Artificial Intelligence (Master's)

Graduate School of Informatics - Faculty of Science

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 2019

The next introduction day for new students starting in September 2019 will be held in August 2019More information will be published when available.

Registration procedure for UvA-courses

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. 

Please note that the two first mandatory courses of the master AI study programme: Evolutionary Computing and Multi-Agent Systems will both take place at the VU campus. All (new!) master AI students starting in September 2018 will be registered for these first two mandatory courses Multi-Agent Systems and Evolutionary Computing at the VU by the ESC.

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 2018 or January 2019. You will be informed about this in time through email.

VU course and exam registration

The master's programme AI is offered in close collaboration with the Vrije Universiteit (VU) in Amsterdam. As a UvA student you will take one or more (constrained choice and/or elective) courses 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.

Additional important information on restriction course registration courses MSc AI

Due to the large number of students who applied for admission to the master programme AI this year, the courses of the master programme AI face huge capacity problems. Therefore, the programme was 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.

The following courses are only open for registration for students of the master programme Artificial Intelligence (UvA):

Machine Learning 1, Knowledge Representation, Computer Vision 1, Information Retrieval 1, Natural Language Processing 1 and Multi-Agent Systems. These are 6 of the 7 core, mandatory courses of the master programme Artificial Intelligence and due to the limited capacity only students from the master programme Artificial Intelligence will be admitted to these courses. As an exception to this rule: students who failed the course last year will be admitted to the course in order to do a resit exam.

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

Other students can request registration for a course here: https://datanose.nl/#specialenrol  or by sending an e-mail to vakaanmelding-fnwi@uva.nl . This applies to the following courses: Deep Learning, Knowledge Representation on the Web, Natural Language Processing 2, Statistical Methods for Natural Language Semantics, Deep Learning for Natural Language Technology, Information Retrieval 2, Information Visualization, Machine Learning for Natural Language Processing, Probabilistic Robotics, Reinforcement Learning, Seminar Combining Symbolic and Statistical Methods in AI.

Course catalogue 2018-2019

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.

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, login with your UvAnetID.

Canvas

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

Meeting for International Students in October

In October, The Faculty of Science will organize a special event for all its international students. You will get acquainted with the Dutch academic environment, receive information about social activities and meet the other international students during drinks and pizza.

We hope to see you all there! In September you will receive an invitation with more details for this event by email.

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

Published by  Education Service Centre

9 November 2018