Master in Computational Science, Geoscience

Lund University, located in Lund, Sweden, is a historic institution founded in 1666. You'll find many advantages to studying here, including access to cutting-edge research facilities, a strong international profile with partner universities in 75 countries, and excellent conditions for scientific breakthroughs and innovations. As a student, you'll be part of a large and diverse community with 45,000 students, including 12,600 international students.

The university focuses on many subjects, including economics and management, engineering and technology, fine arts, music and theatre, humanities and theology, law, medicine, science, and social sciences. With 147 programs available, you can choose from a broad range of fields. Specifically, the university is home to two world-leading research facilities, the synchrotron radiation facility MAX IV and the European Spallation Source (ESS), which will be fully operational by the end of 2027.

As a student at Lund University, you'll have access to modern facilities and a unique location. The city of Lund offers a great quality of life, with opportunities to engage in cultural and social activities. For instance, the university's commitment to creating an international hub for research, education, and innovation provides a dynamic environment for you to grow and learn. You'll be able to take advantage of the university's strong industry partnerships and collaborations, making it an ideal place to study and launch your career.

The Master in Computational Science, Geoscience at Lund University is a 2-year program for students who want to become experts in advanced computations and large volumes of data within geoscience. This Master's degree program is taught in English and helps students develop specialist knowledge in numerical simulations and machine learning.

The curriculum includes a mix of courses in geoscience, mathematics, and computational science. Students will study computational methods within data science, Monte Carlo simulations, and solutions to differential equations. They will also gain insight into the interplay between numerical computational methods and the underlying physical phenomena and models that are studied. Courses include modelling in computational science, numerical methods for differential equations, and spatial statistics with image analysis.

Graduates of this program can pursue careers as Geoscientist, Data Scientist, Computational Scientist, Climate Modeler, or Environmental Consultant. They can work in industries such as research, environmental consulting, or government agencies, and can be employed by organizations such as the Swedish Environmental Protection Agency or the European Space Agency.