The Master’s Programme in Computational Science at Uppsala University trains you to use advanced computing and software to run numerical simulations and analyse large scientific datasets. You will combine methods from mathematics, statistics, and computer science to solve problems from areas such as physics, chemistry, biology, finance, and geosciences.Career focus: Graduates are prepared for roles in research and development, scientific/technical advisory work, consulting, and data- and simulation-driven project leadership, and the programme can also serve as a strong foundation for PhD studies.
The Master’s Programme in Computational Science at Uppsala University prepares students to leverage advanced computing and software for executing numerical simulations and analyzing extensive scientific datasets. This interdisciplinary program integrates principles from mathematics, statistics, and computer science to address challenges across diverse fields such as physics, chemistry, biology, finance, and geosciences.
The curriculum encompasses core courses in scientific computing and programming, complemented by applied mathematics and visualization techniques. Depending on individual academic backgrounds, students may also engage in bridging courses to ensure a solid foundation for more complex topics.
Assessment methods: Evaluation typically includes a combination of problem-based assignments, computational projects, written exams, and project assessments, allowing students to apply their learning to real-world scientific challenges.
Applicants must possess a Bachelor’s degree (or its equivalent) from a recognized institution, with a focus in science, engineering, mathematics, or computer science. Additionally, candidates should have:
Currently, there are no known specific GRE or GMAT requirements for this program.
Graduates of the Computational Science program are well-equipped for various roles, including research and development, scientific and technical advisory positions, consulting, and leadership in data-driven projects. This program also serves as an excellent foundation for those interested in pursuing PhD studies in related fields.
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