Join the next generation of subsurface geoscientists and engineers
Data science and machine learning are revolutionising the study of subsurface geoscience and engineering.
If you’re a mathematician or a physical or computer scientist keen to apply your skills to this field, or you have a geoscience or engineering background and you want to learn data science and machine learning tools and approaches, this is the ideal course for you.
You’ll cover the fundamental processes and various applications of subsurface geoscience and engineering, while learning to apply data science, numerical methods and machine learning to problems in the sector.
There are opportunities to apply these concepts to real-world settings, which you’ll do on a geological field trip and to a technical problem you identify, for which you’ll design and present your own computational or data science-based solution.
The course provides you with the opportunity to develop in-demand skills for a range of careers, from geoenergy, tech, computing and consultancy or go into further research.
Our minimum requirement is a 2:1 in a geological or physical science subject, or an engineering discipline.
Evidence of a good quantitative background (a minimum of a grade A in A-Level Mathematics or evidence of mathematics programmes in your undergraduate degree) and coding experience will also be required.
Applicants with other qualifications, and relevant professional or industrial experience, may be considered.
For fees and funding options, please visit website to find out more
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