Artificial Intelligence
Admission criteria
The programme does not ask for a design portfolio, but it does evaluate substantive prior work in AI. In the ranking, UvA explicitly considers relevant completed AI projects, the topic of the bachelor's thesis, and publications; applicants also upload a bachelor's thesis/project description.
Bar to clear: Completed, relevant AI projects plus a strong bachelor's thesis/project topic
A motivation matching the content of the master's programme is an entry requirement, and 'motivation for contents Master’s programme' is also an explicit ranking criterion. UvA requires a motivation letter in English of up to 500 words.
Bar to clear: Motivation letter in English, max. 500 words, clearly matched to the MSc AI curriculum
Academic preparation is central. Applicants need a qualifying AI/Computer Science-type background or equivalent coursework in computer science, programming, calculus, linear algebra, and probability/statistics. UvA also sets a minimum GPA and then ranks eligible applicants by GPA first, alongside programming skills, logic, mathematics, and relevant AI courses at master's level.
Bar to clear: Minimum GPA 3.0/4.0 equivalent and required university-level AI/CS/math coursework
Standardized admission tests such as GRE are not listed. English test scores are required only to prove language proficiency unless the applicant qualifies for an exemption, and they are not listed as ranking criteria.
Bar to clear: IELTS 7.0 overall with 6.5 in each band, or TOEFL iBT 100 with required subscores