Sciences (Mathematics Specialisation) Lund University

Overview

The Sciences (Mathematics Specialisation) programme from Lund University is structured in a highly flexible manner, especially designed to give students solid theoretical knowledge in mathematics at the same time as providing possibilities for each student to pursue his/her own educational profile according to interests and career aspirations.

A vast variety of courses in mathematics, statistics and numerical analysis are available within the programme together with courses from all other science areas, economy and finance, engineering as well as humanities and social sciences. 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. For instance, courses in mathematical statistics and numerical analysis can be combined with courses in financial mathematics and economics. Another usual path is combining studies in mathematics and physics. Each direction implies a different combination of courses. Predefined recommended course chains suitable for the different directions are available and study counseling is provided throughout the entire programme.

Career prospects

The growth of the information society has led to an increased need for understanding and predicting the real world. There is an increasing demand for people who can structure and analyse the growing amount of produced and stored data. 

A thorough mathematical education provides the tools for such tasks. Mathematics is inherent in a manifold of technical and scientific achievements. As an example we can mention the notion of a differential equation, which so far has been a most adequate tool for describing dynamical phenomena. 

The subject of mathematics plays a special role as an exact science with emphasis on quantitative aspects. Today’s advancements in science and technology, medicine and pharmaco-logy, economics and finance would not have been possible without mathematics.