Engineering Mathematics and Computational Science, M.Sc.

  • Application Deadline
  • 24 months
  • Tuition
    Tuition (Year)
    Tuition (Year)
  • English (take IELTS)
Nowadays, one can without hesitation, state that there is mathematics in virtually everything. There is mathematics behind mobile phones, cars and oil tankers. Internet is built on mathematics and Google is based on probability theory. Cryptology and secure data transfer are based on classical number theory. The Engineering Mathematics and Computational Science degree is offered at the Chalmers University of Technology.
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding


New mathematical methods are necessary for understanding modern physics and chemistry, e.g. advanced mathematical and statistical models are required in climate science. The Engineering Mathematics and Computational Science programme is offered by Chalmers University of Technology.

Bioinformatics has quickly grown to become one of the big areas of applied mathematics. A continuing development of mathematical methods is necessary in order to deal with the huge amounts of information generated by e.g. gene mapping.

Why apply

The Master's program provides a solid base in mathematics and/or mathematical statistics or computational science. It is also possible to choose a direction towards bioinformatics. We also offer a number of courses in financial mathematics.

On completion of the Master's program, you will be able to not only master a given area of engineering, but also take part in the development of mathematical models and algorithms.


Up to date, roughly half of our ex-students have stayed in academia, i.e.\ as PhD students, in Sweden as well as abroad. Others have become employed in industry, for example in the automotive industry and the pharmaceutical industry or as consultants for industry.

Research connections

Research in mathematical sciences, in Sweden and elsewhere, is very intense. Mathematical research in on demand from an increasing number of sectors and at the same time mathematics continues to flourish as a research are in its own right.

These directions of research are not in opposition to each other. On the contrary, they enrich and inspire each other. It is a fact that many of the mathematical results that are of very concrete use today, were developed by pure mathematical curiosity, sometimes decades or even centuries ago.

Swedish mathematical research is by tradition strong. In particular this is true also for the Department of Mathematical Sciences at Chalmers and Gothenburg University. The Department is joint for the two universities, which helps to give it the size needed to create a stimulating environment, socially and scientifically.

Programme Structure

First Year

Autumn Term Study period 1

Elective courses

  • Fourier analysis, Examination
  • Functional analysis, Examination
  • Mechanics of fluids, Examination
  • Mechanics of solids, Examination
  • Stochastic data processing and simulation, Project
  • Stochastic calculus, Examination

Autumn Term Study period 2

Compulsory courses

  • Nonlinear optimisation, Laboratory
  • Nonlinear optimisation, Examination
Elective courses
  • Systems biology, Examination
  • Foundations of probability theory, Examination
  • Basic stochastic processes, Examination
  • Linear statistical models, Examination
  • Financial risk, Examination
  • Wavelet analysis, Examination

Spring Term Study period 3

Compulsory courses

  • Statistical inference, Examination
  • Partial differential equations, first course, Examination
Elective courses
  • Bioinformatics, Examination
  • Large scale optimization, Examination

Spring Term Study period 4

Compulsory courses

  • Ordinary differential equations and mathematical modelling, Examination
Elective courses
  • Options and mathematics, Examination
  • Linear and integer optimization with applications, Examination
  • Weak Convergence, Examination
  • Statistical image analysis, Examination
  • Financial time series, Examination
  • Financial time series, part B, Project
  • Financial time series, part A, Project

Second Year

Autumn Term Study period 1

Elective courses

  • Stochastic optimization algorithms, Examination
  • Artificial neural networks, Written and oral assignments
  • Biochemistry and molecular biology, Examination
  • Topics in engineering mathematics, Examination
  • Computer intensive statistical methods, Project
  • Computer intensive statistical methods, Examination
  • Individual project in mathematics and mathematical statistics, Written and oral assignments
  • Numerical linear algebra, Examination
  • Integration theory, Examination

Autumn Term Study period 2

Compulsory courses

  • Project course in mathematical and statistical modelling., Examination
Elective courses
  • Computational biology 1, Written and oral assignments
  • Computational fluid dynamics (CFD), Examination
  • Scientific visualization, Written and oral assignments
  • Statistical consulting, Examination
  • Financial derivatives and stochastic analysis, Examination
  • Partial differential equations, project course, Examination

Spring Term Study period 3

Elective courses

  • Algebra, Examination
  • Computational electromagnetics, Oral examination
  • Ordinary differential equations and dynamical systems, Examination
  • Ordinary differential equations and dynamical systems, Laboratory
  • Experimental design, Examination
  • Multivariate statistical analysis, Examination

Spring Term Study period 4

Elective courses

  • Turbulence modeling, Examination
  • Linear mixed models for longitudinal data, Examination
  • Weak Convergence, Examination
  • Dynamical systems, Written and oral assignments
  • Partial differential equations - second course, Examination
  • High performance computing, Examination
Diploma thesis
  • Master's thesis in Mathematics, Diploma thesis
  • Master's thesis in Mathematics, part A, Diploma thesis
  • Master's thesis in Mathematics, part B, Diploma thesis


Engineering Mathematics and Computational Science turns to you who wants to sharpen your engineering studies with state-of-the-art mathematical competence as well as to you who with a keen curiosity-driven mathematical interest. Of course, it also turns to you who have realised that deep mathematical knowledge is on demand in an ever increasing number of areas.

Detailed Programme Facts

  • Full-time duration 24 months
  • Study intensity Full-time
  • Credits
    120 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus
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Academic Requirements

Bachelor´s degree (or the equivalent) with aMajor in Engineering Physics, Physics, Mathematics or an Engineering Discipline.

Prerequisites:Mathematics (at least 37.5 cr.) (including Linear algebra, Numerical analysis, Single variable analysis, Multivariable analysis and Mathematical statistics) and Scientific computing.

English Language Proficiency

The most common and important scores that are accepted are

  • IELTS (academic training), 6.5 (with no part of the test below 5.5)
  • TOEFL (Internet based): 90 (with a minimum of 20 on the written part)
  • TOEFL (paper based): 575 (with a minimum of 4.5 on the written part)

Tuition Fee Per Year

  • EUR 14755 International
  • Free EU/EEA

Non-EEA: 140 000 SEK/academic year

*EU/EEA Citizens are not required to pay fees.


StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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