
The Master of Science in Applied Computational Science, Physical Geography (Geography) is a two-year, full-time on-campus program that focuses on using computational methods to analyze physical environmental systems. The program covers key areas such as geomorphology, climate dynamics, spatial modeling, and environmental data analysis. Students develop a strong understanding of how physical processes on Earth are modeled and interpreted using advanced computational tools and geospatial techniques.
Graduates are well-prepared for careers in environmental modeling, geospatial analysis, and physical geography research within research institutions, governmental agencies, and environmental consultancies. The program emphasizes strong computational geoscience and environmental data modeling, equipping students with the technical expertise needed to analyze and simulate complex physical geography systems.
Semester 1 – Foundations of Applied Computational Science
• Introduction to Computational Science
• Geographic Information Systems (GIS)
• Earth Systems Modeling
• Research Methods in Physical Geography
Semester 2 – Advanced Geographic Computation
• Remote Sensing and Spatial Data Analysis
• Climate Modeling and Simulation
• Environmental Modeling and Simulation
• Elective Modules in Physical Geography
Semester 3 – Applied Geographic Analysis
• Geospatial Data Analysis
• Geographic Modeling for Natural Resources
• Geomorphology and Environmental Systems
• Fieldwork/Research Project in Physical Geography
Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Applications in Physical Geography
• Final Presentation & Project Evaluation
Graduates of the Applied Computational Science, Physical Geography Master’s program are highly sought after in geospatial analysis, environmental science, and climate change modeling. With expertise in computational modeling, geospatial data analysis, and environmental systems, graduates can pursue roles as geospatial analysts, environmental consultants, or climate scientists. The growing need for environmental modeling and geographic information systems (GIS) ensures strong career prospects in environmental consulting, research organizations, and government agencies.
Applied Computational Science, Physical Geography program focuses on geospatial data analysis, climate modeling, and environmental systems. Students will develop computational skills to analyze and model physical geographic and environmental data. The program prepares graduates for careers in environmental science and geospatial analytics, equipping them with the tools to contribute to climate change mitigation and resource management.
For further information, please contact the admissions office at:
Phone: +46 46 222 00 00
Email: info@lu.se
Address: Lund University, Paradisgatan 2, 221 00 Lund, Sweden