Chalmers University of Technology

Mathematics, Statistics and Data Science (MSc)

Chalmers University of Technology

Faculty:Engineering Physics and Mathematics
Degree:Master
Field of Study:Mathematics and Statistics
Data Science, General
Course Based:Yes
Length:2 Year(s)
Cost per year:*
National: $27,575

Cost is an approximation for one year, converted from SEK.



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.

Prerequisites:

These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.

    To fulfil the general entry requirement for a master's programme at Chalmers (at advanced level/the second cycle), the prospective student must hold a degree that is equivalent to a Swedish Bachelor's degree (minimum 3 years, 180 Swedish higher education credits) in either Science, Engineering, Technology


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

    Additional Admission Requirements:
    • Letter(s) of Reference
    • Resume/Curriculum Vitae
    • Statement of Research Interests
    • Work Experience

    * We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

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    Modified on August 29, 2026

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