Machine Learning, Systems and Control

Entry requirements

See website Machine Learning, Systems and Control - Master's Programme | Lund University

Months of entry

September

Course content

The Master’s in Machine Learning, Systems, and Control prepares students for careers in the growing field of data analysis, where advanced algorithms are used in applications like self-driving cars, optimized manufacturing, healthcare, and energy-efficient systems. The programme combines methods from statistical analysis, mathematics, signal processing, image analysis, and control theory, equipping graduates with in-demand skills for a wide range of industries.

The programme is a collaboration between Lund University's departments of Mathematics, Automatic Control, Computer Science, and Electrical and Information Technology. Lund University is highly ranked for its research in Electrical Engineering and Automatic Control, providing students access to world-leading researchers.

Students can tailor their education with two tracks and a variety of electives in areas like machine learning, AI, robotics, and control systems. The programme includes both theoretical and practical learning, with group assignments and presentations. Students also complete a research project, which can be done in collaboration with industry or academia, locally or internationally.

Graduates will be well-prepared for a future-proof career in a rapidly growing job market.