Master in Computational Science

Uppsala University, founded in 1477 and based in the historic city of Uppsala, is Sweden's oldest university and a leading global research institution. With about 50,000 students, including roughly 6,000 international learners, the university offers a broad portfolio of 119 programs across the sciences, humanities, social sciences, and professional fields. Uppsala combines centuries of academic tradition with modern research facilities and a strong commitment to societal impact and sustainability.

The university is known for rigorous research, collaborative projects, and an inspiring campus life set amid cultural and scientific landmarks. Students benefit from extensive academic support, research-led teaching, and numerous student organizations that enrich personal and professional growth. Uppsala's partnerships with industry, public institutions, and international universities create pathways for internships, exchange, and postgraduate research.

International students find Uppsala welcoming, with services for housing, language development, and integration into Swedish academic life. The university's focus on sustainability and community engagement provides opportunities to work on real-world challenges through coursework and extracurricular initiatives. Graduates gain a qualification respected worldwide, practical experience, and access to a vibrant alumni and research network.

The Master in Computational Science at Uppsala University is a 2-year program for students who want to deepen their knowledge of natural science or technology. This Master's degree helps you learn to apply computational methods and models within your area of interest. You will study in English and broaden your knowledge in a field like Earth Science or Physics.

The curriculum includes courses in Scientific Computing, Financial Mathematics, and Physics. You will also take elective courses to specialize in an applied field like Numerical and Mathematical Modeling or Computational Finance. The program starts with a bridging course to ensure all students have a common knowledge base. During the final year, you will take courses connected to research and development and work on your Master's thesis project.

After graduating, you can work as a Data Scientist, Research Engineer, or Software Developer. You can also work as a Computational Physicist or Financial Analyst. These careers are available in industries like technology, finance, and science, and employers like universities, research institutions, and private companies.