Overview
This Scientific Computing programme offered by Uppsala University focuses on the development and analysis of numerical methods, algorithms, and computational techniques for solving complex problems expressed through mathematical models. It supports research in areas such as numerical analysis, data-driven modelling, and the design of efficient algorithms for large-scale computations.
Key Facts
The academic environment is interdisciplinary, combining mathematics, computer science, and application domains within science and technology. Training enables the ability to design computational models, implement efficient solutions on advanced computing platforms, and conduct independent research addressing theoretical and applied challenges.
Programme Structure
Courses include:
- Numerical Analysis
- Computational Methods
- Data Analysis Models
- Algorithms for Scientific Computing
- Numerical Methods for Differential Equations
- Numerical Linear Algebra
- Optimisation Techniques
- High-Performance Computing
Key Information
Duration
Start dates & application deadlines
You can apply for and start this programme anytime.
Prospective doctoral students apply for vacancies.
Language
English
Credits
240 ECTS
Delivered
On Campus
Campus Location
Disciplines
Admission requirements
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
- TOEFL iBT: 90
- PTE Academic: 62
- IELTS: 6.5
General requirements
A person meets the general entry requirements for PhD Programmes if he or she:
- has been awarded a second-cycle qualification;
- has satisfied the requirements for courses comprising at least 240 credits, of which at least 60 credits were awarded in the second-cycle; or
- has acquired substantially equivalent knowledge in some other way in Sweden or abroad.
Tuition Fees
PhD programmes are free of charge in Sweden, regardless of citizenship.