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Master's Programme in Engineering Mathematics

Education level CreditsSecond cycle 120 credits

Time2 years full time

Study locationVästerås

The programme will provide you with a broad and relevant knowledge of mathematics and its applications. This knowledge is in high demand since tomorrow’s technology depends on mathematical methods and calculations. The programme will give you knowledge and skills that will be useful to you in developing new technology, building a sustainable society or running your own successful businesses.

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Credits

120 credits

Education level

Second cycle

Study pace

full time

Study location

Västerås

Start

2025-09-01

Length

2 years

Teaching form

Normal teaching

Tutoring language

English

Application code

MDU-41907

Selection

Guaranteed Place

Specific requirements

A completed Bachelor's degree from an institution of higher education of three years or more, equivalent to 180 credits, of which at least 90 credits are within mathematics, natural science or engineering, including at least 7.5 credits within programming and at least 45 credits progressively specialized in mathematics/applied mathematics including probability theory and discrete mathematics. A TOEFL test result, with a minimum score of 575 with a TWE score of at least 4.5 (PBT) or 90 with a TWE score of at least 20 (iBT) or an IELTS test result with an overall band score of at least 6.5 and no band score below 5.5 or equivalent is required.

Masterexamen

Apply for autumn semester 2025, Västerås

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The Programme

The Master’s Programme in Engineering Mathematics is designed to equip students with the mathematical tools for developing tomorrow’s technology. You will have a broad and relevant knowledge of mathematical applications and methods that are useful both in private enterprise and in the academic world, among other areas. You will master mathematical methods with applications in statistics, information technology, computer science, energy and environmental engineering, robotics and automatic control engineering as well as optimisation.

The programme is carefully designed yet flexible, you can for example take a project course where you delve deeper into an interesting area. The programme will provide you with good theoretical knowledge and well-developed working methods in engineering. You will take courses in matrix theory, data analysis, numerical analysis, optimisation and algebra, all chosen to be applicable in modern engineering. Topics treated in courses in the programme include big data analysis, secure and reliable communication, Pagerank and mathematical modelling.

For your degree project you will have the opportunity to get in direct contact with development and research or to collaborate with a company.

Employment and Future Prospects

With your degree from the Master’s Programme in Engineering Mathematics, you will have many opportunities for a good career. In combination with the technological skills acquired from previous studies, you will have the expertise necessary to develop and create new technological solutions. The development of future technologies is dependent on and based on the use of mathematical methods and calculations.

On completion of the programme you can, for example, work with development or research in your own business or a Swedish or multinational company that uses mathematical or statistical methods, calculations and algorithms in its technological solutions. There will also be a good opportunity after completing the programme to continue as a doctoral student at Mälardalen University or at another university either in Sweden or abroad.

Specialists in engineering and mathematics are in high demand on the modern labour market, within many areas and companies, for example communication technology, information technology, internet and computers, robotics, banks and insurance companies, engineering and consulting firms, construction companies, medical companies and energy companies, as well as within the public sector when it comes to medicine, health care and education, among others.

Application and admission

Read more about how and when to apply for the programme.

Application and admission

Programme structure and content

Here you can see how the program’s content is divided into different subjects and which courses you will take each year of the program. If you study full-time, you will take 30 credits (hp) per semester. Some courses within a program may be mandatory, while others may be elective.

This is a preliminary content of the program. Courses and subjects may be subject to change.

  • Mathematics/Applied Mathematics

    68.0%

  • Elective

    31.0%

    Courses within the programme

    Mathematics/Applied Mathematics:

    • Fourier Analysis, 7.5 credits
    • Multivariate Statistics, 7.5 credits
    • Applied Matrix Analysis, 7.5 credits
    • Discrete Mathematics, a Second Course, 7.5 creditts
    • Mathematics of Internet, 7.5 credits

    For two-year Master's Degree (120 credits):

    • Complexity Theory, 7.5 credits
    • Simulation, 7.5 credits

    Elective

    Mathematics/Applied Mathematics:

    • Foundations of Real Analysis, 7.5 credits
    • Graph Theory, Networks and Applications, 7.5 credits
    • Numerical Methods with MATLAB, 7.5 credits
    • Operations Research, 7.5 credits
    • Project in Mathematics, 7.5 credits

    For one-year Master's Degree (60 credits)

    • Degree Project in Mathematics (60-credit Master's), 15 credits

    Elective

    • Complexity Theory, 7.5 credits
    • Simulation, 7.5 credits

    Mathematics/Applied Mathematics:

    • Numerical Linear Algebra, 7.5 credits
    • Data Analysis, Clustering and Classification, 7.5 credits
    • Abstract Algebra, 7.5 credits
    • Optimisation, 7.5 credits
    • Degree Project in Mathematics, 30 credits

    Contact us

    Malin Lundin

    Can answer questions about prior knowledge, entry requirements and the application procedure.

    Phone number +4621107050 E-mail address malin.lundin@mdu.se
    Christopher Engström

    Can answer questions about the set-up and content of the programme.

    Phone number +4621101345 E-mail address christopher.engstrom@mdu.se