Master in Mathematical Statistics

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 Mathematical Statistics is a 2-year degree at Lund University in Sweden. It's for students who want to learn how to build models using data and understand random events. This expertise is in high demand in research and industry.

The curriculum includes probability theory, statistical theory, and methodology. You'll study mathematical statistics and choose courses in mathematics, numerical analysis, or other subjects like computer science. The degree project is a small-scale independent research assignment that can link to ongoing projects or research issues in companies.

After graduating, you can work as a Statistical Analyst, Data Scientist, Biostatistician, Risk Manager, or Researcher in fields like biology, medicine, environment, climate, and economics.