Section outline

  • The Program is organised in three semesters. In semester A you will take four compulsory modules. In semester B you will take two compulsory and two elective modules. Each student will have to select one of three streams: 1) Applied Machine Learning, 2) Pattern Recognition and Deep Learning, 3) Statistical Inference. As detailed in the pdf below the list of compulsory and elective modules is function of the stream selected. Finally semester C is devoted to the final project.

    Part-time students will split the effort in two years, see details in the pdf below