Scientific Computing for Partial Differential Equations
Course, Master's level, 1TD354
Expand the information below to show details on how to apply and entry requirements.
Autumn 2025
Autumn 2025,
Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 November 2025–18 January 2026
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering. Scientific Computing II or Introduction to Scientific Computing or Scientific Computing, Bridging Course. Several Variable Calculus. Linear Algebra II. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- 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.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 April 2025
- Application code
- UU-12011
Admitted or on the waiting list?
- Registration period
- 20 October 2025–9 November 2025
- Information on registration from the department
Autumn 2025
Autumn 2025,
Uppsala, 33%, On-campus, English
For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 November 2025–18 January 2026
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering. Scientific Computing II or Introduction to Scientific Computing or Scientific Computing, Bridging Course. Several Variable Calculus. Linear Algebra II. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 20 October 2025–9 November 2025
- Information on registration from the department
About the course
We are all familiar with weather forecasts and you have probably read about climate simulations. These are both examples where partial differential equations are used as models. The same kind of models turns up in many other areas, such as financial mathematics or biotechnology to mention a few. The methods used to solve these kinds of problems are in focus in this course, i.e. numerical solutions to partial differential equations.
When solving these problems numerically you usually get a large (often massive) equation system to solve. How to analyse and solve systems of equations is another main topic in the course.