Overview
The CSE curriculum consists of advanced courses on a broad range of topics, including algorithms, databases, formal methods, internet of things, data mining and machine learning, artificial intelligence, process analytics, security, (embedded) software engineering, system and software architecture, and visualization. These courses are taught by lectures who are active researchers on these topics.
The program is designed to give you an overview of all research areas and allow you the opportunity to specialize in the field of your choice. To accommodate this the program allows you a large amount of freedom in selecting your courses, which together constitute 2/3 of your program (80 credits) plus a 40 credits graduation phase (preparation for graduation + graduation project) that can be completed either within the university or with an external organization. In both cases you will be supervised by one of our researchers. The Study and Career Orientation Program (SCOP/e) that is part of your program aims to help you make choices as well as introduce you to the network of researchers in the field of Computer Science.
Program Components
Interesting links
Downloads
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[pdf] Overview of the CS Graduate Program
10 MB -
[pdf] Computer Science Graduate Program - Program Guide 2016-2017
844 KB -
[pdf] Computer Science Graduate Program - Program Guide 2017-2018
950 KB -
[pdf] Computer Science Graduate Program - Program Guide 2018-2019
950 KB -
[pdf] Computer Science Graduate Program - Program Guide 2020-2021
908 KB -
[pdf] Graduate program kick- off 2017
798 KB -
[pdf] Computer Science Graduate Program - Program Guide 2022-2023
1,006 KB