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Computer simulations of complex problems and management of large data sets (big data) play a key role in today’s scientific studies and engineering design. This programme let you broaden and deepen your knowledge of natural science or technology, with a specialisation in computers, large data sets, computer simulations and mathematical modeling. You will learn to apply computational methods, programs and software, as well as mathematical and statistical models, within your sphere of interest.

WHY THIS PROGRAMME?

The Master’s Programme in Computational Science dives into a multidisciplinary field where issues in areas such as chemistry, biology, physics, finance and geosciences are studied, using advanced computers and software to perform numerical simulations based on mathematical and statistical methods.

Today, numerical simulations on computers based on mathematical and statistical models, plays a key roll in natural sciences and technology. Experiments and simulations produce enormous data sets and methods for drawing conclusions from these becomes more and more common. It has become a new way to search for knowledge and to create new products. In industry, as well as in research, computer simulation has become an important tool. In some cases as a complement to experiments and in some cases there is no possibility to do experiments and you are only referred to computer simulations. For industry, computer simulations are attractive as you can do these quicker and for a smaller cost, it is more cost efficient.

During the programme you can expect to:

  • choose between five recommended course tracks or tailor your own track
  • learn to apply computational methods, models and software in the application area you are interested in

Large or small, at the macro or micro level – various phenomena are today studied on a computer screen. To be able to use, develop and apply computer simulations within a certain subject area requires not only a solid background in the actual subject field such as chemistry or physics, but also computational methods, advanced computers, software, algorithms, programming, as well as statistical and mathematical models. The Master’s Programme in Computational Science provides you with this knowledge.

You can choose between five recommended tracks of courses or you can tailor your own track depending on your educational background and areas of interest with regard to applications in science. The five recommended study tracks are:

  • Numerical and mathematical modeling
  • Computational physics
  • Computational chemistry
  • Computational finance
  • Data engineering

Student profile
You have a strong foundation in mathematics from your Bachelor’s education and an interest in combining that with computer programming to solve problems in science and engineering. You might even have an interest in a specific area where scientific simulations are useful such as Physics, Chemistry, Engineering or Economics.

You want an educational experience that give you an opportunity to apply your knowledge in realistic cases. You enjoy problem solving and would like to improve your mathematical and programming skills to solve problems in an application area of science and technology.

A future PhD education is definitely a possibility you have thought about and you would value an opportunity to get in closer contact with current research. You also know that experts in Computational Science are in high demand at R&D in industry so starting to work right after graduation is also something you might be considering.

Related programmes
Computer Science
Mathematics

DEGREE

The programme leads to a Master of Science (120 credits) with Computational Science as the main field of study.

 

Requirements:

Academic requirements
A Bachelor’s degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. The main field of study must be within science, engineering, mathematics or computer science.
Also required is:

  • 30 credits in mathematics; and
  • 5 credits in numerical methods (numerical analysis or scientific computing); and
  • 5 credits in programming.

Language requirements
All applicants need to verify English language proficiency that corresponds to English studies at upper secondary (high school) level in Sweden (“English 6”). This can be done in a number of ways, including through an internationally recognised test such as TOEFL or IELTS, or through previous upper secondary (high school) or university studies.
The minimum test scores are:

  • IELTS: an overall mark of 6.5 and no section below 5.5
  • TOEFL: Paper-based: Score of 4.5 (scale 1–6) in written test and a total score of 575. Internet-based: Score of 20 (scale 0–30) in written test and a total score of 90
  • Cambridge: CAE, CPE

More information about English language requirements

Selection: Students are selected based on:

  • a total appraisal of quantity and quality of previous university studies; and
  • a statement of purpose (1 page).

Tuition fee-paying students and non-paying students are admitted on the same grounds but in different selection groups.

Fees:

If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees. Fees cover application and tuition only and do not cover accommodation, academic literature or the general cost of living. Read more about fees.

Application Fee: SEK 900

Tuition fee, first semester: SEK 72500

Tuition fee, total: SEK 290000

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