Master in Machine Learning, Systems and Control

Lund University, located in Lund, Sweden, is a historic institution founded in 1666. You'll find many advantages to studying here, including access to cutting-edge research facilities, a strong international profile with partner universities in 75 countries, and excellent conditions for scientific breakthroughs and innovations. As a student, you'll be part of a large and diverse community with 45,000 students, including 12,600 international students.

The university focuses on many subjects, including economics and management, engineering and technology, fine arts, music and theatre, humanities and theology, law, medicine, science, and social sciences. With 147 programs available, you can choose from a broad range of fields. Specifically, the university is home to two world-leading research facilities, the synchrotron radiation facility MAX IV and the European Spallation Source (ESS), which will be fully operational by the end of 2027.

As a student at Lund University, you'll have access to modern facilities and a unique location. The city of Lund offers a great quality of life, with opportunities to engage in cultural and social activities. For instance, the university's commitment to creating an international hub for research, education, and innovation provides a dynamic environment for you to grow and learn. You'll be able to take advantage of the university's strong industry partnerships and collaborations, making it an ideal place to study and launch your career.

The Master in Machine Learning, Systems and Control at Lund University is a 2-year program for students who want to work with advanced algorithms and data analysis. This Master's degree helps students prepare for a career in a field with growing demand for experts.

The curriculum includes courses like Introduction to Machine Learning, Systems and Control, Modeling and Learning from Data, and Image Analysis. Students also learn about Artificial Neural Networks and Deep Learning, and work on a Master's degree project. There are two tracks to choose from, each with its own set of compulsory and elective courses.

Graduates of this program can work as Machine Learning Engineers, Data Scientists, Control Systems Engineers, or Artificial Intelligence Researchers. They can find jobs in industries like manufacturing, healthcare, or energy, and work for companies that develop self-driving cars or optimize production systems.