Metadata
Title
Scientific Computing
Category
courses
UUID
18d2be705edb4c1ebe20d111600de104
Source URL
https://www.su.se/english/education/course-catalogue/education-subjects/science-...
Parent URL
https://www.su.se/english/education/course-catalogue/education-subjects
Crawl Time
2026-03-20T03:29:28+00:00
Rendered Raw Markdown

Scientific Computing

Source: https://www.su.se/english/education/course-catalogue/education-subjects/science-and-mathematics/scientific-computing Parent: https://www.su.se/english/education/course-catalogue/education-subjects

Computational work of today can be looked upon as an industrial process. The process is supervised in critical parts through inspection of well-chosen intermediate results. Scientific Computing is the study of methods for constructing and examining these processes.

Subject description

Mathematical analysis, construction and analysis of numerical algorithms, software engineering and numerical experimentation are all parts of Scientific Computing. Methods for studies of how small changes in the data impact results is of particular importance.

Career opportunities

The combination of mathematics and modern software development makes those trained in Scientific Computing in demand within many labour sectors, such as the manufacturing industry, consulting, and also research and education.

Courses and programmes

There are no courses and programmes offered in English within the subject area. However, there are courses in computer science and in computational mathematics, and a master's programme in computational mathematics.

Current courses at the Department of Mathematics

Overview of courses at the Department of Mathematics

Master's Programme in Computational Mathematics

All current programmes at the Department of Mathematics

Degree

Scientific Computing is not a main field of study but courses can be used as electives for the bachelor’s/master's degree in another main field of study.

More information about degrees at Stockholm University

Research

Read more about research at the Department of Mathematics

Contact

Contact details, Department of Mathematics

Area of interest

Science and Mathematics