POSTGRADCOURSES.CO.UK
Home The Role of Technology in Education and Training in the UK
Next Date: September
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.
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.
£
2.2 Hons (or non-UK equivalent) in any Engineering Discipline, Physical Sciences/Mathematics, Earth, Environmental, and Planetary Sciences or Computing Science.
We may also accept degrees in Building Surveying, Quantity Surveying, Architecture, Planning, Geomatics if containing maths.
We may sometimes accept equivalent professional experience in lieu of qualification
Apply for partial scholarships
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.
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
Computing is a creative and wide-ranging subject that focuses on using sound underlying principles and logical thinking to design and build systems that really work. This course allows you to focus on the theory and tools of business management that require computerised solutions, including decisio...
More INFOOur flagship MInf degree is an integrated programme that earns you a Masters level qualification over five years. You will gain a range of experience across all areas of informatics and be able to study your chosen specialist area in-depth at Masters level. Areas of study Years 1, 2 and 3 are simi...
More INFOHere at Cambridge, we pioneered computer science and we continue to lead its development today. Our links to Computing go back to the 1930s when Alan Turing developed the theoretical foundations for computation. We've been at the forefront of Computer Science research ever since. This is a broad a...
More INFOIn this three-year course, you will learn to understand and apply Artificial Intelligence. You'll learn from our world-class researchers as they develop new algorithms and apply AI to innovations in healthcare, finance, environmental modelling, robotics and the technologies of the future. Today, Ar...
More INFOIf you enjoy mathematical problem-solving, would like to learn about computing, but also have wider interests in life and the universe - for example what AI can teach us about ourselves, how it will impact on the world, or how we should react to these huge changes - then this degree might be for you...
More INFOBSc Computer Science with Artificial Intelligence combines a focus on the rapidly evolving field of Artificial Intelligence (AI) with a thorough grounding in the fundamentals of computer science, including opportunities to specialise in a range of advanced areas of AI and computer science. We review...
More INFO
