Mathematics, Statistics and Data Science, MSc

Programme description

You begin by building a shared foundation in areas like high-performance computing, computer programming, statistical inference and nonlinear optimisation. Following this foundation, you can branch into a number of specialisations, covering theoretical and computational mathematics, computational biology, mathematical finance, machine learning and more. It is also possible to build your own specialisation, choosing courses after your own interests. For example, you could combine mathematical biology with big data, to create a coherent, individually tailored pathway.

In the second year, you will complete a project course working on real modelling problems together with an industrial partner. This also covers innovation, intellectual property, ethics and commercialisation, and includes close contact with the companies involved. Chalmers has an extensive network of connections with relevant organisations in the region and beyond, such as the Volvo Group, SKF and Ericsson. Thesis projects are also frequently carried out with industry partners, and often students will publish their work in peer-reviewed journals.

One of the key strengths of the programme is its size. It is delivered by the Department of Mathematical Sciences, a joint organisation between Chalmers and the University of Gothenburg, making it the largest mathematics department in all of Sweden. That scale gives you access to an unusually wide range of courses, research environments, and a community of mathematicians and researchers working across a very broad set of fields.

Job opportunities

Advanced mathematical expertise is essential in a world driven by technology, data, and increasingly complex systems. This programme provides a strong foundation in mathematics, statistics, and computational science, preparing graduates to analyse, model, and solve challenging problems in industry, research, and society.

Depending on their specialisation, graduates may work with computational mathematics and scientific computing, mathematical modelling and simulation in engineering, statistical analysis in medicine and public health, quantitative finance, bioinformatics, optimisation and logistics, or data-driven decision making.

Career opportunities exist in consulting, technology-intensive industries, the financial sector, pharmaceutical and biotech companies, healthcare analytics, government agencies, and research organisations. The programme also provides excellent preparation for doctoral studies in mathematics, applied mathematics, statistics, and related disciplines.

Research

Mathematical research at Chalmers is anchored across three main divisions. These are algebra and geometry, applied mathematics and statistics, and analysis and probability theory. Together, these cover the full breadth of the field, spanning computational mathematics, data science, and mathematical biology to name just a few areas.

There are several research centres that are also particularly relevant, including the Chalmers Center for Computational Science and Engineering. This includes infrastructure including CPU and GPU clusters for research into AI and machine learning. The Fraunhofer-Chalmers Research Center for Industrial Mathematics, meanwhile, works with applied mathematical solutions to real engineering and industrial problems in areas like paper and packaging, electronics and life sciences.

You will encounter this research directly through advanced courses, project work, and in your thesis, often working alongside teaching staff on real problems at the frontier of the field.

Requirements

Bachelor's degree in: Science, Engineering, Technology

Prerequisites: Mathematics (at least 37.5 cr. including Linear Algebra, Multivariable Analysis, Mathematical Statistics), Programming (e.g. Python/Matlab/R)

English language requirements: Prove your English proficiency

How to apply