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About us Faculty of Science and Engineering Education Admission and Application Apply for a MSc programme

Apply for a MSc Programme

Naam opleiding (selective)

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1. Admission & Selection

Am I admissible?

The Artificial Intelligence Master programme has a selection procedure. This means that an applicant must both meet the admission requirements and successfully complete a selection procedure in order to be admitted to the programme.

Selection

Selection procedure

In order to select academically suited and motivated students, the Admission Board requires a complete selection file from all candidates. The Admission Board will review all individual applicants on the basis of your selection file. All admissible candidates will be rated on the selection criteria ‘academic performance’ and ‘motivation’, as specified below.

At least two members of the Admission Board score the applicants on the selection criteria. Scoring is on a 5-point scale from 1 to 5 (1 = insufficient, 2 = sufficient, 3 = amply sufficient, 4 = good, 5 = very good).

If the scores on academic performance and/or motivation deviate 1 point or more between members, they have to confer, after which they grade a second time. This outcome constitutes the final score.

Candidates are selected if they receive an average score of at least 3.0 on both ‘academic performance’ and ‘motivation’, AND a weighted average score of at least 3.5.

A. Academic performance (60%)

The score on academic performance is the result of the scores on relevance (70%), and proficiency (30%).

a. Relevance and affiliation/fit of the followed bachelor programme to the master programme (list of subjects/courses followed and grades obtained; brief description of the content of key subjects/courses demonstrating the knowledge and skill(s) acquired by the student).

> Key subjects:

Calculus, Linear Algebra, Probability & Statistics, Advanced Programming, Machine Learning, Advanced Logic, Neural Networks, Research Methodology Skills

Please consult our online catalogue www.rug.nl/ocasys/ for the intended learning outcomes of the course units that adhere to these subjects.

b. Proficiency in: (1) formulating scientific research questions and completing an academic assignment in the context of the programme, and in individually producing a written report on the assignment topic. The report has to reflect the student’s ability to produce a well-structured and concise report, adhering to the rules of scientific writing. The assignment handed in is free of choice, and can be a bachelor thesis; report on a practicum, experiment, or field-work; a literature review; a published peer-reviewed research paper, etc. * (2) programming for machine learning, image processing, robotics, and/or knowledge-based & multi-agent systems. (3) advanced statistical data analysis.

* If the student has not made an individually written report during the bachelor programme but has a report written together with another student, this can be used and the contribution needs to be indicated. Alternative option is that he/she should contact the selection committee to receive an assignment on the basis of which a written report can be prepared.

B. Motivation (40%)

The candidate has to provide a motivation (500 words) for the application, by answering the following questions:

1. Why did you choose this specific master’s degree programme?

2. How did the bachelor’s degree programme, extracurricular activities, and/or other experiences prepare you for this specific master programme?

3. In case it took you longer than nominal to acquire the bachelor degree, please briefly explain the cause(s) of the delay.

4. How does this master’s degree programme prepare you for your future career and/or serve your ambitions?

5. The master programme contains a large research project of 45 ECTS. In which research direction(s) at the University of Groningen would you like to carry out your project? Please motivate your choices.

6. Free space to mention anything you feel is relevant and is not addressed by the questions above.

Is there a pre-master?

Pre-master programmes AI

FSE offers predetermined Pre-Master’s programmes (Table 8.1-8.3) and individually determined Pre-Master’s programmes for the MSc AI. The Board of Admissions may decide to not accept admission. Starting date for a Pre-master's programme is 1 September. 

Pre-master's programme 1

Pre-master's programme 1 (Table 8.1) is for students with a Bachelor’s degree (except Artificial Intelligence and Computing Science) from the Faculty of Science and Engineering from the University of Groningen (UG) and for students with a Bachelor’s degree in Econometrics from the UG. The Admission Board may decide to include/exclude different courses on an individual basis.

 Table 8.1 Pre-master programme 1 (UG FSE and Econometrics)

Course code

 

 Course unit name

 

 ECTS

Period

Semester 1

 

 

WBAI003-05

 Imperative Programming

 5

 Ia-Ib

WBAI057-05 WBAI067-05

 Knowledge and Agent Systems      OR Introduction to Robotics

 5

 

Ia

Ia

WBAI012-05 

 Introduction to Logic

 5

Ib

WBAI056-05

 Introduction to Machine Learning

 5

Ib

Semester 2

 

 

WBAI018-05 

 Algorithms and Data Structures

 5

IIa

WBAI011-05

WBAI017-05

WBAI045-05

 Data Analytics and Communication

     OR Advanced Logic

     OR Object-oriented Programming

 5

IIb

IIa

Ia

WBAI063-05

 Fundamental Artificial Intelligence

 5

IIb

WBAI065-05

 Applied Machine Learning

 5

IIb

Total

 40

 

Pre-master's programme 2

Pre-master's programme 2 (Table 8.2) is for students with a relevant Bachelor degree without a Scientific background. The Admission Board may decide to include/exclude different courses on an individual basis.

