About the subject
Get a solid education in one of the oldest sciences, with new applications in a growing number of areas in natural and social sciences and business. Learn how to understand and solve problems by the use of proofs and logical thinking.
Here you can study various areas of mathematics like algebra, geometry, analysis and logic but also applied mathematics. One large and growing application is within mathematical statistics, the new data science and the handling of “Big Data”.
Get deeper insights in areas like cryptography and the mathematical analysis that helps building up models in physics, chemistry, biology, economy etc.
You will get training in how to draw up and modify problems and to solve them with rigorous mathematical arguments. An education in mathematics will give you an understanding of the structure behind all the usable formulas and equations.
Mathematics and mathematical statistics can be studied at both first cycle and second cycle level. In second cycle studies we also offer some courses in insurance mathematics
It is a great advantage to combine studies in mathematics/mathematical statistics with courses in computer science, many offered by the same department. In that way you will master the most modern tools and get training in the handling and analysis of real data.
You can also combine your studies with courses in science, economy or other areas of interest.
If you would like to study a mathematical area in greater depth and get into research, there are PhD studies given in Mathematics, Mathematical Statistics and Insurance Mathematics.
Career opportunities
Mathematical education is applicable in all fields where advanced mathematical methods are used. Examples include numerical calculations in technology and natural sciences, estimation of probability, price setting in the financial sector, risk analysis and the development of algorithms used to ensure secure transfer of data and the development of machine learning algorithms. Alumni from the Department of Mathematics are employed in advanced positions in various parts of industry or in the academic sector.
Courses and programmes

Master's programme

Course at bachelor's level

Introductory Course in Mathematics, 7.5 credits
Course, Bachelor's level, Distance, no compulsory meetings, Mathematics

Numerical Analysis, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Mathematical Methods for Economists, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics II  Analysis, part B, 7.5 credits
Course, Bachelor's level, Distance, no compulsory meetings, Mathematics

Mathematics II  Analysis, part B, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics II  Linear Algebra, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics III  Foundations of Analysis, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Mathematical modelling I, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics III  Complex Analysis, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics III  Logic, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Challenging mathematics, 7.5 credits
Course, Bachelor's level, Distance, no compulsory meetings, Mathematics

Mathematics, Degree Project, 15 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics II  Algebra and Combinatorics, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

The Historical Development of Classical Mathematics, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Geometry and Programming for Teachers in Mathematics, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics for the Natural Sciences II, 15 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics for the Natural Sciences I, 15 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics I, 30 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics I, 30 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics I, 30 credits
Course, Bachelor's level, Distance, Mathematics

Mathematics I, 30 credits
Course, Bachelor's level, Distance, Mathematics

Mathematics II  Analysis, part A, 7.5 credits
Course, Bachelor's level, On campus, Mathematics

Mathematics II  Analysis, part A, 7.5 credits
Course, Bachelor's level, Distance, no compulsory meetings, Mathematics

Mathematics II  Linear Algebra, 7.5 credits
Course, Bachelor's level, Distance, no compulsory meetings, Mathematics

Mathematics II  Algebra and Combinatorics, 7.5 credits
Course, Bachelor's level, Distance, no compulsory meetings, Mathematics


Course at master's level

Ordinary Differential Equations, 7.5 credits
Course, Master's level, On campus, Mathematics

Elementary Differential Geometry, 7.5 credits
Course, Master's level, On campus, Mathematics

Number Theory, 7.5 credits
Course, Master's level, On campus, Mathematics

Representation Theory for Finite Groups, 7.5 credits
Course, Master's level, On campus, Mathematics

Mathematics, Degree Project, 30 credits
Course, Master's level, On campus, Mathematics

Mathematics of cryptography, 7.5 credits
Course, Master's level, On campus, Mathematics

Algebraic Topology, 7.5 credits
Course, Master's level, On campus, Mathematics

Computer algebra, 7.5 credits
Course, Master's level, On campus, Mathematics

Advanced Complex Analysis, 7.5 credits
Course, Master's level, On campus, Mathematics

Degree
Research
Research is conducted in a wide variety of subfields of pure and applied mathematics as well as statistics. Some of our researchers are active in abstract subjects like logic and topology while others work in areas of immediate societal interest such as climate modeling and insurance. Some mathematical disciplines, including spectral theory, random processes and number theory, are driven both by mathematical interest and by potential applications in theoretical physics, analysis of financial markets, and cyber security.