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Education Master's and PhD degree programmes Computational Cognitive Science
Header image Computational Cognitive Science

Computational Cognitive Science

How do humans process language, and how does this compare to Large Language Models like ChatGPT? How can AI become safer, more user-friendly, and aligned with human cognition? How can we use AI to better understand memory, perception, and brain activity?

If you're eager to combine technical skills with deep questions about the mind and machine, then the Master's degree in Computational Cognitive Science (CCS) is for you.


What you'll learn

Gain expertise in AI, cognitive modelling, neuroscience, and data science:
  • Study and simulate human cognition and analyse neuroimaging data
  • ️ Use artificial intelligence to study language, memory, and brain activity
  • ️ Apply cognitive models to improve technology, education, and user experience
  • ️ Master advanced techniques in data science, machine learning, and computational modelling

Specialisations

Human-Centred AI
Design AI tools and applications that align with human thinking, behaviour, and societal needs.

Human Language Modelling
Use AI to study how humans process language and build systems that understand or generate language naturally.

Cognitive Modelling & Brain
Explore the brain through computational models and neuroimaging data, and develop Brain-Computer Interfaces.

Want to learn more?



Facts & Figures
Degree
MSc in Computational Cognitive Science
Course type
Master
Duration
24 months (120 EC)
Croho code
60653
Language of instruction
English
Start
September
Faculty
Science and Engineering

Why study this programme in Groningen?

This two-year international Master's programme allows you to explore the frontiers of human cognition and brain science. You'll be trained in theory, experimentation, and real-world application—preparing you for a career in tech, research, cognitive science, or AI development.

Programme

Curriculum

2-year programme; credits per year: 60 ECTS; most courses are 5 ECTS.

For the complete curriculum, please see: https://ocasys.rug.nl/current/catalog/programme/60653

Extracurricular activities

In addition to this master's programme, you can apply for the extracurricular FSE High Tech Systems and Materials Honours Master (1.5 years, 20 ECTS), developed in close collaboration with industry. This programme offers multidisciplinary collaboration, hands-on product development for a company, masterclasses and workshops from experts. Upon completion, you will receive a mention on your diploma supplement.

BYOD Policy
Please be advised that students of the Faculty of Science and Engineering are expected to adhere to our Bring Your Own Device (BYOD) policy, ensuring seamless integration of personal electronic devices for academic purposes. For more detailed information on our BYOD policy, please visit our webpage .
Programme options
Cognitive Modeling and the Brain (specialization)
Human Language Modeling (specialization)
Human-Centred AI (specialization)

Study abroad

  • Study abroad is optional

Exchange is possible, for example as part of your Master thesis. All our science and engineering programmes offer study abroad possibilities at a number of partner institutions. Our partners include top-100 universities in Europe (for example in Germany, UK, and Sweden) and in the USA, China, South-East Asia, and South America. Our exchange programmes have a typical duration of one semester and count toward your final degree.

Entry requirements

Admission requirements

Specific requirementsMore information
previous education

A Bachelor's degree in Artificial Intelligence, Psychology or a relevant degree including the following subjects: Artificial Intelligence, Cognitive Psychology or Cognitive Science, Statistics and Research methods, practical skills in Programming.

Information about admission possibilities and requirements for students with a Dutch degree is published on: https://www.rug.nl/fse/msc-admission

Transfer options

Transferring from...

Study programmeOrganizationTransition
PsychobiologyUniversity of AmsterdamVia a pre-master with a maximum of 30 EC
Natural and Social SciencesUniversity of AmsterdamVia a pre-master with a maximum of 30 EC
Information ScienceUniversity of AmsterdamVia a pre-master with a maximum of 30 EC
Cognition, Language and CommunicationUniversity of AmsterdamVia a pre-master with a maximum of 30 EC
Study programmeOrganizationTransition
LinguisticsRadboud University NijmegenVia a pre-master with a maximum of 30 EC
Study programmeOrganizationTransition
Communication and Information StudiesUtrecht UniversityVia a pre-master with a maximum of 30 EC
Information ScienceUtrecht UniversityVia a pre-master with a maximum of 30 EC
Study programmeOrganizationTransition
Communication and Information StudiesTilburg UniversityVia a pre-master with a maximum of 30 EC
Cognitive Science and Artificial IntelligenceTilburg UniversityNo additional requirements
Study programmeOrganizationTransition
Data Science and Artificial IntelligenceLeiden UniversityNo additional requirements
Study programmeOrganizationTransition
Data Science and Artificial IntelligenceMaastricht UniversityNo additional requirements
Study programmeOrganizationTransition
Information ScienceUniversity of GroningenNo additional requirements
Psychology (NL)University of Groningen

Additional requirements

More information:

Students with a BSc in psychology who have sufficient programming experience and have passed the course Architectures of Intelligence can be admitted.

Study programmeOrganizationTransition
Artificial IntelligenceAll Research universitiesNo additional requirements
Artificial IntelligenceAll Research universitiesNo additional requirements

Registration procedure

The Board of Admissions will decide whether you can be admitted to the Master's degree programme.

Please fill out this checklist to describe why you are applying for this Master's degree programme (questions to be addressed are outlined in the form).

Application deadlines

Type of studentDeadlineStart course
Dutch students01 May 202601 September 2026
EU/EEA students01 May 202601 September 2026
non-EU/EEA students01 May 202601 September 2026
BEFORE YOU APPLY
Make sure to visit 'MSc Application Procedure' for all the necessary information about the procedure and admission requirements.

