Statistics and Machine Learning, Master's Programme - First and main admission round

Education facts

Code: F7MML

Unleash the power of data and statistics to make the right decisions happen. The rapid development of information technologies has overwhelmed society with enormous volumes of information generated by large or complex systems from telecommunications, robotics, medicine, business and many other fields. This master’s programme meets the challenges of learning from these complex volumes by means of models and algorithms from machine learning, data mining and other computer-intensive statistical methods. By joining us, you will increase the efficiency and productivity of the systems and make them smarter and more autonomous. We integrate statistical modelling and analysis with machine learning, data mining and data management to give you unique skills. The programme focusses on modern methods from machine learning and database management that use the power of statistics to build efficient models and make reliable predictions and optimal decisions. You will gain deep theoretical knowledge as well as practical experience from extensive amounts of laboratory work. Depending on your interests, you will work towards your thesis at a company, a governmental institution or a research unit at LiU. There you can apply your knowledge to a real problem and meet people who use advanced data analytics in practice or you can go deeper into the research. There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex systems. Business, telecommunications, IT and medicine are just a few examples of areas where you will be wanted for advanced analytical positions. You will also be well prepared for an academic career, should you choose to continue into research and pursue PhD studies.

Entry requirements

Bachelor's degree equivalent to a Swedish Kandidatexamen in one of the following subject areas: -statistics -mathematics -applied mathematics -computer science -engineering or a similar degree Completed courses with passing grade in following subjects: - calculus - linear algebra - statistics - programming English corresponding to the level of English in Swedish upper secondary education (Engelska 6 or Engelska nivå 2) Exemption from Swedish

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Statistics and Machine Learning, Master's Programme - First and main admission round

  Linköping University

  Linköping

  Start date: 30 August 2027

  End date: 3 June 2029

  Pace of study: 100 %