Earth Science and Engineering MSc Geo-Energy with Machine Learning and Data Science دراسة Imperial College London في

MSc Geo-Energy with Machine Learning and Data Science

بريطانيا

2

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Course overview:Discover how data science and machine learning is revolutionising the study of subsurface geoscience and engineering on this Master's course. Firstly, you'll cover the fundamental processes and applications of subsurface geoscience and engineering. Then, you'll examine how data science, numerical methods and machine learning can help solve problems in the sector. You'll have the opportunity to apply these concepts to real-world settings on a geological field trip and through an independent project in an area of your choice. You'll also advance your programming skills in Python to solve numerical problems related to subsurface processes, and design numerical models relevant to energy technologies. The course is designed to meet the needs of mathematicians or scientists keen to apply their skills to this field. Alternatively, it's also suitable if you're from a geoscience or engineering background and looking to advance your knowledge of this specialist subject area. This course is part of the Ada Lovelace Academy, an initiative from the Department of Earth Science and Engineering aiming to deliver gender-balanced post-graduate education in computational subjects to solve the science and engineering challenges of the 21st century.

في أي قسم أنا؟

Earth Science and Engineering

خيارات الدراسة

دوام كامل (1 عام )

رسوم التسجيــل
£46,000.00 (US$ 59,406) سنوياً
هذه رسوم ثابتة
الموعد النهائي للتسجيل

متوقع August 2027

تاريخ البدء

سبتمبر 2026

مكان عقــد الدورة

Imperial College London - South Kensington Campus

Exhibition Road,

London,

Greater London,

SW7 2AZ, Southern England, United Kingdom

دوام كامل (1 عام )

رسوم التسجيــل
£46,000.00 (US$ 59,406) سنوياً
هذه رسوم مؤقتة قيد القبول
الموعد النهائي للتسجيل

متوقع August 2027

تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

Imperial College London - South Kensington Campus

Exhibition Road,

London,

Greater London,

SW7 2AZ, Southern England, United Kingdom

شروط القبول

للطلاب الدوليين

2:1 in a Geological or Physical Sciences 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.

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