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, optimized 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 analyze 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 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 software, internet of things, telecommunication, energy and new materials.
A Master of Science in Machine Learning, Systems and Control provides students with a solid base for a career in both industry and academia and the necessary skills for both research and development in different areas of industry. The programme also provides a good foundation for PhD studies in the field. The surrounding region is home to a number of global brands such as Sony, Ericsson, Axis. Other companies with operations close to Lund University include Volvo, DB Schneider, Tetra Pak, and ARM Sweden. A large proportion of our engineering students start working with these companies directly after graduation or create their own startup company, sometimes with the help of Venture Lab business incubator. Within the near future, there will be two large-scale European and international research centres – ESS and MAX IV – offering even more exciting opportunities for our students.
A Bachelor’s degree in science, technology, engineering, mathematics (STEM) or equivalent. Completed courses in mathematics (linear algebra, calculus in one and several variables, transforms and linear filtering) of at least 30 credits/ECTS as well as one completed course in mathematical statistics, one in computer programming or computer science and one in control engineering. English 6.
The selection is based on academic qualifications.
English language requirements
Most of Lund University’s programmes require English Level 6 (unless otherwise stated under ‘Entry requirements’). This is the equivalent of an overall IELTS score of 6.5 or a TOEFL score of 90. There are several ways to prove your English language proficiency – check which proof is accepted at the University Admissions in Sweden website. All students must prove they meet English language requirements by the deadline, in order to be considered for admission.
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