Keywords:
Education Market, ICT, Big Data, Artificial Intelligence
Edu type:
Formal education
Location:
Education:
Master (EQF 7)
Start date:
01/02/2021
Study Load:
3360 hrs
Duration:
2 years
More information

Description:

The Artificial Intelligence programme is a fulltime two-years programme (120 EC), consisting of a 76 EC course part and a 44 EC research part. Each year is divided into two semesters, running from September until January and from February until June. 

 

Course part (76 EC)

The course part consists of 16 EC compulsory courses and 60 EC elective courses. For detailed course descriptions and options, please see thecourses page.

 

Research part / Thesis (44 EC)

Besides the course part, the programme consists of a 44 EC research part. In this part the student carries out a research project under the supervision of one of the staff members of the research groups offering the AI programme. The project can be done within Utrecht University, at an external University or in a research-and-development department of a company or research institute. In the past, students have carried out external thesis projects in companies such as KPN, Origin, The Dutch Tax and Customs Office, Vitatron Medical B.V, TNO, NS, ING, STRO, VSTEP, LibRT and Playlogic Game Factory, and at foreign universities or with companies abroad.

When done within Utrecht University, your final thesis project is monitored by a supervisor from the AI teaching staff. When the final project is conducted within a company or external institute, you will be guided by both a local supervisor within the company/institute and a supervisor of the AI teaching staff.

 

Interdisciplinary profiles

To expand the thematic range of your Master's programme, you can replace your secondary electives by a coherent course set from a specific profile (30 EC). The courses are on a single thme that is usually not a standard part of the programme. 

- Complex Systems Profile

- Educational Profile - Teacher degree

- Applied Data Science Profile

 

Deficiencies

Students with deficiencies in the required entrance knowledge for the AI master programme can (subject to approval) use at most 15 EC to take courses (usually at the undergraduate level) to remedy those. For students with more deficiencies the admissions committee could, if feasible given the student's background and knowledge, offer the student a pre-master programme of 30 EC.

 

Mentoring System

At the start of the programme, each student discusses his or her interests with the Artificial Intelligence student advisor.

 

Together, an individual study plan is drawn up that fits the background and interests of the student. The study plan details all courses the student intends to take; it may always be changed in a later phase after checking with the student advisor. During the first part of the study, the Artificial Intelligence student advisor will be the primary contact for any study-related questions and problems. During the final thesis project, this role is taken over by a staff member supervising the final project.

 

 

NVAO accreditation

This program is legally recognized and accredited by the Accreditation Organization of the Netherlands and Flanders (NVAO).