Study cover for Data Science
M.Sc. On Campus

Data Science

Radboud University

24 months
Duration
17000 EUR/year
2209 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Data plays a role in almost every scientific discipline, business, industry, or social organisation. Medical scientists sequence human genomes, astronomers generate terabytes of data and the police employ data models that predict crimes. In this Master's specialisation in Data Science at Radboud University you’ll learn how you can turn data into knowledge and solutions with the help of computers.

Visit the official programme website for more information

Overview

Programme overview

The Master's specialisation in Data Science focuses on combining data and know-how into practice. Students in the programme will research ways to turn data into tools and useful insights using software and algorithms.

Radboud researchers lead the field in understanding legal and privacy aspects of data science and on the impact of data science on society and policy.This programme works closely with the Institute for Computing and Information Sciences (iCIS) in areas such as machine learning, probabilistic modelling, and information retrieval. Students will benefit from working closely from top experts in the field, conducting research side-by-side and being supervised during projects of their own.

We take a multidisciplinary approach to this field, offering 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).

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: echeck.ru.nl

What will you learn?

  • Gain a theoretical background in Bayesian Networks, information retrieval and practical machine learning

  • Learn about the philosophy and ethics of computing and information science

  • Choose from courses in a variety of different disciplines to gain the supplementary knowledge you need to understand the topics you work with

  • Get valuable experience designing, conducting and presenting your own research

Career opportunities

Graduates of this programme have little difficulties finding jobs. Some graduates choose to go pursue a PhD, but most of our students go for a career in industry. Graduates could find jobs in a variety of roles.

Programme Structure

Courses include:

  • Machine Learning in Practice
  • Information Retrieval
  • Bayesian Networks
  • Research Seminar in Data Science
  • Philosophy and Ethics for Computing and Information Science

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

More details

Non-EU/EEA applicants 

  • 1 April: Final deadline

EU/EEA applicants  

  • 1 July: Final deadline

Credits

120 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • A completed Bachelor's degree: To get admission to the Master's in Computing Science, you'll need a Bachelor’s degree in Computing Science or in Artificial Intelligence. We also encourage students to apply who have a background in natural sciences, such as Chemistry, Biology, and Physics, with a keen interest in data analytics and proven mathematical and programming skills. The Admission Office will consider whether or not you have met the requirements.
  • A proficiency in English

Students must have passed (preliminary) examinations containing the following subject matter:

  • Variety of these mathematical courses, at least 12 EC: Calculus, Linear algebra, Logic, Discrete mathematics, Statistics, Probability theory, Combinatorics.
  • Variety of these theoretical computing science courses, at least 6 EC: Languages and Automata, Computability, Semantics, Functional programming, Proof systems, Software Verification, Machine Learning, and desirably Complexity theory.
  • Basic skills programming: Imperative programming, Object oriented programming (as first or second year course), Software development (project work), Data structure algorithm.
  • Students must be familiar with research methods, academic writing and critical thinking.
  • Due to the COVID-19 outbreak which has led to the temporary closure of test centres, Radboud University currently also accepts the iBT TOEFL Special Home Edition. For all other questions regarding the coronavirus please visit our FAQ.

Tuition Fee

To alway see correct tuition fees
  • International

    17000 EUR/year
    Tuition Fee
    Based on the tuition of 17000 EUR per year during 24 months.
  • EU/EEA

    2209 EUR/year
    Tuition Fee
    Based on the tuition of 2209 EUR per year during 24 months.

Living costs for Nijmegen

800 - 1000 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

  • We have a number of scholarships available only for international Master’s students. You can find the full list, including details about eligibility requirements and how to apply, on the university's website

  • Please do note, that most of these scholarships are not fully funded. The Radboud Scholarship Programme (RSP) is the only scholarship that offers both fully and partially funded scholarships.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

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