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Welcome new students

Useful information

Here you can find a summary of all the useful information that you need as a new student. You can find also more detailed the information in the A-Z list.

  • Introduction day

    The introduction day of the Master Artificial Intelligence will take place on Thursday September 1st 2022.

    During this day you will receive study-related information about the faculty and the programme and you will have the opportunity to meet your fellow students. Details on the program will follow shortly. All new students will receive an invitation to the Introduction Day from the programme coordinator Margriet Pauws-Huisink.

  • Registration procedure for UvA-courses

    First semester: with your UvA-net ID you need to register for courses via Once you have registered here, you will automatically be enrolled for the compulsory courses in the first semester. Please make sure you click confirm before leaving this page.

    As of the second semester, you have to register for courses yourself through SIS, see:

    Please note that the deadline for registration for courses of the 2nd semester is at the end of the first semester. You will be informed about this in time through email.

  • VU course and exam registration

    As a UvA student you can choose one or two free-choice electives at the VU in one of the VU buildings on De Boelelaan in Amsterdam Buitenveldert. You have to be enrolled for these courses with a VU-net ID.

    As soon as your registration at the UvA is completed and the tuition fee is paid you will receive a VU-net ID from the VU. The VU-net ID allows you to log in to the VU-net student portal where you can register for courses and examinations.  If you do not register on time you have to wait until the next regular teaching or examination opportunity, in most cases a year later. So it is very important that you register for courses and examinations in time.

  • Additional important information on restriction course registration courses MSc AI

    Due to the large number of students who apply for admission to the master programme AI, the programme is forced to place some restrictions on several courses. The programme and the Graduate School of Informatics regret having to enforce these restrictions on courses, but lacks the facilities to admit all students from other programmes.

    Limited capacity Master AI core courses

    Please note that due to limited capacity of the core courses of the master programme AI, MSc AI students have priority for these courses.

    Students of other GSI master programmes are allowed to register for this course, but please note that there is a limited number of places available. Students from the other GSI programmes can request registration for this course in datanose or by e-mail and will be put on a waiting list.

    The core courses of the master programme AI are: Computer Vision 1, Machine Learning 1, Deep Learning 1, Natural Language Processing 1, Fairness Accountability Confidentiality and Transparency in AI, Information Retrieval 1, Knowledge Representation and Reasoning.

    Limited capacity Master AI restricted-choice electives

    The restricted-choice electives from the master programme Artificial Intelligence are available to all students for registration, but please note that due to the limited capacity of these courses students of the master programme Artificial Intelligence have priority. 

  • Course catalogue

    Consult the Course Catalogue for general educational information and for specific information about the master’s programmes, courses, contact persons, etc. The Course Catalogue is available online.

  • Study Starter Guide

    In this booklet you find information about the organisation of our education programmes, the study facilities, guidance from the faculty, and everything else related to student life in Amsterdam. Please read it carefully and keep it as a reference for later.

  • Meeting for all international students in October

    The faculty will organize a meeting for all international students of the Faculty of Science on Thursday 6 October 2022 at 17:30h.

    You will get acquainted with the Dutch academic environment, receive information about social activities and meet with your fellow international students. There will be a fun activity at the end of the meeting.

    In September you will receive an invitation with more details for this event by e-mail.

  • Bring your own device (BYOD)

    All students of the master Artificial Intelligence are expected to use their own laptop.

  • UvAnetID

    As soon as you are enrolled as a student at the UvA you will receive a UvA-net ID from the Central Registration Office. If you completed your bachelor study at the UvA, your UvA-net ID is still the same. If you have any problems with your UvAnetID password, you can contact the Study Centre (Library) at Science Park 904 for assistance.

  • Student ID card

    You will need a student ID card to identify yourself for classes, exams and study centres at all UvA locations, and to borrow books at the University library (UB).

  • E-mail account UvA

    UvA students can use an UvA email address via Google Apps for Education.

  • Timetables

    Your personal timetable is available on DataNose. Prefer all relevant information in one place? View your DataNose timetable in the MyUvA app.

  • MyUvA app

    The MyUvA app gives you direct access to all the information you need as a student. Here you will find your DataNose timetable, marks and the most important announcements for your programme. You can also use the app to check which study places are available and have direct access to Canvas and the University Library catalogue. If you have a question, notification or complaint, you can send it to the Student Service Desk via the app.

  • Canvas

    Most UvA-courses are supported by Canvas, our online learning environment. Login with your UvAnetID.

  • Study adviser

    Students may consult the study adviser for advice on individual situations like studying with a disability/chronic illness, combination study/work, personal circumstances, (temporarily) terminating the study programme as well as for advice regarding planning or doubts about your master’s programme. The study adviser can refer to lecturers, committees and departments within or outside the Faculty. The study adviser has knowledge of the rules and regulations concerning the educational system.

  • Education Desk FNWI

    The Education Desk is situated at Science Park 904 on the first floor. Opening hours daily from 9.00 am to 5.00 pm.

    Master students primarily contact the Education Desk for:

    • the registration of study results
    • information on schedules if not on-line
    • to pick up forms
    • to inquire about study and examination procedures
    • to make an appointment for the application of a MSc degree 
    • for a Transcripts of Records and English translations 
    • for procedures concerning approval from the Board of Examiners, such as approval of study programmes, special courses etc. 
    • for statements from various authorities