BSc Artificial Intelligence

At the University of Groningen, learning Artificial Intelligence goes far beyond lectures and theory. From early on, you are encouraged to learn by doing — experimenting with intelligent systems, working on real problems, and engaging with active research environments. Through hands-on projects, research-driven teaching, and access to specialised Artificial Intelligence facilities, you gradually build the practical skills needed to apply AI confidently in real-world settings. As you progress, your learning becomes increasingly interactive and research-focused, helping you understand not just how AI works, but how it is developed, tested, and improved in practice:

• Research-led teaching within the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, where Artificial Intelligence students learn in an environment shaped by ongoing research in machine learning, algorithms, and intelligent systems

• Hands-on project work throughout the programme, where you collaborate with other students to design, implement, and evaluate Artificial Intelligence models and systems

• Exposure to robotics and interactive systems through university research laboratories, including environments where machine learning, perception, and human-robot interaction are actively studied

• Use of programming and data-driven tools within coursework, allowing you to apply Artificial Intelligence techniques to realistic datasets and problem scenarios

• Participation in Artificial Intelligence seminars, workshops, and interdisciplinary initiatives, helping you connect theory with emerging applications and ethical considerations

• Access to extensive university learning resources and libraries, supporting both technical study and independent research as you prepare for your final-year Bachelor’s project

Graduating from the Artificial Intelligence programme at the University of Groningen opens doors to a wide range of career paths where technology meets real-world problem-solving. The programme equips you with strong analytical thinking, programming skills, and an understanding of intelligent systems, which means graduates often step into roles such as Data Scientist, Machine Learning Engineer, Artificial Intelligence Specialist, or Software Developer across technology, healthcare, finance, and research-driven organisations:

• Career guidance and employability support: The University of Groningen provides dedicated career services that help students translate their academic skills into real job opportunities. This includes career counselling, CV and interview workshops, and support in identifying internships, graduate roles, and employer expectations.

• Graduate outcomes and employability: The broad and interdisciplinary nature of the Artificial Intelligence degree makes graduates highly adaptable. Many alumni go on to work in both Dutch and international companies, while others use the degree as a stepping stone into more specialised roles through further study.

• Strong research and industry exposure: Being taught within a research-led environment means you benefit from close links between education and innovation. Through institutes such as the Bernoulli Institute, students gain exposure to how Artificial Intelligence is developed and applied in real research and industry-related contexts.

• Long-term value of the degree: A Bachelor’s degree from the University of Groningen is internationally recognised and aligned with European higher education standards. This gives graduates flexibility — whether they wish to work in Europe, move into emerging global tech hubs, or continue their academic journey.

Further Academic Progression:
After completing the Bachelor’s in Artificial Intelligence, many students choose to continue their studies with a Master’s degree in Artificial Intelligence, Data Science, Computer Science, or a related field, either at the University of Groningen or at other leading universities across Europe. This progression allows students to specialise further, move into advanced research areas such as deep learning or robotics, or prepare for doctoral study if they are interested in academic or research careers.