Study Master's in Machine Learning, Systems and Control

Course Highlights

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.

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.

Course Modules

• Year 1
• Year 2

Learning Structure

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.

Entry Requirements

• A 4-year Bachelor's degree in science, technology, engineer­ing, mathematics (STEM) or equivalent discipline.
• 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 Language Requirements

Documentary Evidence List

• Bachelor's Transcripts
• Degree Certificate
• English Test (IELTS/ TOEFL)
• Motivation Letter/ SOP
• 2 Recommendation Letters
• Updated CV/ Resume
• Work Experience Certificates (if study gap)
• Passport Copy

Study Gaps

For applicants with an academic or professional gap of up to 5 years, admission is generally considered acceptable. If the gap exceeds this period, applications may still be successful but will typically be assessed on a case-by-case basis.

To strengthen your profile, it is important to:

• Provide a clear explanation of how you spent the gap period (e.g., employment, further learning, personal responsibilities).
• Emphasize the skills and experiences you developed during this time that are relevant to the program.
• Demonstrate that your academic qualifications continue to meet the course entry requirements.