Master's in Computer science, Data Science track
MSc Computer Science, Data Science track
Language of instruction : English
Language of instruction : English
MASTER DATA SCIENCE
ResponsableThe "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
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. Also, French classes will be compulsory during your stay at EURECOM, the obtention of a A2 certification being needed to obtain the degree.
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. Also, French classes will be compulsory during your stay at EURECOM, the obtention of a A2 certification being needed to obtain the degree.
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
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 - FALL (30 ECTS) - September – February
Computer Science for systems Unit ECTS: 5.00
Min sum of Weight: 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 Data Science and Machine Learning Unit ECTS: 15.00
Min sum of Weight: T Clouds Distributed Systems and Cloud Computing Weight: 0.34 T DBSys Database Management System Implementation Weight: 0.34 T MALIS Machine Learning and Intelligent System Weight: 0.34 Humanities and social sciences 1 Unit ECTS: 4.00
Min sum of Weight: 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 ResRI Responsible Research and Innovation Weight: 0.50 G TeamLead Personal Development and Team Leadership Weight: 1.00 Scientific and technical opening1 Unit ECTS: 5.00
Min sum of Weight: T ATWireless Advanced topics in wireless communications Weight: 1.00 T AwaRe Awareness-raising to research Weight: 0.50 G CitiCom Engagement citoyen Weight: 0.50 T CompArch Computer architecture Weight: 1.00 T DigiCom Digital communications Weight: 1.00 T EmSim Emulation and simulation methodologies Weight: 0.50 T ImCod Image & Video Compression Weight: 0.50 T ImProc Digital Image Processing Weight: 0.50 T InfoTheo_2 Advanced Topics In Information Theory Weight: 0.50 T MathEng Essential Mathematical Methods for Engineers Weight: 0.50 T MobCom Mobile communication techniques Weight: 1.00 T MobMod Mobility Modeling Weight: 0.50 T MobSys Mobile communication systems Weight: 1.00 T MobiSec Mobile Systems and Smartphone Security Weight: 1.00 T OS Operating systems Weight: 1.00 T Optim Optimization Theory with Applications Weight: 0.50 T QUANTIS Quantum Information Science Weight: 0.50 T SSP Statistical signal processing Weight: 1.00 T SecCom Secure communications Weight: 1.00 T SoftDev Software development methodologies Weight: 0.50 T Stand Standardization activities Weight: 0.50 G StudCom Engagement étudiant! Weight: 0.20 G StudInit Student Initiative Weight: 0.50 T SysSec System and Network Security Weight: 1.00 T UMLEmb Designing embedded systems with UML Weight: 0.50 T WebSem Semantic Web and Information Extraction Technologies Weight: 0.50
Language Unit ECTS: 1.00 (French, or another language if the student is already fluent in French)
| Computer Science for systems | Unit ECTS: 5.00 Min sum of Weight: | ||
| 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 |
| Data Science and Machine Learning | Unit ECTS: 15.00 Min sum of Weight: | ||
| T | Clouds | Distributed Systems and Cloud Computing | Weight: 0.34 |
| T | DBSys | Database Management System Implementation | Weight: 0.34 |
| T | MALIS | Machine Learning and Intelligent System | Weight: 0.34 |
| Humanities and social sciences 1 | Unit ECTS: 4.00 Min sum of Weight: | ||
| 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 | ResRI | Responsible Research and Innovation | Weight: 0.50 |
| G | TeamLead | Personal Development and Team Leadership | Weight: 1.00 |
| Scientific and technical opening1 | Unit ECTS: 5.00 Min sum of Weight: | ||
| T | ATWireless | Advanced topics in wireless communications | Weight: 1.00 |
| T | AwaRe | Awareness-raising to research | Weight: 0.50 |
| G | CitiCom | Engagement citoyen | Weight: 0.50 |
| T | CompArch | Computer architecture | Weight: 1.00 |
| T | DigiCom | Digital communications | Weight: 1.00 |
| T | EmSim | Emulation and simulation methodologies | Weight: 0.50 |
| T | ImCod | Image & Video Compression | Weight: 0.50 |
| T | ImProc | Digital Image Processing | Weight: 0.50 |
