11 Best Statistics in Sweden for 2024

Analyze data and work close to leaders! The program is interdisciplinary and collaborates with businesses and organizations to develop your ability to solve real problems through appropriate economic models and methods.

The program focuses on how to draw smart conclusions from a large amount of data to make well-informed decisions. In today's society, data is generated with great variety, in enormous amounts and at high speed. This data is becoming increasingly complex. We are constantly connected with computers and smartphones, we are surrounded by cameras and sensors that monitor and measure.

Hone your analytical powers and deepen your knowledge of mathematics! Umeå University offers a two-year Master's programme in Mathematics with a close connection to the mathematical research groups at the university. The programme will equip you with a solid theoretical foundation for pursuing careers in research and development, be it in government, finance, the tech industry or academia.

Hone your analytical powers and deepen your knowledge of mathematics! Umeå University offers a two-year Master's programme in Mathematics with a close connection to the mathematical research groups at the university. The programme will equip you with a solid theoretical foundation for pursuing careers in research and development, be it in government, finance, the tech industry or academia.

The Master's program in statistics provides in-depth and broad theoretical knowledge, focused on applications and practical usage of statistical theory and methodology. It prepares you to take on an essential role in statistical modeling and design, and for making your own methodological contributions. Would you like to do research in statistics? Then this program is set up for you!

The master's program in Biostatistics and Data Science offers a unique combination of biostatistics and data science. Students with backgrounds in mathematics, statistics, computer science, or related disciplines, are provided with the skills to solve problems in biology, medicine, and public health.

The Master of Science in Social Scientific Data Analysis will prepare you to become a professional researcher/social scientific data analyst with a specialisation on the research process and research methodology. Coursework involves extensive and intensive training in the process of conducting social research, research design, methodology, qualitative and quantitative methods (students are taught to programme using state-of-the-art statistical software ’R’), as well as applied theory, theory building, and a range of interdisciplinary theories. As a graduate, you will be well suited for two complementary job markets: as data analysts, researchers, and research project managers within the private and public spheres, and civil society, as well as PhD candidateships within academia.

Unleash the power of data and statistics to make the right decisions happen. We integrate statistical modeling and analysis with machine learning, data mining, and data management to give you unique skills.

This program will suit anyone who is interested in mathematics and wants to apply his or her skills to problem-solving and for creating new mathematical models. It also gives you the possibility to start an academic career. In Mathematical Statistics and Financial Mathematics, you study courses in mathematics but you also train stochastic thinking and statistic skills. It contains courses in e.g. probability theory, stochastic analysis, insurance mathematics, and financial modeling.

The joint master’s programme in Mathematics is hosted by world-leading experts and research groups at KTH and Stockholm University. Students specialise in their desired areas of mathematics while acquiring essential skills in problem-solving and logical reasoning. Graduates become industrial mathematicians, often data analysts, financial analysts or within software engineering, or go on to PhD studies at prominent institutions.

This is an academic programme designed for students with a strong interest in mathematics, mathematical statistics and scientific computing. Flexibility and individual adaptation are keywords. A vast variety of courses in mathematics, statistics and numerical analysis are available within the programme and can be combined with courses from all other science areas, economics and finance, engineering, humanities and social sciences available at our university or within an exchange programme with other universities. For students with a strong interest in pure mathematics, the programme offers a path of courses at a higher theoretical level that can be continued at Master’s and even further at PhD level. For those students interested in more applied areas, there is a high degree of flexibility in choosing course combinations suitable for certain professions.