Program
EIT Digital Data Science 1st Year Master Program
The Master 1 year consists of two semesters and allows you to earn (at least) 60 ECTS (European Credits Transfer System). Each semester provides 30 ECTS. The year average mark / result is only done on the modules (blocks) in each semester that account for the per-semester 30 ECTS.
Each student must accomplish the requested Innovation and Entrepreneurship (I&E) courses and summer school that the EIT label mandates. The total is 24 ECTS, out of the 60 ECTS of the whole year. When a module encompasses more than one course, the average mark of the courses in the module must be >=10 over 20, in order to collect the corresponding ECTS at the module level.
To this aim, the course modules listed below, and the mandatory summer school that the Master School Office organizes centrally will allow you to earn the 60 ECTS that you need.
To allow the maximum of flexibility in order to accomodate strong differences between students background (e.g. Bachelor in Statistics compared to Bachelor in Computer Science/Engineering), we have a quite long list of electives. Personal guidance is provided to help students make their choice at the begining of the first semester.
Precise time schedule will be gradually published, at edt.polytech.unice.fr/1/invite, in Promotions/Emploi du Temps/Année, choose Master 1 EIT DIGITAL, then click week per week to see slots and rooms. All courses are in the Campus SophiaTech, Polytech Nice Sophia (PNS) buildings (Est E, or Ouest O buildings). Christmas break starts the Friday 20th of december 2019, and the semester resumes on the Monday 6th of January. If possible, we try not to put you exams on these Friday and Monday, and if possible, also no course. But we cannot garantee that. A welcome day organized by the Graduate school DS4H you belong to is scheduled on Sept. 13th whole day on campus + extra evening event in Nice. An other welcome meeting specific to EIT Digital is also going to be scheduled. An informal meeting with the head of the master is to happen probably the Sept 4th afternoon at Polytech for those that start the refresher in Maths/Stats course on the next day; a second one can be scheduled if needed later the next week. Most probably on the Wednesday 11th. Some general level information pertaining to the Polytech Engineering school can be consulted here.
1st Year Master Program (for 2019_20 onwards)
Semester 1 technical major courses
Name of the Module (block) | Total number of ECTS |
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Data science 1 | 6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Elective courses From Polytech offer, that could be selected without time schedule conflicts (19-20 acad. year) for a total of at least: | 9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Elective courses From Master in Computer Science offer, that could be selected. Beta information about time schedule. Exams happen just after Christmas break. Choose two courses at least, for a total of at least: | 6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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* consult the "M2 EIT Digital DSC Alumni" section to have the list of topics chosen by former students that decided to develop a project
Semester 2 technical major courses
Name of the Module (block) | Total number of ECTS | |||||||||||||||||||||||
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Data science 2 | 9 | |||||||||||||||||||||||
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Elective courses From Polytech offer, that could be selected without time schedule conflicts (19-20 acad. year) for a total of at least: | 3 | |||||||||||||||||||||||
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Elective courses From Master in Computer Science offer, that could be selected without time schedule conflicts (19-20 acad. year) for a total of at least: | 3 | |||||||||||||||||||||||
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I&E Minor courses
From 2019-20, minor courses are decomposed along the two semesters in the following blocks:
Semester 1:
I & E 1 | Total 9 ECTS |
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Basics in I&E (spread in the empty slots, till end of january/february) | 3 coeff |
Digital business (SKEMA Business course DS4H EUR shared), Thursday morning (Oct 17, 24; Nov 7, 14, 21, 28; Dec 5, 12) | 3 coeff |
Business Dev. Lab Part1 (spread in the empty slots, till end of january) | 3 coeff |
Semester 2:
I & E 2 | Total 6 ECTS |
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Entrepreunership (SKEMA Business course DS4H EUR shared) As an exception this year, the courses will kick off before the official semester 2 start; here are the dates (all are Friday morning) (Friday, Jan 10th Friday, Jan 17th Friday, Jan 24th Friday, Jan 31st Friday, Feb 7th Friday, Feb 14th Friday, Feb 21st Friday, March 6th) |
3 coeff |
Digital IP and Law (Law Faculty DS4H EUR shared). Thursday morning (TBC) |
3 coeff |
I & E 3 | Total 9 ECTS |
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Business Dev. Lab Part 2 (spread in the empty slots, from early march till 21st of June) | 5 coeff |
Summer school (globally organised EIT Digital in the July-August period) | 4 coeff |
Overall, the Basics in Innovation and Entrepreunership accounts for 6 ECTS, and the Business Development Lab for 8 ECTS.
Former Course plans (up to 2017-2018) : Semester 1, September-February (30 ECTS)
Module name | Module content: courses list | Total number of ECTS of the module |
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Communication and management skills (part of I&E) | 3 courses: French as a Foreign Language (or English for French speaking students), Scientific communication, Mini Business Development Lab | 6 ECTS |
Networked and Large Scale Systems | 2 courses depending on student's background among Web of Data, Semantic Web, Introduction to Networking (part 1 of), Algorithms for networking (with a Data Analysis lab) (part 2 of), Network security (part 3 of), Content distribution in Wireless networks, Virtualized Cloud technologies, Large Scale Distributed systems | 4 ECTS |
Algorithmic and Applications in Data management | 2 courses: Combinatorial and Graph techniques (part 2 of); Basics of probability and statistics (part 3 of). Depending on student's background, also Analysis and Indexing of images and videos or Semantic Web can be selected. | 4 ECTS |
Data Analytics | 2 courses, each 3 ECTS: Technology for Big Data; Data Mining | 6 ECTS |
I&E principles (part of I&E) | 3 9hours long courses on: Technological entrepreneur ideation, Entrepreneurial finance, Business and marketing, | 4 ECTS |
Options (choose 3 courses, each of 2 ECTS) | Cryptography and network Security (part 3 of); Greedy algorithms in IA/Problem solving (part 1 of); Winter school on complex networks; Large Scale Distributed systems; Personal project 1, Personal project 2 (can be combined); Knowledge Engineering | 6 ECTS |
Bonus courses | Analysis and indexing of images and videos in big data systems; Virtualized and cloud computing; Content distribution in Wireless Networks can be accounted if they have not yet been used in the above courses blocks. |
2 ECTS each; Each course mark>=10, +0.25 on the semester average mark; mark in [12,14[ +0.5; mark >=14 +0.75 |
Semester 2, February-June (30 ECTS)
Distributed systems | Concurrent, parallel, distributed systems | 4 (not 6) ECTS |
Data Analysis | Statistical machine learning (short version), Data Valorization | 4 ECTS |
Data Science | Selected Research seminars in Data Science on the campus premises (homeworks are research papers synthesis, or specific practical works, eg. on Tableau), and from Web Science | 4 ECTS |
Optional courses | Depending on student's background: Machine learning for computer vision (part 1 of), Computer Graphics (part 4 of); Advanced OO programming (C++ part of); or (in French) Programming distributed /parallel applications | 2 ECTS |
Study and research in Business in Data Science (part of I&E) | Business Development Lab (standard spec, see Course 1), including technical POC solution for the industrial selected use case (7 ECTS) Data Science business oriented application courses (standard spec, see Course 2, and more details here) and research seminars (on data search and storage, living labs, legal aspects of data usage) (5 ECTS) |
12 ECTS |
EIT Digital Summer School | Organized centrally by EIT Digital master school | 4 ECTS |
Bonus courses |
Software programming and object oriented engineering (can be replaced by a research and development personal project with sufficient engineering and development efforts) |
2 ECTS each |