1. Overview
  2. Programme

Programme

Our programme has a strong technical and scientific approach towards AI research: mathematical AI foundations and hands-on programming make up a large part of the curriculum. It consists of compulsory core courses, specialisation courses and a thesis. The programme covers a wide range of topics, such as Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, Parallel Computing, Fairness and Intelligent Agents. In courses on these topics you build a solid understanding of AI.

All courses are taught by world-renowned researchers who are experts in their field. The majority of lecturers are also involved in collaborative research with industry players so you benefit from in-depth knowledge of AI applications in practical situations.

What you will learn

  • You gain techniques to analyse and propose solutions to AI problems
  • You will be able to select the most appropriate solution, considering innovative alternatives
  • You can present rational and reasoned arguments using appropriate conceptual tools
  • You are trained to work effectively in a team to design, develop and deploy AI-based systems

Curriculum

Start of study in winter semester

Crediting of professional experience (30 KP) 1. Term (12 KP) 2. Term (18 KP) 3. Term (18 KP) 4. Term (12 KP) 5. Term (15 KP) & 6. Term (15 KP)

Prerequisites:

  • One year of professional experience and a Bachelor's degree in computer science or a related subject
  • Software development skills in scope and depth as acquired in professional practice in a computer science-related environment.

CS4171-KP12

Next Generation AI Technology

4V+4P

CS4337-KP12

Bio-Inspired Computing

6V+2P

CS4519-KP12

Intelligent Cooperative Agents

6V+2P

CS5076-KP12

Human-Centered Trustworthy AI

6V+2P

CS5995-KP30

Master Thesis AI
   

CS5071-KP12

6V+2P

 Next Generation AI Computing and Learning    
Equivalence check 1 Exam 1 Exam 2 Exams 1 Exam 1 Exam

Start of study in summer semester

Crediting of professional experience (30 KP) 1. Term (18 KP) 2. Term (18 KP) 3. Term (12 KP) 4. Term (12 KP) 5. Term (15 KP) & 6. Term (15 KP)

Prerequisites:

  • One year of professional experience and a Bachelor's degree in computer science or a related subject
  • Software development skills in scope and depth as acquired in professional practice in a computer science-related environment.

CS4337-KP12

Bio-Inspired Computing

6V+2P

CS4519-KP12

Intelligent Cooperative Agents

6V+2P

CS5076-KP12

Human-Centered Trustworthy AI

6V+2P

CS4171-KP12

Next Generation AI Technology

4V+4P

CS5995-KP30

Master Thesis AI
 

CS5071-KP12

6V+2P

 Next Generation AI Computing and Learning      
Equivalence check 1 Exam 2 Exams 1 Exams 1 Exam 1 Exam

More information on the study modules

Module guide as PDF