Course organisation
The aim of this MLDM master program is to offer the opportunity to acquire 120 ECTS of which 90 ECTS correspond to courses and 30 ECTS to the Master Thesis which takes the form of an internship (research or professional) conducted during the fourth semester in a company or a research laboratory.
Semester 1
30 ECTS (from September to December).
- Introduction to Machine Learning (4 ECTS)
- Data Analysis (6 ECTS)
- Introduction to Artificial Intelligence (6 ECTS)
- Research Methodology (3 ECTS)
- Advanced algorithms and Programming (5 ECTS)
- Complexity Theory (4 ECTS)
- Foreign Language - French, English or Spanish- (2 ECTS)
Semester 2
30 ECTS (from January to June).
- Machine Learning - Fundamentals and algorithms (4 ECTS)
- Optimization (3 ECTS)
- Data Mining and Knowledge Discovery (4 ECTS)
- Computer Vision (3 ECTS)
- Deep Learning I (4 ECTS)
- Internship (12 ECTS)
Semester 3
30 ECTS (from September to January).
- Advanced Machine Learning (6 ECTS)
- Probabilistic Graphical Models (4 ECTS)
- Data Mining for Big Data (6 ECTS)
- Deep Learning II (6 ECTS)
- Machine Learning and Data Mining Project (6 ECTS)
- Project Management (2 ECTS)
Semester 4
Master Thesis - Internship from early February to late June (30 ECTS)
