Master in Artificial Intelligence

Master’s programme in Artificial Intelligence

The Master of Artificial Intelligence (AI) is a two-year advanced programme organized by the Department of Advanced Computing Sciences. The focus of this programme is on the understanding, design and creation of intelligent systems in both software (e.g., computer games) and hardware (e.g., robotics). The term “Artificial Intelligence” dates back to 1956 when John McCarthy defined it as “the science and engineering of making intelligent machines”. Even though nowadays we are still far from building machines that can pass the famous Turing test (A. Turing, Mind, 59 (236), 1950 - a test to determine whether a machine shows human intelligence), Artificial Intelligence has become a very active domain in both academia and industry. It has achieved to build computer programmes and robots that learn from experience, recognize patterns in vast amounts of data, and reason strategically in complex decision-making situations. Artificial Intelligence is, therefore, an interdisciplinary field where domains such as Computer Science, Mathematics, Psychology, Biology, Philosophy and Economics meet.

The impact of the field of Artificial Intelligence is pertinent due to the key role it plays for technological applications that have become indispensable in society, including data mining (e.g., detection of fraudulent credit card transactions), automated trading software in real markets, intelligent network routing on the internet, robotic space exploration, sensor networks for medical applications and many more. In this master programme, you are trained to become an expert in Artificial Intelligence, capable of dealing with today's and future challenges.

The Faculty of Science and Engineering (FSE) is the incubator and home of several outstanding departments and prestigious institutions in education and research. Our scientists and scholars contribute to international education programmes at the bachelor's, master's and PhD levels and take part in innovative research in the fields of humanities, education, governance, sustainability, data science and natural science.

The Faculty of Science and Engineering includes the following Departments:

• University College Maastricht
• University College Venlo
• Maastricht Science Programme (MSP)
• Department of Data Science and Knowledge Engineering (SKE)
• Institute of Data Science (IDS)
• Maastricht Centre for Systems Biology (MaCSBio)
• Aachen-Maastricht Institute for Biobased Materials (AMIBM)
• Department of Biobased Materials (BBM)
• Business Engineering
• International Centre for Integrated Assessment and Sustainability (ICIS)
• Maastricht Graduate School of Governance (MGSoG) - UNU-MERIT
• Top Institute for Evidence Based Education Research (TIER)
• Foundation Programme (FP)