DSC Program

Program for EIT Digital Master 2 DSC track

The DSC track consists of two semesters and allows you to earn 60 ECTS (European Credits Transfer System).

The first semester consists of core and optional courses. In addition, each student must complete a Personal  Research and Development Project in either one of the local partner institutions (CNRS I3S, CNRS LJAD or INRIA), or by our industrial partners (Orange Labs, SAP research labs, Amadeus, ..., or by the Sohia-Antipolis SMEs ecosystem)  for a total of 6 ECTS credits. Subjects are proposed to students during October, so that the project can also start early: 3 half days per week, plus a two weeks full-time  period (between Period 1 and 2; followed by full freed one  at the end of the Semester 1 before the project oral defense) are reserved for the project development.

Semester 1, October-February (30 ECTS)

Mandatory courses and project (6 + 6 ECTS)

The list of mandatory courses from the 2016-17 academic period is such that it is as close as possible to the Gestion Multimedia pour les Données Massives (Data Science - Science des Données) track of the Master 2 IFI / Master 2 SSTIM / 5th year of study in Gestion Multimedia pour les Données Massives / SD of the applied mathematics and computer science departments of Polytech Nice-Sophia Antipolis engineering school. Mandatory courses are split in two periods (quarters), but constitutes a single module of 6 ECTS (within which all courses marks are averaged and if it is reaching an overall mark of 10 / 20, then the ECTS are gained).

 
Period 1 Mandatory courses 2017-18 ECTS
Panorama of Big Data technologies 2 ECTS
Compression, analysis and visualization of multimedia content 2 ECTS
Period 2 Mandatory courses 2017-18 ECTS
Analysis and indexation of images and videos in big data systems (from shallow to deep learning) 2 ECTS

Project Fin d'Etudes (6 ECTS)

Project Fin d'Etudes ECTS
French as a Foreign Language 0 ECTS
Personal research and/or development project in Data Science (examples of subjects, GMD/Web sections) 6 ECTS

Optional courses (12 ECTS)

Optional courses list from 2017-18 ECTS
Variable detection and multiple testing (Period 2) 4 ECTS
Re-sampling methods and Estimator selection (Period 1) 4 ECTS
CART and random forests for high-dimensional data (Period 1 and 2) 4 ECTS
Middleware for the Internet of Things (Period 2) 2 ECTS
Data Science industrial seminars (IBM, Amadeus taught course, CECAZ on  Big Data and Analytics, and some Jupyter notebook for Kaggle labs/projects) 2 ECTS
Panorama of Data mining and machine learning techniques 2 ECTS
Management of multimedia (streamed) data (Period 2) 2 ECTS
Web of Data (Period 1) 2 ECTS
Semantic Web (Period 2) 2 ECTS
Sécurité des applications web (Period 1, in French) 2 ECTS
From bit torrent to privacy (Period 2) 2 ECTS
Peer to Peer (Period 1) 2 ECTS
Virtualized infrastructure for cloud computing (Period 2) 2 ECTS
Large Scale Distributed Systems (Period 2) 2 ECTS
Knowledge Engineering (Period 1) 2 ECTS
Advanced image processing (Period 1) 2 ECTS
Réalité virtuelle (Period 2, in French) 2 ECTS
Interagir dans un monde 3D (Period 1, in French) 2 ECTS
Ingénierie 3D (Period 1, in French) 2 ECTS

Innovation and Entrepreunership module (6 ECTS)

Besides, the student must develop a mandatory Innovation and Entrepreneurship (I&E) work of 6 ECTS, as mandated by EIT Digital I&E common specification of masters. This work is coached by the UNS local coordinator in I&E and spans the whole October-February period. The goal is to reuse on-line I&E material from Sakai, common to all EIT Digital masters, and apply this to selected business cases. These business cases are most of the time proposed by the various EIT Digital Action Lines partners. More details here.
 

Program Modifications

French as a Foreign Language course could also be replaced by another course to learn another language if necessary. And is indeed optional from 2017-18. 


Semester 2, March-August (30 ECTS)

Internship

This internship can be done either in our partner research institutions teams at I3S, LJAD, INRIA even if for EIT Digital students, industrial internships are the preferred choice. We provide support and guidance to this aim. Including for outside the Nice - Sophia-Antipolis telecom valley ecosystem. The evaluation of the internship work encompasses three aspects: work achieved as measured by the internship supervisor, written thesis submitted at the end of August and evaluated by the university supervisor, oral defense organized early September (can happen in visio conference mode) and evaluated by a jury of professors, to which the supervisor is warmly invited to participate.