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MSc in Computing Science

Radboud University ICT

Full time September MSc Full-time: 2 years

About the course

Master's programme in Computing Science

A solid, theoretical understanding of computer technology with plenty of attention for the wide range of ICT applications.

The enormous and rapidly growing power of ICT is the main driving force shaping our modern society. This goes beyond the technical and economical aspects. ICT is also essential in research as all sciences benefit from the raw power of software in processing huge quantities of data. But how do we manage and control the complexity of modern software? How can we make the most of the opportunities? And, not to be forgotten, how can we secure the ICT infrastructures we so heavily rely on? The Master’s programme in Computing Science covers all these aspects.

We offer specialisations in each terrain: security, software, data and the

Read more about this course

Entry Requirements

1. A completed Bachelor's degree in Computing Science or related area
2. A proficiency in English:
a. A TOEFL score of ≥575 (paper based) or ≥90 (internet based)
b. An IELTS score of ≥6.5
c. Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE) with a mark of C or higher

Would you like to know if you are eligible to be admitted to this programme? Take our E-Check and instantly get an insight in your eligibility:


€2,168 (from EEA countries); €16,500 (from non-EEA countries).

Course Content

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Student Profile(s)

Karthick Thambidurai

About the programme: The main thing I liked about the programme was the wide range of security courses offered here which was really challenging and a was great learning experience compared to my previous education and the other reason being the professors from the digital security group who are the best in the field.

The atmosphere in class: The experience in the lectures were great and some of the courses were recorded which was helpful in case of missing a lecture and the lectures were fairly interactive.

Challenges and obstacles: One of the challenge being an international student was getting used to the culture and the education system in Netherlands due to which there were some obstacles with the initial courses and exams which got better as days passed.

Internship: I'm currently starting with my Masters thesis and I'm still working on my topic.

Moira Berens

Almost all skills I learned during my Master's are relevant. I think there is no course where I haven't learned something that has been useful in my career. Especially the courses where I gained practical experience with building AI models are very useful. Think about courses as "Machine Learning in Practice" and "Intelligent systems in Medical Imaging".

The most challenging for me was my Master's thesis. On the other hand, this thesis was the most useful course for me, since I gained a lot of practical experience.

I'm currently working as a data scientist in a small company. In my job, I am responsible for the AI models that are used in the products of the company. I work together with a couple of other data scientists on cutting-edge problems. I use all the knowledge I have gained during my studies every day. You can compare my job with one big Kaggle challenge.

I think that the combination of data & AI can be a solution to several unsolved problems. As a data scientist, you can have a large impact on the world. One of the first problems I tackled during my work, still saves everyone in the Netherlands minutes per day. The AI I created sends tow trucks to car accidents so that the road is cleaned-up faster after an accident.


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