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Bachelor’s degree · Dedicated AI or machine learning program

BSc Kunstmatige intelligentie

BSc Artificial Intelligence

University of Amsterdam · Amsterdam, Netherlands

Currently offered, next intake unconfirmed

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BSc Kunstmatige intelligentie
Subject
Artificial intelligenceFull time
Format
On campus180 ECTS, 36 months
Price
Not published

About this program

Dutch-taught bachelor that studies and analyses intelligence from multiple academic perspectives.

School and department
University of Amsterdam
Subject or specialization
Artificial intelligenceRecorded only where the official program page names it as a focus, not for individual modules.
Teaching language
Dutch

Qualification and recognition

Qualification
Bachelor’s degree
Exact award
BSc Kunstmatige intelligentie
Credential type
DegreeA degree awarded by a degree-granting institution.
Academic credit
Credit status not stated
Awarding institution
University of Amsterdam
Access and price model
PaidPaid enrolment.

Structure and schedule

Duration
180 ECTS, 36 months
Delivery
On campusTaught at the listed campus.
Physical attendance
Regular physical attendance
Schedule
Full time
Credits
180 ECTSCredit systems differ between countries and institutions.
Teaching location
Science Park

Admissions, prerequisites and intakes

Programming
Not stated
Mathematics
Not stated
Prior degree
Not stated
Work experience
Not stated
International applicants
Not confirmed

Fees

Original currency is authoritative. Each fee keeps its basis (per term, per year, per credit, whole program) and the academic year it applies to and is never converted or added up for you.

Tuition is not published on the pages we checked. That does not mean the program is free: ask the institution for current fees, equipment costs and any deposit or refund terms.

Sources and verification

Not published on the program’s source pages: price, prerequisites, dated intake or deadline.

Sources and how this was checked

Last checked 1 November 2026. Each fact carries a verbatim quote that is re-checked against the live page. Research methodology.

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