Department of Mathematics and Systems Analysis
Department of Mathematics and Systems Analysis
Our main research areas are algebra and discrete mathematics, analysis, applied mathematics and mechanics, stochastics and statistics, and systems analysis and operations research. We offer major and minor studies at both bachelor's and master's levels and provide doctoral research training. Our graduates have been recruited by universities, research institutes, governmental agencies as well as companies in the financial, energy and transportation sectors.
For full information on the department, visit:
Our research groups:
Research groups working on algebra and discrete mathematics
Research groups working on mathematical analysis
Research groups working on applied mathematics and mechanics
Research groups working on stochastics and statistics
Research groups working on systems and operations research.
News
Make May the month of movement!
Take part in events on campus and make sustainable mobility part of your working or study day.
1 in 4 mental health patients hurt by wording in electronic health records, finds study
Errors, disrespectful language and information perceived as unnecessary in electronic health records can feel offensive to patients
Researchers measure energy below a zeptojoule–enough for a red blood cell to move a nanometer
A new method for measuring incredibly miniscule amounts of energy – less than a trillionth of a billionth of a joule – could give quantum computing and the hunt for dark matter a boost, while paving the way for counting individual photons.
Mikko Möttönen selected as finalist for the European Inventor Award 2026
Möttönen is a finalist in the ‘Research’ category for developing an ultrasensitive cryogenic microwave sensor to diagnose interference in quantum computers.Events
CS Special Seminar: Leo Leppänen "Investigating students' LLM usage and its effects"
This talk is arranged at the Department of Computer Science.
2D Day: Experimental and Theoretical Research on 2D Quantum Materials and Related Systems
Quantum experts discuss both theoretical and experimental advances in 2D quantum materials on May 19.
Reproducibility and Open Science Practices in Machine Learning // 20.May.2026
What is reproducibility and why do we need to care about it in machine learning research? What are the best practices for sharing machine learning models in your research? Join us for this one day event!
