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Welcome new students

Welcome new students

Useful information

Registration procedure for UvA-courses

First semester

With your UvA-net ID you can 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. 

Within the Computational Science (CLS) curriculum, three courses (in total 18 EC) in the first semester are compulsory. In principle, that would leave you with 12 EC (2 courses) to choose from. Please consult the Course Catalogue for information on courses (see below). During the Master Introduction, detailed information on constrained choice courses and (recommended) elective courses will be given as well.

First semester - ITMO students

As your situation is different from that of the other first-year students, please follow this link to enrol for UvA courses in the first semester: https://datanose.nl/#specialenrol. Mention your status as ITMO student in the form.

Second semester

To register for the courses in the second semester, you have to do this 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 through email.

More information on Course registration

VU course and exam registration

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

More information on (guest) enrolment at the VU

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

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.

Course catalogue 2018-2019

Bring your own device

All students of the master Computational Science are expected to use their own laptop.

More information on Bring your own device

UvAnetID

As soon as you are enrolled as a student at the UvA you will receive a UvAnetID from the Central Registration Office. If you completed your bachelor study at the UvA, your UvAnetID 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.

More information on UvAnetID

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).

More information on Student ID card

E-mail account UvA

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

More information on student email

Timetables

Your personal timetable is available on DataNose, login with your UvAnetID.

DataNose

Canvas

Most UvA-courses are supported by Canvas, our online learning environment. login with your UvA-net ID.

Canvas

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.

Study Adviser Faculty of Science

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 Service Centre 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

Contact information Education Desk FNWI