The amount of available data in the world is exploding and advanced algorithms are used to extract information for use in different applications such as self-driving cars, optimised manufacturing, improved healthcare and more energy-efficient systems. The Master’s programme in Machine Learning, Systems and Control prepares students for a flexible future-proof career within this general area where advanced algorithms are used to analyse large datasets in a wide range of applications combining methods of statistical analysis, mathematics, signal processing, image analysis and control theory. Demand for experts with such knowledge is growing, meaning an optimistic job market for graduates.
The programme is a result of a collaboration between the departments of Mathematics, Automatic Control, Computer Science and Electrical and Information Technology at Lund University.
The Shanghai ranking (ARWU) ranks Lund University on place 17 among top universities in the world in the field Electrical and Electronic Engineering for the year 2018 and on place 49 in the field of Automatic Control. Lund University has excellent resources and can offer students the opportunity to learn from world-leading researchers. Research and education are closely linked, and the four involved departments have a long tradition of successful cooperation within education and research. All of our teachers have PhD’s or higher and are actively engaged in research.
You will have some freedom to choose courses fitting your personal interest and can choose between two tracks with slightly different compulsory courses and a set of elective courses facilitating a preference towards e.g. machine learning, control systems, image analysis, artificial intelligence, robotics. The courses included in the programme are kept to a high international standard. The programme features both theoretical and practical learning, as well as group assignments and presentations.
In addition to courses, all of our students undertake a research project for their Master’s thesis. The project can be done either in cooperation with industry or be of an academic nature and can be carried out either locally or abroad. Located next to the engineering faculty there is a lively science park, Ideon, with a long tradition of innovations within the software, internet of things, telecommunication, energy and new materials.