International Track on Machine Learning and Data Mining
MLDM Website
Link to the application Web Site
Overview
MLDM is an international track that provides an original scientific position in Europe on problems related to pattern recognition, machine learning, classification, modelling, knowledge extraction, data mining or big data analysis in the context of large amount of hetereogeneous and complex numerical or symbolic data. These issues have a strong employability potential for students trained in the field of modelling, analysis, prediction, information extraction, big data management or decision support, as well as in the area of the Web, image and video processing, health informatics, etc.
Openings: expert/consulting engineer in machine learning/data mining, expert/consulting engineer in business intelligence and Big Data, data scientist, data analyst, research and development manager, head of data analysis department, etc.
Course organisation
Semester 1, year 1 (M1) - 30 ECTS
- Introduction to Machine Learning (4 ECTS)
- Data Analysis (6 ECTS)
- Introduction to Artificial Intelligence (6 ECTS)
- Research Methodology (2 ECTS)
- Advanced algorithmics (5 ECTS)
- Calculability and Complexity Theory (4 ECTS)
- Foreign Language - French or English - (3 ECTS)
Semester 2, year 1 (M1) - 30 ECTS
- Machine Learning - Fundamentals and algorithms (4 ECTS)
- Optimization & Operational Research (3 ECTS)
- Data Mining and Knowledge Discovery (4 ECTS)
- Computer Vision (4 ECTS)
- Computer Networks and Security (3 ECTS)
- Internship or Personal Research Project (12 ECTS)
Semester 3, year 2 (M2) - 30 ECTS
- Advanced Machine Learning (6 ECTS)
- Probabilistic Graphical Models (4 ECTS)
- Data Mining for Big Data (6 ECTS)
- Deep Learning and Applications (6 ECTS)
- Machine Learning and Data Mining Project (6 ECTS)
- Project Management (2 ECTS)