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.
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.