The best of both Amsterdam universities

The Master’s programme in Computer Science is offered at the VU University Amsterdam in close collaboration with the University of Amsterdam (UvA). The universities combine their expertise in computer science in order to provide students the best educational experience and access to state-of-the-art research facilities.

Why study Computer Science in Amsterdam?

• You are interested in the techniques behind computer systems, programs, and the Internet.
• You have the ambition to get to the core of a scientific computational problem and are eager to discuss this at the highest level with your peers.
• You want, for example, to learn what is technically feasible on the Internet, now and in the future, or learn to design intelligent computer programs.
• You want to become a well-trained researcher by taking part in research with renowned scientists from both the VU University Amsterdam and the University of Amsterdam.

What can you expect from the Computer Science programme in Amsterdam?

• State-of-the-art teaching facilities and computing infrastructures;
• education from internationally renowned scientists;
• interactive teaching methods, individual supervision, and research orientation.

The Computer Science study programme

The curriculum in this Master’s programme mainly takes place at the VU University Amsterdam, where you have the opportunity to choose from a range of specialisations according to your interest:

• Foundations of Computing and Concurrency
• Internet and Web Technology
• Computer Systems and Security
• High-Performance Computing
• Software Engineering & Green IT 
• Technical Artificial Intelligence

For in-depth information about the specialisations, please visit the website of the VU University Amsterdam.

Courses at the University of Amsterdam

The specialisations listed above may include the following courses from the UvA. These courses are given at the UvA Faculty of Science:

• Advances in Computer Architecture
• Advanced Topics in Computer Networks
• Compiler Construction
• Concurrency Theory
• Concurrent System Design by Abstraction
• History of Digital Cultures
• Programming Concurrent Systems
• Web Services and Cloud-Based Systems