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Computational Geoscience at University of Glasgow - UCAS

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2025 - 20262026 - 2027
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Course summary

The Masters in Computational Geoscience explores how we model the natural world and the environment around us (and the processes that create them). You will develop applied data science and modelling skills which you can use to address complex real-world challenges and support decision-making in geoscience fields. You will develop skills that are in high-demand in the geoscience sector, including computer programming, predictive modelling and big data analysis. Why this programme

  • This programme is one of very few in the UK to focus on computational modelling in geosciences and is unique to Scotland.
  • Our specifically designed courses will provide both an introduction to earth sciences and the mathematical foundations needed to succeed in this programme. This will support both science and engineering students and students from earth, environmental, and planetary sciences.
  • The programme is highly-applied and has been developed in consultation with industry to ensure our graduates are equipped with the knowledge and skills to meet global demands for professionals in this field.
  • Our research-led teaching is delivered by academics at the forefront of debates in geomorphology, geomagnetism, geophysics, plate tectonics, and structural and reservoir modelling within the earth systems science field.
  • You will learn to solve specific applied questions using a range of coding languages including Python.
  • You will benefit from access to our extensive computer laboratories and the latest software packages.
  • Project work and continuous assessment will also help you to develop professional skills, including project management, communication, and presentation skills.
  • The School of Geographical and Earth Sciences has an Athena Swan Silver Award, demonstrating the school's commitment to supporting women in scientific studies and careers and improving the working environment for all.
Programme structure The MSc in Computational Geoscience will be delivered predominantly through laboratory practical classes, computing workshops and fieldwork, but will also include lectures, seminars and tutorials. You will take six core courses (60 credits) in semester one, and five core courses (60 credits) in semester two. Over the summer, you will undertake a research project in an area of interest to you, which will be supervised by a member of the MSc teaching staff. The majority of the courses in the MSc are assessed continuously through coursework. Assessment methods include analytical reports, and oral and poster presentations, designed to reflect real working environments. **Core courses Semester one (60 credits)**
  • Academic and Professional Skills for GES PGT
  • Introduction to Earth Science
  • Principles of GIS
  • Theoretical and Applied Climatology
  • Numerical Foundations of Geodynamics
Semester two (60 credits)
  • Modelling Water Environments
  • Topographic Modelling and Landscape Monitoring
  • Machine Learning Applications for Earth Systems Problems
  • Modelling of Landscape Evolution
  • GES_Numerical Modelling of Solid Earth Dynamics
Career prospects This programme will provide students with the knowledge and skills to work in the geoscience field at the interface between computational modelling and geoscience professionals. This includes areas such as geothermal, carbon capture, energy and metals industries, earth system modelling, flood and landscape modelling, and environmental consulting and Protection. The MSc will also prepare students for PhD study in a multitude of earth science research fields.

Assessment method

The majority of the courses in the MSc are assessed continuously through coursework. Assessment methods include analytical reports, and oral and poster presentations, designed to reflect real working environments.

Entry requirements

2.2 Hons (or non-UK equivalent) in any Engineering Discipline, Physical Sciences/Mathematics, Geophysics or Computing Science with at least 1 credit bearing module in Calculus at an average grade of pass. We may also accept degrees in Building Surveying, Quantity Surveying, Architecture, Planning, Geomatics if containing a substantial mathematics component. We may sometimes accept equivalent professional experience in lieu of qualification

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Computational Geoscience at University of Glasgow - UCAS