computer architecture ECTS: 5.00, Weight: 5.00
T DigiCom Digital communications ECTS: 5.00, Weight: 5.00
T EmSim Emulation and simulation methodologies ECTS: 2.50, Weight: 2.50
T ImCod Image & Video Compression ECTS: 2.50, Weight: 2.50
T ImProc Digital Image Processing ECTS: 2.50, Weight: 2.50
T InfoTheo Information theory ECTS: 5.00, Weight: 5.00
T MPC Multiparty Computation and Blockchains ECTS: 2.50, Weight: 2.50
T MathEng Essential Mathematical Methods for Engineers ECTS: 2.50, Weight: 2.50
T MobCom Mobile communication techniques ECTS: 5.00, Weight: 5.00
T MobMod Mobility Modeling ECTS: 2.50, Weight: 2.50
T MobServ Mobile application and services ECTS: 5.00, Weight: 5.00
T MobSys Mobile communication systems ECTS: 5.00, Weight: 5.00
T MobiSec Mobile Systems and Smartphone Security ECTS: 5.00, Weight: 5.00
T NetMod Network Modeling ECTS: 5.00, Weight: 5.00
T OS Operating systems ECTS: 5.00, Weight: 5.00
T Optim Optimization Theory with Applications ECTS: 2.50, Weight: 2.50
T QUANTIS Quantum Information Science ECTS: 2.50, Weight: 2.50
T SSP Statistical signal processing ECTS: 5.00, Weight: 5.00
T STATS Foundations of Statistical Inference ECTS: 2.50, Weight: 2.50
T SecCom Secure communications ECTS: 5.00, Weight: 5.00
T SoftDev Software development methodologies ECTS: 2.50, Weight: 2.50
T Stand Standardization activities ECTS: 2.50, Weight: 2.50
G StudInit Student Initiative ECTS: 1.00, Weight: 1.00
T SysSec System and Network Security ECTS: 5.00, Weight: 5.00
T UMLEmb Designing embedded systems with UML ECTS: 2.50, Weight: 2.50
T WebInt Interaction Design and Development of Modern Web Applications ECTS: 2.50, Weight: 2.50
Social and Human Sciences Unit ECTS: 4.00
G B_INNOV How to adopt the right posture and move from idea to market! ECTS: 4.00, Weight: 4.00
G CSE The challenges of a sustainable economy ECTS: 2.00, Weight: 2.00
G ManagIntro Introduction to management ECTS: 4.00, Weight: 4.00
G Property Intellectual property law ECTS: 2.00, Weight: 2.00
G RDI Responsible Digital Innovation: Risks, Ethics and Technology ECTS: 2.00, Weight: 2.00
G TeamLead Personal Development and Team Leadership ECTS: 4.00, Weight: 4.00

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 10 (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.