Admission requirements

Specific requirementsMore information
previous education

A Bachelor's degree in Artificial Intelligence, Psychology or a relevant degree including the following subjects: Artificial Intelligence, Cognitive Psychology or Cognitive Science, Statistics and Research methods, practical skills in Programming.

This is merely an indication of required background knowledge. The Board of Admissions determines whether the specific contents of this/these course(s) meet the admission requirements of the master programme for which you applied.

knowledge minimum

BEFORE YOU APPLY! Make sure to visit 'MSc Application Procedure' at: https://www.rug.nl/fse/education/admission-application/apply-msc/intl-diploma/ for all the necessary information about the procedure and admission requirements.

language test

MAKE SURE TO VISIT https://www.rug.nl/fse/programme/admissions/msc/language-requirements for all the necessary information about required language tests and minimum scores.

other admission requirements

SCHOLARSHIPS

In cooperation with major national and international companies we welcome students with several scholarships

ASML Scholarship: ASML is one of the world's leading manufacturers of chip-making equipment. The €5000 p/y scholarship is awarded every year to 25 exceptional students, who get the chance to become a Technology Ambassador within their scholarship period. More information can be found here: https://www.asml.com/en/careers/students-graduates/asml-scholarship

Registration procedure

The Board of Admissions will decide whether you can be admitted to the Master's degree programme. Applications are evaluated on a continuous basis. You do not have to wait until the application deadline to apply.

Please fill out this checklist to describe why you are applying for this Master's degree programme (questions to be addressed are outlined in the form).

Application deadlines

Type of studentDeadlineStart course
Dutch students01 May 202601 September 2026
EU/EEA students01 May 202601 September 2026
non-EU/EEA students01 May 202601 September 2026
BEFORE YOU APPLY
Make sure to visit 'MSc Application Procedure' for all the necessary information about the procedure and admission requirements.

Tuition fees

NationalityYearFeeProgramme form
EU/EEA2025-2026€ 2601full-time
non-EU/EEA2025-2026€ 24900full-time

Practical information for:

After your studies

Job prospects

The demand for experts who understand both human cognition and artificial intelligence is growing across sectors. With a Master's degree in Computational Cognitive Science, you'll be equipped to work in research, technology, or applied AI. Many graduates pursue PhDs, while others enter roles in industry or government where cognitive modelling and data analysis are key. This programme offers excellent preparation for careers in human-centred AI, software development, and brain-computer interface

Graduates of this programme are highly employable thanks to their interdisciplinary training in AI, cognitive science, and data-driven research. You'll be well prepared to shape the future of intelligent systems and their connection to human behaviour.

Job examples

  • PhD researcher in AI, neuroscience, or cognitive science
  • Human-computer interaction specialist
  • Interaction designer or usability expert
  • Software developer in cognitive technology
  • Cognitive modelling consultant
  • Research scientist at institutions such as TNO
  • AI developer in start-ups or innovation labs
  • Data scientist focusing on behavioural or neural data

Research

Interdisciplinary in nature

Within the Master's degree programme Computational Cognitive Science, much of the research is connected to the department of Artificial Intelligence and the research institute Bernoulli. Most of the teachers in the Master's programme are affiliated with the Bernoulli Institute and the content of the courses is closely linked to their research themes.

The mission of the Bernoulli Institute is to perform outstanding academic research and teaching in Mathematics, Computer Science, and Artificial Intelligence, and to maintain international leadership herein; to foster these disciplines as a living body of knowledge, and to make it relevant to society in its broadest sense. The symbiosis between pure and applied science, and between mono- and multidisciplinary research and teaching, is a distinguishing characteristic of our institute. As an important part of this mission we aim to transfer our results to other areas of science and technology, and initiate and expand inter- and multi-disciplinary research collaborations.

The following research groups within the institute focus on Artificial Intelligence:

The research in Artificial Intelligence and Cognitive Engineering is inherently interdisciplinary in nature. With Computing Science, an interest in formal modeling is shared, where these models may be symbolic, statistical or hybrid in nature. With Psychology and Biology an interest in natural cognition is shared, where the goal is to describe fundamental qualities of cognition in such an explicit way that computational models of perceptual, cognitive, and behavioural control functions can be constructed.

Good ties with the research of other institutes at the University of Groningen

The master Computational Cognitive Science has strong ties with other institutes of the University of Groningen, such as the research institute for Behavioral and Cognitive Neuroscience, the Heymans Institute for Experimental Psychology and the University Hospital.

Apply nowBrochureEventsContact

Contact

  • Academic Advisors FSE (For questions regarding the programme)
  • studyscience@rug.nl Study Science (For students who are interested in a Campus Tour or who have other general questions)
    Email: studyscience rug.nl

Study associations

Cover

Cover is the study association for all students of AI, CS, and CCS here at the UG. We offer fun activities, a room to hang out, and support for you to pass all your upcoming courses.
A study association is an organisation run by a team of students from the respective bachelor’s and master’s degree programme(s). We organise many activities for students, including introductory camps and monthly “borrels” (informal social gatherings with drinks). Our activities follow our 3 main pillars: education, social, and career. Hence, we organise course support lectures, symposia, educational talks, parties, informal gatherings, career day, company visits, company talks, and many more.If you decide to study AI, CS, or CCS, be sure to sign up for Cover at www.svcover.nl/join, so you can attend all our awesome activities even after the Kick-off Week! And, about the Kick-Off Week, we always organise a treasure hunt, a barbecue, a borrel, and an introduction camp that spans an entire weekend for the first years.
https://www.svcover.nl/