Artificial Intelligence, Systems, Data - Mathematics Track - Master's Year 2

The second year of the Master's in Computer Science with a specialization in Artificial Intelligence, Systems, Data - Mathematics track is an international training program of PSL University, coordinated by its components University Paris Dauphine, École normale supérieure and École des Mines de Paris. The IASD Master’s degree offers a complete M2-level curriculum providing solid theoretical knowledge and good practical experience of state-of-the-art methods in artificial intelligence and data science. Backed by the research laboratories of PSL University and the PR[AI]RIE-PSAI (Paris School of AI) Cluster, the IASD Master's degree is a high-level training program leading to careers in research and development in public or private research laboratories or innovative companies.

The program comes in two distinct tracks, IASD – Computer Science and IASD – Mathematics, which share many common courses but also features some specific advanced courses, leading to two distinct degrees in, respectivelyComputer Science andMathematics and applications.

Training objectives :

• Master the theoretical foundations of machine learning, including kernel methods, supervised and unsupervised learning, optimization, graphical models, etc.
• Master foundational statistical methods such as simulation, estimation, detection, etc.
• Understand the application of machine learning in marketing, health, journalism, public policy, etc.
• Gain working knowledge of certain key programming languages: Python (particularly the scikit-learn library), Hadoop, R, MATLAB, Julia, etc.
• Gain practical experience with manipulating data sets produced by applications and projects.

Courses are held at 16 bis rue de l'Estrapade, 75005 Paris.