Table 8.2 Pre-master programme 2 (non-science background)

Course code

 

 Course unit name

 

 ECTS

Period

Semester 1

 

 

WBAI003-05

 Imperative Programming

 5

 Ia-Ib

WBAI048-05

 Calculus for Artificial Intelligence

 5

Ia-Ib

WBAI057-05

 Knowledge and Agent Systems

 5

Ia

WBAI012-05 

 Introduction to Logic

 5

Ib

WBAI056-05

 Introduction to Machine Learning

 5

Ib

Semester 2

 

 

 

WBAI018-05 

 Algorithms and Data Structures

 5

IIa

WBAI017-05 WBAI045-05

 Advanced Logic

     OR Object-oriented Programming

 5

 

IIa Ia

WBAI063-05

 Fundamental Artificial Intelligence

 5

IIb

WBAI065-05

 Applied Machine Learning

 5

IIb

WBAI050-05

 Linear Algebra and Multivariable Calculus

 5

IIb

Total

 

 50

 

Pre-master's programme 3

Pre-master's programme 3 (Table 8.3) is for students with a HBO-ICT degree from Hanze University Groningen in Software Engineering, Business IT & Management or Network & Security Engineering. The Admission Board may decide to include/exclude different courses on an individual basis.

Table 8.3 Pre-master's programme 3 (Hanze University HBO-ICT)

Course code

 

 Course unit name

 

 ECTS

Period

Semester 1

 

 

WBAI048-05

 Calculus for Artificial Intelligence

 5

Ia-Ib

WBAI057-05

 Knowledge and Agent Systems

 5

Ia

WBAI012-05 

 Introduction to Logic

 5

Ib

WBAI056-05

 Introduction to Machine Learning

 5

Ib

Semester 2

 

 

WBAI018-05 

 Algorithms and Data Structures

 5

IIa

WBAI017-05

 Advanced Logic

 5

IIa

WBAI049-05

 Statistics

 5

IIa

WBAI063-05

 Fundamental Artificial Intelligence

 5

IIb

WBAI065-05

 Applied Machine Learning

 5

IIb

WBAI050-05

 Linear Algebra and Multivariable Calculus

 5

IIb

Total

 50

 

2. Application Procedure

Application timeline

  • Deadline May 1st
  • October ...
  • Early application

Your steps to take:

2A. Submit your application in Studielink

Please register in Studielink for the (Pre-) Master’s programme (including the master track if available). Please make sure you meet the payment obligations before the starting date (single payment or in instalments).

Please note; In case you would like to start with a Pre-master's programme, please make sure you register for the Pre-master's programme instead of the Master's degree programme in Studielink. If you have questions on how to register in Studielink, please contact us.

2B. Hand in your application file

All candidates with Dutch qualifications have to file an admission request via the FSE Application form, and upload the following documents before 1 May (start 1 September):

• ID card or passport

• Diploma of relevant Bachelor’s degree programme (if possible); or if the diploma is not yet obtained, a document containing a description + planning of the remaining course units in the programme

• Official transcript of records

• Proof of English language proficiency

• Curriculum Vitae

• The completely filled-in Checklist for AI including appendices:, motivation, relevant content Bachelor’s degree programme, written report in English

After candidates have filed their admission request, applications will be processed in the following way:

For holders of a Dutch BSc diploma:

1. Admission Support FSE compiles the individual selection file

2.Admission Support FSE submits the individual selection file to the Admission Board of the individual programme

For holders of a non-Dutch BSc diploma:

1. You upload documents in de Progress Portal

2. Admissions Office compiles the individual selection file

3. Admissions Office validates individual Bachelor’s degree diploma

4. Admissions Office submits the individual selection file to Admission Support FSE

5. Admission Support FSE submits the individual selection file to the Admission Board of the individual programme

3. What to expect next?

You will recieve the decision letter within 6 weeks after application by email.

(Conditional) Admission

information about (conditional) admission

Rejection

Rejection

Pre-master

Nader te bepalen

Appeal

If you disagree with a decision, you can lodge a complaint, objection or appeal. Complaints, objections and appeals can be submitted to the Central Portal for the Legal Protection of Student Rights (CLRS).

Last modified:23 October 2025 4.09 p.m.