| T | InfoTheo_2 | Advanced Topics In Information Theory | Weight: 0.50 |
| T | MathEng | Essential Mathematical Methods for Engineers | Weight: 0.50 |
| T | MobCom | Mobile communication techniques | Weight: 1.00 |
| T | MobMod | Mobility Modeling | Weight: 0.50 |
| T | MobSys | Mobile communication systems | Weight: 1.00 |
| T | MobiSec | Mobile Systems and Smartphone Security | Weight: 1.00 |
| T | OS | Operating systems | Weight: 1.00 |
| T | Optim | Optimization Theory with Applications | Weight: 0.50 |
| T | QUANTIS | Quantum Information Science | Weight: 0.50 |
| T | SSP | Statistical signal processing | Weight: 1.00 |
| T | SecCom | Secure communications | Weight: 1.00 |
| T | SoftDev | Software development methodologies | Weight: 0.50 |
| T | Stand | Standardization activities | Weight: 0.50 |
| G | StudCom | Engagement étudiant! | Weight: 0.20 |
| G | StudInit | Student Initiative | Weight: 0.50 |
| T | SysSec | System and Network Security | Weight: 1.00 |
| T | UMLEmb | Designing embedded systems with UML | Weight: 0.50 |
| T | WebSem | Semantic Web and Information Extraction Technologies | Weight: 0.50 |
| 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: 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: 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 Mathematical Tools and Web Science Unit ECTS: 10.00
Min sum of Weight: T APPIOT Iot Application Protocols Weight: N/A T FormalMet FormalMethods-Formal specification and verification of systems Weight: 0.25 T ImSecu Imaging Security Weight: 0.25 T IntroStat Introduction to statistics Weight: 0.25 T ProtIOT Iot Communication Protocols Weight: 0.25 T Speech Speech and audio processing Weight: 0.25 T WebInt Interaction Design and Development of Modern Web Applications Weight: 0.25 Scientific and technical opening 2 Unit ECTS: 5.00
Min sum of Weight: 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 MobiCore Next generation Mobile Core Network 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 ResProj Projet de recherche Weight: 1.00 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)
| Advanced in Machine Learning | Unit ECTS: 10.00 Min sum of Weight: | ||
| 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: | ||
| 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 |
| Mathematical Tools and Web Science | Unit ECTS: 10.00 Min sum of Weight: | ||
| T | APPIOT | Iot Application Protocols | Weight: N/A |
| T | FormalMet | FormalMethods-Formal specification and verification of systems | Weight: 0.25 |
| T | ImSecu | Imaging Security | Weight: 0.25 |
| T | IntroStat | Introduction to statistics | Weight: 0.25 |
| T | ProtIOT | Iot Communication Protocols | Weight: 0.25 |
| T | Speech | Speech and audio processing | Weight: 0.25 |
| T | WebInt | Interaction Design and Development of Modern Web Applications | Weight: 0.25 |
| Scientific and technical opening 2 | Unit ECTS: 5.00 Min sum of Weight: | ||
| 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 | MobiCore | Next generation Mobile Core Network | 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 | ResProj | Projet de recherche | Weight: 1.00 |
| 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 9 - FALL (30 ECTS) - September – February
Applications in data science Unit ECTS: 5.00
Min sum of Weight: T ImCod Image & Video Compression Weight: 0.50 T ImProc Digital Image Processing Weight: 0.50 T SysSec System and Network Security Weight: 1.00 Clouds, Cryptography and AI Unit ECTS: 5.00
Min sum of Weight: T Clouds Distributed Systems and Cloud Computing Weight: 1.00 T Optim Optimization Theory with Applications Weight: 0.50 T QUANTIS Quantum Information Science Weight: 0.50 T SecCom Secure communications Weight: 1.00 T WebSem Semantic Web and Information Extraction Technologies Weight: 0.50 Humanities and social Sciences 3 Unit ECTS: 4.00
Min sum of Weight: 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 ResRI Responsible Research and Innovation Weight: 0.50 G TeamLead Personal Development and Team Leadership Weight: 1.00 Scientific and technical opening 3 Unit ECTS: 5.00
