
The Master of Science in Applied Computational Science, Environmental Science (Environmental Economics & Policy) is a two-year, full-time on-campus program that focuses on using computational methods to address complex environmental and sustainability challenges. The program combines environmental science, data analysis, and computational modeling to study topics such as climate systems, resource management, and environmental change. Students develop strong skills in processing and interpreting large environmental datasets to support evidence-based decision-making.
Graduates are well-prepared for careers in environmental data analysis, sustainability consulting, and policy support roles within governmental agencies, research institutions, and international organizations. The program emphasizes strong computational environmental modeling and data-driven policy analysis, equipping students with the technical and analytical expertise needed to evaluate and solve complex environmental problems.
Semester 1 – Foundations of Computational Science
• Introduction to Environmental Science
• Computational Methods in Environmental Science
• Environmental Data Analysis
• Research Methods in Environmental Science
Semester 2 – Advanced Environmental Modeling
• Computational Models for Environmental Systems
• Geographic Information Systems (GIS)
• Environmental Impact Analysis
• Elective Modules in Computational Science
Semester 3 – Environmental Science & Technology
• Climate Modeling and Simulation
• Sustainable Environmental Practices
• Ecological and Environmental Risk Assessment
• Fieldwork/Research Project in Environmental Science
Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Applied Environmental Science and Technology
• Final Presentation & Research Evaluation
Graduates of the Applied Computational Science, Environmental Science Master’s program are highly valued in environmental research, sustainability consulting, and ecological data analysis. With expertise in computational modeling, environmental data analysis, and sustainability practices, graduates can pursue roles as environmental scientists, climate change analysts, or sustainability consultants. The growing need for data-driven solutions to environmental challenges ensures strong career prospects in environmental research organizations, consulting firms, and governmental agencies.
Applied Computational Science, Environmental Science program focuses on computational modeling, environmental data analysis, and sustainability solutions. Students will learn how to apply computational techniques to solve complex environmental problems and contribute to sustainable development. The program prepares graduates for careers in environmental science and sustainability, equipping them to tackle global ecological challenges using cutting-edge technologies.
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