MSc in Data Science
Nijmegen, Netherlands
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
01 Jul 2025*
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 2,314 / per year **
STUDY FORMAT
On-Campus
* final deadline for EU students | deadline for EU students who want to get assistance with housing: 1 May 2025 | deadline for non-EU students: 1 Apr 2025
** for EU/EEA nationals; €17,000 for non-EU/EEA nationals
Introduction
Data Science is a specialisation of the Master’s programme in Computing Science. The Master’s is focused on research. You will learn how to turn real-world data sets into tools and useful insights, with the help of software and algorithms. First, you'll study scientific literature in the Research seminar. Next, during your research internship, you'll participate in a research project in a company or a scientific group. In the Master's thesis, you'll carry out your own research project, under the close supervision of our expert staff. You can, for example, take part in the research of iCIS on topics like Machine learning, Information retrieval, and recommender systems or Privacy and law.
This specialisation builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in areas such as machine learning, probabilistic modelling, and information retrieval. We’re leading in research on legal and privacy aspects of data science and on the impact of data science on society and policy. Our approach is pragmatic as well as theoretical. As an academic, we don’t just expect you to understand and make use of the appropriate tools, but also to programme and develop your own. Because of its relevance to all kinds of different disciplines, we offer our students the chance to take related courses at other departments like at language studies (information retrieval and natural language processing), artificial intelligence (machine learning for cognitive neuroscience), chemistry (pattern recognition and chemometrics) and biophysics (machine learning and optimal control). The job opportunities are excellent: some of our students get offered jobs before they’ve even graduated and almost all of our graduates have positions within six months after graduating.
Facts and figures
- Degree: MSc in Computing Science
- Faculty: Faculty of Science
- Croho code: 60364
- Duration: 2 years (120 EC), full time
- Start month: September
- Language of instruction: English
- Enrolled students: 20 - 50 per year
- Contact hours: 15 - 20 hours per week
Master's in Data Science: something for you?
- Our Institute for Computing and Information Sciences (iCIS) has a strong international reputation in areas such as machine learning, probabilistic modelling, and information retrieval.
- iCIS is leading in research on legal and privacy aspects of data science and on the impact of data science on society and policy.
- Our approach is pragmatic as well as theoretical.
- You can also take related courses at departments like language studies, artificial intelligence, chemistry, or biophysics.
- Exceptional students have the opportunity to study for a double degree in Artificial Intelligence.
Why study Data Science at Radboud University?
- This specialisation builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in areas such as machine learning, probabilistic modelling, and information retrieval.
- We’re leading in research on legal and privacy aspects of data science and on the impact of data science on society and policy.
- Our approach is pragmatic as well as theoretical. As an academic, we don’t just expect you to understand and make use of the appropriate tools, but also to programme and develop your own.
- Because of its relevance to all kinds of different disciplines, we offer our students the chance to take related courses at other departments like at language studies (information retrieval and natural language processing), artificial intelligence (machine learning for cognitive neuroscience), chemistry (pattern recognition and chemometrics) and biophysics (machine learning and optimal control).
- The job opportunities are excellent: some of our students get offered jobs before they’ve even graduated and almost all of our graduates have positions within six months after graduating.
- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Computing Science together with the Master's programme in Artificial Intelligence. This will take three instead of two years.
- Our students rate this Master’s programme 8,2 out of 10 according to the National Student Survey 2019.
Admissions
Curriculum
Specialisations
Data Science is a specialisation of the Master’s programme in Computing Science. The other specialisations are:
- Cyber Security
- Mathematical Foundations of Computer Science
- Software Science
- Science in Society
- Science, Management and Innovation
What will you learn?
This specialisation is focused on research. You will learn how to turn real-world data sets into tools and useful insights, with the help of software and algorithms. First, you'll study scientific literature in the Research seminar. Next, during your research internship, you'll participate in a research project in a company or a scientific group. In the Master's thesis, you'll carry out your own research project, under the close supervision of our expert staff. You can, for example, take part in the research of iCIS on topics like Machine learning, Information retrieval, and recommender systems or Privacy and law.
Gallery
Program Outcome
What will you learn?
This specialisation is focused on research. You will learn how to turn real-world data sets into tools and useful insights, with the help of software and algorithms. First, you'll study scientific literature in the Research seminar. Next, during your research internship, you'll participate in a research project in a company or a scientific group. In the Master's thesis, you'll carry out your own research project, under the close supervision of our expert staff. You can, for example, take part in the research of iCIS on topics like Machine learning, Information retrieval, and recommender systems or Privacy and law.
Scholarships and Funding
Several scholarship options are available. Please check the university website for more information.
Career Opportunities
Career prospects
A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyze a problem with real-world data and in the end:
- Come up with a creative and useful solution.
- Find or programme the right tool to turn the data into knowledge.
- Communicate the obtained findings to others.
By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our society.
The job perspective for our graduates is excellent. The industry desperately needs data science specialists at an academic level, and thus our graduates have no difficulty in finding an interesting and challenging job. A few of our graduates decide to go for a PhD and stay at the university, but most of our students go for a career in industry. They then typically either find a job at a larger company as consultant or data analysis or start up their own company in data analytics.
Examples of companies where our graduates end up include SMEs like Orikami, Media11 and FlexOne, and multinationals like ING Bank, Philips, ASML, Capgemini, Booking.com and perhaps even Google.
Radboud Career Service
Radboud Career Service Science helps students, PhDs and alumni with advice and counselling, either in an individual interview or in a workshop with fellow students. Career Service Science can introduce you to people at national and international companies and organisations that offer interesting jobs and internships. With our extensive knowledge of the labour market and recruitment experience, we’re here to advise you on how to find the job you desire.