Collaborate with the Department of Mathematics and Mathematical Statistics

Collaboration with secondary and upper secondary schools

To motivate, inspire, and foster interest in mathematics, the Department of Mathematics and Mathematical Statistics actively collaborates with primary and secondary school classes.

We offer university-level courses, such as Algebra, to high school students alongside their regular studies. Additionally, second-year high school students can join an after-school problem-solving course to further enhance their mathematical thinking through engaging challenges.

We also provide inspirational lectures, workshops, and guidance for high school students working on their final projects.

For more information, contact Catarina Rudälv.

Opportunities for Degree Projects and Student Projects

Degree Projects and Student Projects
The Department manages the Industrial Engineering (IE) programme with three specializations: Risk Management, Data Science, and Logistics/Optimization. Each year, students require 30-50 thesis projects (30 credits) and 15-30 shorter projects. We strongly encourage collaboration with companies, authorities, and organizations.

Students in the Mathematics and Mathematical Statistics programme also complete theses (15 or 30 credits), with excellent opportunities for external partnerships.

For project proposals, contact Markus Ådahl (IE programme) or Mats Bodin (thesis coordination).

Engaging Lectures and Seminars for the Public

Sharing knowledge about mathematics and mathematical statistics with the public is a vital and important mission for the department. Our seminars are generally open to everyone and aim to make these subjects more accessible and engaging.

If you would like us to organize a popular science lecture, you are warmly welcome to reach out directly to one of our teachers or researchers. Alternatively, you can contact Peter Anton, our director of studies, for assistance in coordinating such events.

Research collaborations with the business sector

Mathematics and mathematical statistics are essential for a wide range of applications. Our collaborations range from large nationally funded projects (e.g., with Volvo Trucks, SKF, and Region Ostrobothnia in Finland) to consultancy assignments (e.g., with Västerbotten County Council and Konftel) and contract training (e.g., with Boliden, GE Healthcare, and Element 6).

For research collaboration, contact Patrik Rydén (collaboration manager) or Peter Anton (consultancy and training), or reach out directly to our research leaders.