Artificial Intelligence
Are you curious about how computers recognize patterns, understand language, or collaborate to solve problems? How AI systems adapt to new situations and make decisions? The Master's programme in Artificial Intelligence at the University of Groningen provides a solid foundation in both the theoretical and practical aspects of AI, preparing you to explore these questions in depth.
What you'll learn in the Artificial Intelligence Master
✔ Specialize in Machine Learning, Multi-Agent Systems, Robotics, AI Engineering, or Hybrid Intelligence
✔ Gain skills to develop trustworthy and scalable AI systems
✔ Learn to apply AI in diverse fields from autonomous robotics to intelligent software systems
✔ Study in an international environment focused on cutting-edge AI research
The Master's degree in Artificial Intelligence equips you with the knowledge and skills to design, build, and improve intelligent systems that interact with the world and with people. This international programme covers five core areas: Machine Learning, Multi-Agent Systems, Robotics, AI Engineering, and Hybrid Intelligence, allowing you to tailor your studies to your interests and career goals.
Throughout the programme, you will explore fundamental AI techniques alongside interdisciplinary topics, drawing from cognitive science, logic, statistics, and engineering. Whether you want to develop autonomous robots, create trustworthy AI that works in teams with humans, or build scalable AI software solutions, this programme provides a solid foundation supported by research-led teaching.
- ECTS transcript – If you are still completing your Bachelor’s degree, upload an ECTS transcript showing the subjects you have studied, your grades, and the number of credits awarded. Your Bachelor’s diploma must be uploaded later, as soon as you receive it.
- Bachelor’s diploma – If you have already graduated, upload your Bachelor’s diploma. A separate ECTS transcript is not required.
Note: Your Bachelor’s degree must be in the same or a related field as the Master’s programme you are applying for. The university will check whether you have completed enough relevant subjects and ECTS credits.
Important! View the full requirements on the university’s official website. Requirements may vary depending where you completed your bachelor education.
Applicants have to prove their English language skills either by an internationally recognized language test or upon previous studies. Usually English language skills can be proved by the following documents:
- TOEFL iBT*
- IELTS Academic
- A Cambridge English qualification
- Higher education degree completed in English
- Secondary education completed in English in a country or school qualification accepted by the university
- An English subject and grade on your secondary school leaving certificate that meet the university’s requirements
- Other
Important: Accepted methods and minimum results depend on study programme and the country where you completed your education. Check the official requirements for your chosen study programme.
*Use the Kastu promo code LTU1000102 when registering for TOEFL iBT and receive a 5% discount.
This Master's degree programme has a selection procedure; read the information below.
An academic Bachelor's degree in Artificial Intelligence or a related field including the following key subjects: Calculus, Linear Algebra, Probability & Statistics, Advanced Programming, Machine Learning, Advanced Logic, Neural Networks, Research Methodology Skills. The Admission Board determines whether the specific contents of courses meet the admission requirements of the Master programme.
The Artificial Intelligence Master programme is selective. Selection will be based on academic performance and motivation. After you have registered (before May 1st), your application will be reviewed by the Board of Admissions of the programme.
- Checklist including 1 reference letter (or contact of referee) and writing sample.
Curriculum Vitae
Job examples
- PhD research position
- Industrial Research & Development
- Software Engineer
- Data Analyst
