Compulsory modules
Statistical Models and Data Analysis (15 credits)
Supervised Learning (15 credits)
MSc Computational Statistics and Machine Learning Project (60 credits)
Optional modules
Students must choose 45 to 90 credits from these optional modules. Students can also select up to 45 credits from elective modules.

Advanced Topics in Machine Learning (15 credits)
Applied Machine Learning (15 credits)
Approximate Inference and Learning in Probabilistic Models (15 credits)
Graphical Models (15 credits)
Introduction to Deep Learning (15 credits)
Machine Learning Seminar (15 credits)
Machine Vision (15 credits)
Probabilistic and Unsupervised Learning (15 credits)
Reinforcement Learning (15 credits)
Selected Topics in Statistics (15 credits)
Statistical Natural Language Processing (15 credits)