This master is based on the three pillars. To train experts in our field, we provide the students with professional skills in modelling, design and implementation of computer architecture, data mining and optimisation applyed in business

Students will obtain set of core competencies in data understanding, data preparation, modeling, evaluation and deployment of solutions through implementation of programming, statistics, machine learning, data wrangling, data visualization, communication, business foundations and ethics. The goal is to teach domain experts in business to innovative thinking and approaches in data analytics, to be able to understand data, to process it, to extract value from it, to visualize it, and to communicate it.

This master is divided into two semesters. The first one adds up to a total of 30 ECTS. The second semester is divided into two parts: The first part of the course is worth 12 ECTS and the second part consists of Master thesis with 9 ECTS and internship with 9 ECTS.

During each semester, the student may choose one of several courses as a minor:

The list of Minors courses is:

• Quantitative Risk Management

• Supply Chain Analytics

• Digital Marketing Analytics

• Financial Econometrics

• Marketing Analytics

Semester 1
Skills Courses Hours ECTS
Data exploration Machine learning with Scala or R 21 10
Reinforcement Learning 21
Advanced Data mining approach (Time series, logistic regression, Bagging Boosting, Random forest, Neural network) 21
Advanced statistics 21
Computer technologies Choose a course among minors 21 7
Advanced database and NoSQL 30
Semantic web and Ontology 21
Social Network Analysis 15
Business intelligence Advanced BI & Data Visualization 24 3
Operations Research SAS Analysis 15 7
Forecasting models 33
Heuristics & AI 27
Distributed Optimization and Computing 18
Foreign language & HR Foreign Language 26 3
PPP: Personalized Professional Project 15
Total M2: Semester 1 300 30


Semester 2
Skills Courses Hours ECTS
Data exploration Elastic search Kibana 18 8
Text Mining and natural language 18
Deep learning (Convolutional Neural Network, Tensorflow, Keras,..) 18
Big data and Advanced Analytics 36
Operations Research Choose a course among minors 18 7
Constraint programming 18
Multi-objective optimization 18
Game theory 10
Foreign language & HR Foreign Language 26 1
Personal work Master thesis 90 8
Internship 160 8
Total M2: Semester 2 430 30