The 120-credit master's programme in Data Science is made up of :
- A common curriculum of 44 credits, including a final thesis and teaching units in:
- Databases
- Machine Learning
- Statistics
- A seminar
- One professional focus of 30 credits, among:
- The data analytics focus offers a range of algorithmic and statistical methods for data mining, learning, and visualisation of large datasets.
- The cybersecurity focus is built around 5 pillars: cryptography, hardware, software and system security, and privacy, complemented by an introduction to information theory.
- Elective courses and/or options are selected to earn at least 120 credits.
An additional teaching module may be added to the 120-credit programme for students who do not have all the prerequisites for the master's degree. These teaching units will be selected in consultation with the student advisor.
For a programme-type, and regardless of the focus, options/or elective courses selected, this master will carry a minimum of 120 credits divided over two annual units, corresponding to 60 credits each.