The curriculum in the master's programme Computing Science consists of the following parts:

  • Mandatory courses (22.5 EC): three courses that every student in the programme takes.
  • Primary electives (22.5 EC): three courses chosen from a list of four that is specific to your chosen track (see the "Study Programme" tab for the list of available tracks).
  • Secondary electives (30 EC): four courses to shape the master programme into your personal programme that fits your research interest. These electives can be chosen more liberally from other tracks within the Computing Science programme, or even from other programmes. It is also possible to use this elective "space" to do a so-called "profile" that centers around a certain pre-defined theme. See the "Profiles" tab for a list of available profiles. 
  • Research part (45 EC): do innovative research yourself and write a thesis about it.


All Master Courses

Master courses of the Department of Information and Computing Sciences are listed at, along with useful general information, schedules and access to course-spcific information.

Courses of all university bachelor and master programmes can be found with the OSIRIS course catalogue.

Mandatory courses
Mandatory courses
INFOMADS Algorithms for descision support term 1 timeslot C
INFOMCPD Concepts of program design term 2 timeslot C
INFOMBD Big data term 3 timeslot D
Primary electives

Take three courses chosen from a list of four that is specific to your track

Track Algorithm design and analysis
INFOMCRWS Crowd simulation term 2 timeslot A
INFOAN Algorithms and networks term 2 timeslot B
INFOSTT Scheduling and timetabling term 4 timeslot B
INFOGA Geometric algorithms
not this year, will be back in 2018/19 term 1
term 1 timeslot
Track Programming technology
INFOMTFL Technologies for learning term 1 timeslot B
INFOMPSV Program semantics and verification term 1 timeslot A
INFOAFP Advanced functional programming term 3 timeslot C
INFOMCCO Compiler construction term 4 timeslot A
Track Advanced planning and decision making
INFOPROB Probabilistic reasoning term 1 timeslot D
INFOAN Algorithms and networks term 2 timeslot B
INFOEA Evolutionary computing term 3 timeslot A
INFOSTT Scheduling and timetabling term 4 timeslot B
Track Algorithmic data analysis
INFOMDM Data mining term 1 timeslot D
INFOMR Multimedia retrieval term 1 timeslot C
INFOMPR Pattern recognition term 2 timeslot D
INFOMPSM Pattern set mining term 4 timeslot D
Secondary electives

Take four courses in the categories below:

  • The fourth course in your track
  • Any course from another track in the Computing Science programme
  • An individual Experimentation project, or Capita Selecta
  • Any course from the Game and Media Technology primary electives
  • Any course from the Agents track in the Artificial Intelligence programme
  • A course from another programme in the Faculty of Science (at most one, upon approval)
  • A course from another programme in Utrecht University (at most one more, upon approval)
  • Deficiency courses: courses from the bachelor's programme (in Dutch) which may be needed if you have non-standard background knowledge (at most two, upon approval)
Research part
Mini courses in the 1st year
GSNS-INTRO Introducing natural sciences 0.5 EC
FI-MHPSDIL Dilemmas of the scientist 0.5 EC
Individual elements in the 2nd year
INFOMCCS Colloquium Computing science 4 EC
INFOMCOSC1 Thesis Computing science part 1 15 EC
INFOMCOSC2 Thesis Computing science part 2 25 EC

We organize a weekly colloquium in which staff members, guests and students give presentations on computing science topics. The colloquium is a mandatory part of your programme, and it is also a good opportunity to learn about the research done by others, and computing science in general. It also gives you inspiration for your own (thesis) project. To obtain its 4 EC, it is mandatory to attend at least 25 colloquium sessions (30x for students that started before Sept. 2016), and to give one presentation yourself.


You are required to fill out the following forms in order to be able to either start or finish your research project or extracurricular internship. This project or extracurricular internship may take place at Utrecht University or at one of our partners (a different university, research institute, or business). 

Please fill out the forms digitally and use a print-out for signing and handing in. The documents require macros to be enabled in Word to use all of the form functionality.

  • Make sure to hand in the co-signed Research Application Form at the Science Student Desk prior to starting your project. Important: this form can only be filled out completely after you have discussed the project setup with your intended project supervisor! 
  • Please note that this protocol (English version) applies when a project is delayed. 
  • In case of a project or extracurricular internship outside of Utrecht University, please make sure you have filled out the 'daily supervisor' section of the Research Application Form and also fill out this Work Placement Agreement.
  • If your project is split into two parts, your project supervisor will fill out the assessment form part 1 at the end of the first part of your project.
  • At the end of your project your supervisor will fill out the assessment form part 2 and hand it in at the Science Studente Desk in order to have your grade registered in Osiris. 
  • Specific for mathematical sciences students: please refer to these guidelines.

At the start of your study, you are required to compose a study plan from above components, specifying the courses you plan to take, and when. The plan has to be approved by the programme coordinator.

course enrollment WITH Osiris

"Osiris" is the university databases storing information on students and courses. By logging in on Osiris you can enroll for courses, consult grades, etc. Only enroll for courses that you actually want to take. If you don't show up at a course you enrolled, it will be listed as "failed" in your dossier.

With Osiris comes a course catalogue describing all courses at Utrecht University (no logging in required). For every course, the course schedule and assessment policy are mentioned.