Eligibility
Selection methods
Eligibility requirements
For further information on eligibility, please see
Admission criteria for Data-Centric Engineering
Admission
In this master's programme, you will learn about artificial intelligence and machine learning and how mathematics and statistics form their basis. This will enable you to understand data and modern modelling and analysis methods, such as deep neural networks, profoundly and apply them to problems with societal impact. The master's programme is based on blending applied mathematics with computer science and engineering.
In this master's programme, you will specialise in either Applied Mathematics, Computer Vision and Pattern Recognition or Data Science and Artificial Intelligence.