Mathematics: Specialised Course in Differential Geometry
Explore the geometric ideas that shape our understanding of space, motion, and gravity — from abstract manifolds to the mathematical framework underlying Einstein’s theory of relativity.
Start
Spring 2027
Level
Master's
Language
English
Place of study
Lund
Course code
MATM43
This course provides an introduction to modern differential geometry, with a particular emphasis on the theory that grew out of Riemann’s groundbreaking 1854 lecture in Göttingen. Riemann’s ideas generalised the classical geometry of surfaces and laid the foundations for what we now call Riemannian geometry — the study of curved spaces using analytic and geometric tools. His perspective continues to influence both mathematics and physics, especially in the formulation of Einstein’s general relativity.
In this course, you will explore how geometric structures describe curvature, distance, and motion on manifolds, and how these concepts connect to physical phenomena such as gravity. You will also gain insight into the importance of differential geometry as a tool in other areas of mathematics and physics.
Topics include
- Differentiable manifolds, their tangent spaces and tangent bundles.
- Riemannian metrics and their unique Levi-Civita connection.
- Geodesics and the important Riemann curvature tensor and it influence on the local geometry.
The course is alternativecompulsory within the Master’s programme in Mathematics at Lund University and is also available as a standalone course.
Teaching consists of lectures and seminars. You will work in small groups on a compulsory assignment, which you will present orally. The course balances theoretical development with problemsolving and discussion, giving you multiple opportunities to present your reasoning and engage with peers — skills essential for both academic and professional environments.
The assessment consists of an oral presentation of group assignment during the course and an oral examination at the end of the course.
This course prepares you for further studies in mathematics and physics, especially in areas such as general relativity and geometric analysis. Differential geometry is foundational in theoretical physics, where it underpins models of spacetime and gravitational phenomena. It also appears in data science and machine learning through manifoldbased methods, in robotics and computer graphics for understanding shape and movement, and in engineering and space science where precise geometric modelling is essential.
By completing the course, you will acquire conceptual and technical tools that are valuable both for academic research and for applied fields requiring advanced mathematical modelling and reasoning.
Entry requirements
For admission to the course, English 6/B as well as at least 90 credits, with at least 60 credits in mathematics are required, including knowledge corresponding to the courses MATB22 Linear Algebra 2, 7.5 credits, MATB23 Analysis in Several Variables 2, 7.5 credits, and MATM33 Differential Geometry, 7.5 credits.
Selection criteria
Seats are allocated according to: ECTS (HPAV): 100 %.
Tuition fees for non-EU/EEA citizens
Citizens of countries outside:
- The European Union (EU)
- The European Economic Area (EEA) and
- Switzerland
are required to pay tuition fees. You pay an instalment of the tuition fee in advance of each
semester.
Tuition fees, payments and exemptions
Full programme/course tuition fee: SEK 23,125
First payment: SEK 23,125
Note that you may also need to pay an application fee, or provide proof of exemption.
No tuition fees for citizens of the EU, EEA and Switzerland
There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.
A shared second home for mathematics
Matematikcentrum gathers students and researchers in mathematics, mathematical statistics, and numerical analysis and computational science. Along Sölvegatan, close to green spaces and the wider university area, you find a shared environment for everyone who uses mathematics as a common language. Research here has led to innovations and companies in areas such as optimisation, image analysis and software, with applications ranging from logistics to video analysis and mobile technology.
