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2 Mathematics Master's Degree Programs in Sweden
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Linnaeus University
Master in Mathematics and Modeling. Specialization: Mathematical Statistics and Financial Mathematics
- Växjö, Sweden
Master degree
Full time
2 years
On-Campus
English
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.
Umeå University - Faculty of Science and Technology
Master in Mathematics
- Umeå, Sweden
Master degree
Full time
2 years
On-Campus
English
Do you want deepen and broaden your knowledge of mathematics? The Master's programme in Mathematics gives you a solid theoretical basis with connection to current research. After graduation, you can, for example, work as an analyst or programme developer or continue with doctoral education and invest in an academic career.
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Learn more about Mathematics Master's degree programs in Sweden
Studying mathematics at the Master's level in Sweden provides a deep dive into advanced mathematical theories and practices. This program focuses on both theoretical foundations and applied mathematics, preparing you for a variety of analytical roles in the global job market.
Through courses in fields like statistics, numerical analysis, and optimization, you’ll develop skills in data modeling, problem-solving, and statistical reasoning. Research projects are central to your studies, allowing you to engage with real-world issues and collaborate with industry partners. This environment fosters independence as you tackle complex problems and explore innovative solutions.
The robust mathematics community in Sweden emphasizes interdisciplinary collaboration, connecting you with other fields such as data science, engineering, and finance. Graduates often find themselves well-prepared for roles in academia, research institutions, or private industry, using their expertise to drive advancements in technology and data analysis.