Lund University

Overview

The Master’s programme in Computational Science and Geoscience at Lund University integrates computational science with geoscience to enhance understanding of Earth systems. This course emphasizes modeling, geospatial data analysis, and environmental processes, equipping students with essential skills in simulation, remote sensing, and computational research methodologies.

• Level: Master’s (MSc)
• Focus: Application of computational science to geoscience and Earth system research
• Credits: Typically 120 ECTS
• Duration: Usually 24 months (full-time)
• Delivery: Campus-based study at Lund University
• Language of instruction: English
• Application: Submit through the university’s application portal

What you'll study

The curriculum is designed to sequentially develop your knowledge and skills, encompassing both foundational and advanced topics in computational science and geoscience. Core courses may include:

Typical course components

• Computational Methods in Geosciences – Techniques for programming and computational workflows relevant to geoscience challenges
• Earth System Modeling and Simulations – Approaches to model and investigate processes within Earth systems
• Remote Sensing and GIS in Geoscience – Tools for conducting geospatial analysis using remote sensing and geographic information systems
• Geodynamics and Tectonics – Exploration of geological dynamics and tectonic processes through computational lenses
• Environmental Geochemistry – Investigation of geochemical processes and their environmental implications
• Research Methods in Computational Geoscience – Training in scientific methods, reproducibility, and research planning

Capstone / thesis

A key element of the programme is the research component, typically involving a thesis or project where students employ computational methods to address a geoscience research question. Details regarding the thesis format and scope are available on the official programme curriculum page.

Entry requirements

The programme does not specify particular GRE, GMAT, or GPA requirements. However, a relevant undergraduate degree and proficiency in English are essential for admission.

Career prospects

Graduates of this programme are well-prepared for careers in academia, research institutions, and various industries focused on environmental science, geoscience, and computational modeling. The skills developed during the course open opportunities in data analysis, environmental consulting, and policy-making related to geological and environmental issues.