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

MSc Geo-Energy with Machine Learning and Data Science

Inggris

20

Apa yang akan saya pelajari?

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.

Saya termasuk departemen apa?

Earth Science and Engineering

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah
£46.000,00 (Rp 930.889.094) per tahun
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Batas akhir pendaftaran

Direncanakan August 2027

Tanggal mulai

September 2027

Tempat

Imperial College London - South Kensington Campus

Exhibition Road,

London,

Greater London,

SW7 2AZ, Southern England, United Kingdom

Persyaratan masuk

Untuk mahasiswa internasional

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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