Lund University

Overview

The Master's programme in Applied Computational Science, Geology at Lund University integrates computational science with geology to enhance your ability to model Earth processes and analyze geoscientific data. This programme prepares you for various applications, including reservoir characterization and natural hazard risk assessment. Over the course of two years, you will cultivate advanced skills in data processing, simulation, and research methodologies through a combination of coursework and a research-focused approach.

What you'll study

Format: The programme consists of a well-structured sequence of core courses, followed by research-oriented learning and seminar participation. The following are some of the key areas covered:

• Computational Geology – Introduction to computational techniques for addressing geological challenges, emphasizing data management and modeling workflows.
• Geophysical Data Processing and Interpretation – Techniques for processing geophysical datasets to derive geological insights.
• Geological Modeling and Simulation – Development of geological models and application of simulation techniques to illustrate subsurface processes.
• Reservoir Characterization and Modeling – Computational methods pertinent to the study of subsurface resources and reservoirs.
• Natural Hazards and Risk Assessment – Analytical and computational strategies for evaluating risks associated with natural hazards using geoscience data.
• Research Methods in Computational Geology – Focus on research design, reproducibility, and effective scientific communication in computational geoscience.
• Seminar in Applied Computational Science, Geology – A platform for presenting and discussing research topics, methodologies, and findings.

Note: The specific sequencing of courses, credit distribution, and elective options may vary. Always verify the most recent study plan on Lund University’s programme page.

Entry requirements

To qualify for this programme, applicants should possess a Bachelor’s degree (or equivalent) in geology, earth sciences, geophysics, or a closely related discipline. A solid foundation in geology and mathematics is essential, along with demonstrated proficiency in computational tools.

No GRE or GMAT scores are required for admission, and minimum GPA thresholds are not specified; selection is based on overall academic qualifications and the relevance of previous coursework.

Career prospects

Graduates of the Applied Computational Science, Geology programme are well-equipped for diverse careers in academia, industry, and governmental organizations. The skills acquired during the programme open up opportunities in fields such as environmental consulting, geological surveying, natural resource management, and research within academic or institutional settings. With the growing importance of data analysis in geoscience, professionals with expertise in computational methods are increasingly in demand.