Durham University campus

Engineering

MSc Computational Environmental and Geographic Information Systems at Durham University

Durham University, United Kingdom

Programme overview

Build the computational and geospatial analysis expertise to model environmental systems and tackle real-world challenges in remote sensing, GIS, and environmental risk assessment. Developments in fields such as physics, engineering, earth sciences or finance are increasingly driven by experts in computational techniques. Those with the skills to write code for the most powerful computers in the world and to process the biggest data sets in the world have the potential to make a positive impact on issues relating to the Earth and its environment.

Faculty: Faculty of Science  |  Department: Computer Science  |  Duration: 1 year full-time  |  Study mode: full-time  |  Intake: September 2027  |  Location: Durham, England, United Kingdom

What you will study

This specialist qualification in Environmental and Geographic Information Systems is designed to equip you with advanced knowledge and skills in the use of sophisticated datasets and tools to tackle cutting-edge and societally relevant problems relating to the Earth’s environment and management of its scarce resources. We introduce a variety of Earth and environmental datasets, as well as the specialist mathematical and software tools required for their quantitative and computational analysis. Compulsory modules include Introduction to Machine Learning and Statistics, Introduction to Scientific and High Performance Computing, Project, Environmental and Geographic Information Systems, Professional Skills.

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Application information

Entry requirements

Entry requirements: All streams require a 2:1 BSc (Honours) degree or international equivalent in a field involving substantial quantitative and computational components. The ideal applicant has an undergraduate degree in Earth Sciences or Mathematics or Physics or Engineering or Computer Science or another natural science including substantial quantitative components. Applicants must demonstrate strong programming skills in at least one compiled language (preferably C or C++). Proficiency in Python may suffice if the applicant has a strong background in their chosen specialization and we strongly encourage such applicants to engage with our free pre-sessional Scientific Software Development in C and C++ course. We require all applicants demonstrate knowledge of undergraduate-level mathematics, broadly encompassing areas such as linear algebra, calculus, and statistics.

Domestic applicants: GBP 15,500 a year (2027/28). Home/Island full-time tuition fee per year for September 2027 entry Source

International applicants: GBP 35,000 a year (2027/28). International/EU full-time tuition fee per year for September 2027 entry Source

Intake: September 2027

Duration: 1 year full-time

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