Computational Science – (M.Sc.)

Contents

The multidisciplinary character of computational science is reflected in the contents of the Master Programme in Computational Science.

The courses provide knowledge of:

• Advanced computer systems,
• Software and programming;
• Numerical and statistical computational methods
• Mathematical and statistical models in for example physics, chemistry,
• biology or geosciences.

Some of the characteristic courses of the programme are:

• Computational Physics
• High Performance Computing and Programming;
• Optimization
• Programming of Parallel Computers
• Scientific Visualization

The precise extent of each component will depend on individual selections.
Through the wide range of elective courses the programme can be tailormade,
taking into account each individual student´s educational background and areas of interest with regard to applications in science. The first course in the program is a bridging course in scientific computing, serving as a bridge between the program and your previous education. In general, the two-year programme gives a total of 120 credits, which are distributed in the following way over different areas of study (with individual variations):

Year 1

Courses in scientific computing (various aspects of numerical analysis
and programming for highperformance computing) 30 credits
Data-Intensive Statistics and Data-Mining 10 credits
Courses in some of the areas of chemistry, physics, biology, geosciences, mathematics or computer science 20 credits

Year 2

Courses in scientific computing (eligible courses, e.g. Scientific Visualization and
Project Course in Applied Scientific Computing) 15 credits
Courses in some of the areas of chemistry, physics, biology,
geosciences, mathematics or computer science 15 credits
Master thesis 30 credits

Uppsala University is an internationally highly renowned research institution.Many groups at the university perform leading research in areas that contribute to the programme. The lecturers are active researchers in world-class groups in e.g. Materials Physics, Molecular Biology and Scientific Computing. They contribute international research contacts at the highest level, opening possibilities for e.g. MSc thesis projects at leading institutions abroad.

The instruction in the Master Programme in Computational Science presumes a high degree of independent student activity. In addition to attending lectures and tutorials, you are expected to work on your own or in small groups with various kinds of projects and exercises.

Some courses consist of larger projects. During the final term you work full time on your individual master projects.
Various examination methods are used: written or oral exams, labs, project reports and presentations.

The use of computer simulation as a tool is increasing in industry. This is true especially in fields where experiments are too expensive, dangerous or even impossible to perform. Important examples can be found in the environmental industry or in the energy field. Furthermore, having completed this programme, you will have gained multidisciplinary competence, combining general knowledge in computer simulation and mathematical modeling with skills in using modern computational tools, and the knowledge of a selected field of science. This is a powerful combination and the demand for that type of expertise will increase within a ten-year period. The professional career may be in scientific or technical research and development, as scientific and/or technical advisor, consultant, or project leader.

The programme also prepares you for PhD studies in e.g. computational science, physics, bioscience, and mathematics.

Accreditation

1,5 Swedish higher education credits is one week of full-time studies and a semester consists of 20 weeks, i.e. 30 credits. Thus one year of full time studies equals 60 credits.

Funding details

Uppsala University offers a few scholarships to cover the tuition fee. Read more on www.uu.se/scholarships.