Min sum of Weight: T ATWireless Advanced topics in wireless communications Weight: 1.00 T AwaRe Awareness-raising to research Weight: 0.50 G CitiCom Engagement citoyen Weight: 0.50 T CompArch Computer architecture Weight: 1.00 T DigiCom Digital communications Weight: 1.00 T EmSim Emulation and simulation methodologies Weight: 0.50 T ImCod Image & Video Compression Weight: 0.50 T ImProc Digital Image Processing Weight: 0.50 T InfoTheo_2 Advanced Topics In Information Theory Weight: 0.50 T MathEng Essential Mathematical Methods for Engineers Weight: 0.50 T MobCom Mobile communication techniques Weight: 1.00 T MobMod Mobility Modeling Weight: 0.50 T MobSys Mobile communication systems Weight: 1.00 T MobiSec Mobile Systems and Smartphone Security Weight: 1.00 T OS Operating systems Weight: 1.00 T Optim Optimization Theory with Applications Weight: 0.50 T QUANTIS Quantum Information Science Weight: 0.50 T SSP Statistical signal processing Weight: 1.00 T SecCom Secure communications Weight: 1.00 T SoftDev Software development methodologies Weight: 0.50 T Stand Standardization activities Weight: 0.50 G StudCom Engagement étudiant! Weight: 0.20 G StudInit Student Initiative Weight: 0.50 T SysSec System and Network Security Weight: 1.00 T UMLEmb Designing embedded systems with UML Weight: 0.50 T WebSem Semantic Web and Information Extraction Technologies 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)
| Applications in data science | Unit ECTS: 5.00 Min sum of Weight: | ||
| T | ImCod | Image & Video Compression | Weight: 0.50 |
| T | ImProc | Digital Image Processing | Weight: 0.50 |
| T | SysSec | System and Network Security | Weight: 1.00 |
| Clouds, Cryptography and AI | Unit ECTS: 5.00 Min sum of Weight: | ||
| T | Clouds | Distributed Systems and Cloud Computing | Weight: 1.00 |
| T | Optim | Optimization Theory with Applications | Weight: 0.50 |
| T | QUANTIS | Quantum Information Science | Weight: 0.50 |
| T | SecCom | Secure communications | Weight: 1.00 |
| T | WebSem | Semantic Web and Information Extraction Technologies | Weight: 0.50 |
| Humanities and social Sciences 3 | Unit ECTS: 4.00 Min sum of Weight: | ||
| 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 | ResRI | Responsible Research and Innovation | Weight: 0.50 |
| G | TeamLead | Personal Development and Team Leadership | Weight: 1.00 |
| Scientific and technical opening 3 | Unit ECTS: 5.00 Min sum of Weight: | ||
| T | ATWireless | Advanced topics in wireless communications | Weight: 1.00 |
| T | AwaRe | Awareness-raising to research | Weight: 0.50 |
| G | CitiCom | Engagement citoyen | Weight: 0.50 |
| T | CompArch | Computer architecture | Weight: 1.00 |
| T | DigiCom | Digital communications | Weight: 1.00 |
| T | EmSim | Emulation and simulation methodologies | Weight: 0.50 |
| T | ImCod | Image & Video Compression | Weight: 0.50 |
| T | ImProc | Digital Image Processing | Weight: 0.50 |
| T | InfoTheo_2 | Advanced Topics In Information Theory | Weight: 0.50 |
| T | MathEng | Essential Mathematical Methods for Engineers | Weight: 0.50 |
| T | MobCom | Mobile communication techniques | Weight: 1.00 |
| T | MobMod | Mobility Modeling | Weight: 0.50 |
| T | MobSys | Mobile communication systems | Weight: 1.00 |
| T | MobiSec | Mobile Systems and Smartphone Security | Weight: 1.00 |
| T | OS | Operating systems | Weight: 1.00 |
| T | Optim | Optimization Theory with Applications | Weight: 0.50 |
| T | QUANTIS | Quantum Information Science | Weight: 0.50 |
| T | SSP | Statistical signal processing | Weight: 1.00 |
| T | SecCom | Secure communications | Weight: 1.00 |
| T | SoftDev | Software development methodologies | Weight: 0.50 |
| T | Stand | Standardization activities | Weight: 0.50 |
| G | StudCom | Engagement étudiant! | Weight: 0.20 |
| G | StudInit | Student Initiative | Weight: 0.50 |
| T | SysSec | System and Network Security | Weight: 1.00 |
| T | UMLEmb | Designing embedded systems with UML | Weight: 0.50 |
| T | WebSem | Semantic Web and Information Extraction Technologies | 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 10 - 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.
| 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. | |||||||||||

PG
24 Months