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.
Due to the Covid-19 crisis the Introduction day on August 27th 2020 for the new students of the Master Artificial Intelligence have been adjusted according to government policy and UvA policy. We can no longer proceed with our planned off campus social event for the Master AI on August 27th due to the updated Covid-19 regulations by the Dutch government. Unfortunately, this means the planned boat tour and visit to the Heineken Experience have been cancelled. We are now looking into an online social event for the afternoon instead.
For now the programme of the introduction day on August 27th will start in the morning with an online faculty introduction followed by online Master AI introduction and hopefully an online social event in the afternoon.
General welcome new students of the Graduate School of Informatics:
10.00 a.m. – 11.00 a.m. CET (zoom)
Introduction Master Artificial Intelligence:
12.00 p.m. – 1.00 p.m. CET (zoom)
Event Master Artificial Intelligence (NOT YET CONFIRMED)
Afternoon CET (online)
When the (new) programme for the afternoon is finalized, we will post it here on the website and let all first year Master AI students know by e-mail.
First semester: with your UvA-net ID you need to register for courses via https://datanose.nl/#masterenrol. 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: http://student.uva.nl/sis/.
Please note that the deadline for registration for courses of the 2nd semester is in December 2020 or January 2021. You will be informed about this in time through email.
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 http://vunet.login.vu.nl/ 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.
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, 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.
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.
All students of the master Artificial Intelligence are expected to use their own laptop.
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.
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).
UvA students can use an UvA email address via Google Apps for Education.
Your personal timetable is available on DataNose, login with your UvAnetID.
Most UvA-courses are supported by Canvas, our online learning environment. Login with your UvAnetID.
The faculty will organize a meeting for all international students of the Faculty of Science on Thursday 1 October at 17.30.
Due to the present situation, the meeting will be online. You will get acquainted with the Dutch academic environment, receive information about social activities and meet the 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.
We hope to see you all there!
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.
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: