THE MASTERS PORTAL
Home
web_2020_Radboud_University_Header.jpg
Data Science
web_ru_en_1.jpg

Relevant links


Name of the Masters programme

Data Science


Institution

Radboud University


Contact the student advisors
More information on this institution
Our Social Media:

    Data Science
  • Brief profile
  • Course content
  • Career
  • Admission
  • Impressions
  • Masters programme
  • Open Days
  • Contact
|�|

Data Science at Radboud University

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).

 

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

 

Do you want to know whether you are eligible for this Master's programme? Do the e-check and find out in a matter of minutes!


More information on this programme? Visit the website!

next: Course content »

|�|

Course Content

Students must take a combination of compulsory courses and electives.
 

Compulsory courses
 

  • Machine Learning in Practice (6 EC)
  • Information Retrieval (6 EC)
  • Bayesian Networks (6 EC)
  • Research Seminar in Data Science (6 EC)
  • Philosophy and Ethics for Computing and Information Science (3 EC)


Elective courses should amount to 18 EC.


More information on this programme? Visit the website!

« back: Brief profile

next: Career »

|�|

Career

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 at business, governmental bodies or other research institutes.


More information on this programme? Visit the website!

« back: Course content

next: Admission »

|�|

Admission

Applications should have a completed Bachelor's degree in Computing Science or related area, including Computing Science or in Artifical Intelligence. For the specialisation in Data Science, we also encourage students to apply with a background in natural sciences, such as Chemistry, Biology, and Physics, who also have a keen interest in data analytics and proven mathematical and programming skills.
   

A proficiency in English
In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English* without a Dutch Bachelor's degree or VWO diploma need one of the following:
 

  • TOEFL score of ≥575 (paper based) or ≥90 (internet based)
  • IELTS score of ≥6.5
  • Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher


* Applicants are considered to be a native speaker of English if they are from Australia, Canada (with exception of Quebec), Ireland, New Zealand, Singapore, UK, USA or South Africa.

 

Application deadlines:
1 May (EU/EEA applicants)
1 April (Non-EU/EEA applicants)

 

Do you want to know whether you are eligible for this Master's programme? Do the e-check and find out in a matter of minutes!


More information on this programme? Visit the website!

« back: Career

next: Impressions »

|�|

Data Science - Impressions of your Masters study


More information on this programme? Visit the website!

« back: Admission

next: Masters »

|�|

Overview of Masters programmes - Radboud University



More information on this programme? Visit the website!

« back: Impressions

next: Open Days »

|�|

Open Days

Bachelor’s Open Day: Friday and Saturday 3.-4. November 2023

Master’s Open Day: Thursday 23. November 2023

 

 


More information on this programme? Visit the website!

« back: Masters programme

next: Contact »

|�|

Institution

Radboud University


Location: Radboud University Houtlaan 4
6525 XZ Nimwegen
Niederlande
Gelderland
T   +31 24 361 2345
E   study-information@ru.nl

« back: Open Days

Facts about the Masters programme

Location

Nimwegen

Field of study

Information Technology & Telecommunications

Degree

Master of Science

Language

English

Start

Application deadline

ask the institution

Type of study

Full-time

Duration of study: 2 years

Tuition fees EU: 2168 EUR / year

Tuition fees Non EU: 16000 EUR / year

ADD TO WATCHLIST
Related & recommended articles:

Facts about the Masters programme

Location

Nimwegen

Field of study

Information Technology & Telecommunications

Degree

Master of Science

Language

English

Start

Application deadline

ask the institution

Type of study

Full-time

Duration of study: 2 years

Tuition fees EU: 2168 EUR / year

Tuition fees Non EU: 16000 EUR / year

UPCOMING MASTERS STUDY FAIRS IN EUROPE
MASTER AND MORE Study Portals

Masters portal for Germany: www.master-and-more.de

Masters portal for Austria: www.master-and-more.at