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 4 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 (12 ECTS)
The list of mandatory courses for the 2016-17 academic period is such that it is as close as possible to the Gestion Multimedia pour les Données Massives (Data Science) track of the Master 2 IFI / Master 2 SSTIM / 5th year of study in Gestion Multimedia pour les Données Massives 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 12 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 2016-17 | ECTS |
|---|---|
| Panorama of Big Data technologies | 2 ECTS |
| Compression, analysis and visualization of multimedia content | 2 ECTS |
| Data Science (mainly IBM taught course on IBM Big Data and Analytics technologies) | 2 ECTS |
| Period 2 Mandatory courses 2016-17 | ECTS |
|---|---|
| Panorama of Data mining and machine learning techniques | 2 ECTS |
| Analysis and indexation of images and videos in big data systems (from shallow to deep learning) | 2 ECTS |
| Management of multimedia (streamed) data | 2 ECTS |
Project Fin d'Etudes (6 ECTS)
| Project Fin d'Etudes 2016-17 | ECTS |
|---|---|
| French as a Foreign Language | 2 ECTS |
| Personal research and/or development project in Data Science (examples of subjects, GMD/Web sections) | 4 ECTS |
Optional courses (6 ECTS)
| Optional courses list | 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 |
| 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 |
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
As course lists can be adapted each year, the courses that are going to be offered to students in 2017-18 is expected to be somewhat different.The expected list of mandatory courses in 2017-18 may encompass Variable Detection and multiple testing, or Re-sampling methods and Estimator selection or even CART for high dimensional data as a replacement of the some of the mandatory courses. And the French as a Foreign Language course could also become optional. Meaning, the options module could rise to 8 ECTS. Visit this site regularily to get some update.
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.