Each of the four tracks of our program, Business Intelligence, Health and Life Sciences, Pervasive Computing, and Visual Computing, provides a solid grounding in data science and engineering as well as a firm grasp of the domain of interest. Below you find a plan of study for each track as well as instructions on how to build your own, should you wish to obtain a Master degree on Computer Science of more traditional flavor. The area of each color-coded slice in the pie chart is proportional to the credit percentage.
Health and Life Sciences: Digital Signal & Image Processing, Bioinformatics & Computational Biology, Applications of Mathematics to Medicine, Computational Neuroengineering, Data Protection & Privacy, and Well-Being Technologies
Your Own Track: Two units (15%) among: Bioinformatics & Computational Biology, Computer Graphics & Augmented Reality, Data Visualisation, Data Warehousing, Digital Signal & Image Processing, Security, and Ubiquitous Computing
Two units (10%) among: Computational Vision, Data Protection & Privacy, Data Visualisation, Graph Analytics, Multiagents Systems, Advanced Programming Paradigms, and Well-Being Technologies
Two units (10%) among: Applications of Mathematics to Medicine, Business Management, Computational Neuroengineering, Data Analysis & Data Mining, Data Semantics, Large Scale Software Engineering, Computer Games, Human Computer Interaction
Final Dissertation may include training with domain experts