Faculteit Wetenschappen en Bio-ingenieurswetensch.

Admission Requirements

Enrolling for this study plan is possible after having obtained one of the following degrees:

Academic Bachelor's programme artificiële intelligentie
Academic Bachelor's programme computerwetenschappen
Academic Bachelor's programme informatica
Academic Bachelor's programme ingenieurswetenschappen: computerwetenschappen

You may also be asked to provide additional documents so we may evaluate your application.

Aanbevelingsbrief 1 / Letter of recommendation 1
Aanbevelingsbrief 2 / Letter of recommendation 2
Motivatiebrief / Letter of motivation
Puntenlijst / Transcript of records

Overview of the study plan

Compulsory: 48 ECTS-credits
Electives: 12 ECTS-credits


Master Applied Informatics profile Artificial Intelligence compulsory

Master Applied Informatics profile Artificial Intelligence compulsory

Compulsory components programme level.

All courses in the list below are compulsory.

From the courses listed below, students must obtain 18 ECTS credits.

3ECTS credits - Methods for Scientific Research
15ECTS credits - Master's Thesis in Applied Informatics

Compulsory components programme level.

All courses in the list below are compulsory: students with a prior education in a Bachelor's degree in Artificial Intelligence need to take "Philosophy of Science" instead of "Methods for Scientific Research".

From the courses listed below, students must obtain 18 ECTS credits.

15ECTS credits - Master's Thesis in Applied Informatics
3ECTS credits - Philosophy of Science

Compulsory components profile Artificial Intelligence.

All courses listed below are compulsory within the profile Artificial Intelligence.

From the courses listed below, students must obtain 30 ECTS credits.

6ECTS credits - Reinforcement Learning
6ECTS credits - Current Trends in Artificial Intelligence
6ECTS credits - Advanced Topics in Natural Language Processing
6ECTS credits - Statistical Foundations of Machine Learning
6ECTS credits - Security in Computing

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Master Applied Informatics profile Artificial Intelligence electives

Students must choose 12 ECTS from the list below.

In addition, it is possible to include remedial courses in this module: Parallelism and Distribution, Higher Order Programming, Web Technologies, Machine Learning, and Introduction to Artificial Intelligence. Please indicate your choice via the form that can be found on the website.

To complete this module, students must obtain 12 ECTS credits.

6ECTS credits - Information Visualisation
6ECTS credits - Big Data Processing
6ECTS credits - Scalable Data Management Systems
6ECTS credits - Declarative Programming

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