United KingdomImperial College LondonMasters

Geo-Energy with Data Science and Machine Learning

The MSc Geo-energy with Machine Learning and Data Science at Imperial College London is a new programme, starting in October 2022. The course is aimed at geoscientists and engineers who want to acquire advanced computational, data science, machine learning and numerical skills relevant to working on various aspects of the energy transition.

assignment-lateDeadline:Jul 23, 2024
Geo-Energy with Data Science and Machine Learning - Cover
Views:40
Impressions:113
Duration
1 year
Tuition Fee
£38,600 annually
Level
Masters
Attendance
On Campus
Format
Full Time

Description

Program Overview

Join this 12-month Master’s in Geo-Energy with Machine Learning and Data Science, starting October 2022.

In preparation for the energy transition, you will study subsurface geoscience and engineering, with a focus on data science and machine learning. You will develop skills that can be applied to carbon dioxide storage, water management, hydrocarbon recovery, geothermal energy, and other subsurface processes.

The program will strengthen your understanding of numerical, analytical, and computational concepts, and is taught by experts in these areas.

The course is aimed at geoscientists and engineers who want to acquire advanced computational, data science, machine learning and numerical skills relevant to working on various aspects of the energy transition.

Who is the course for?

The MSc in Geo-Energy with Machine Learning and Data Science is suitable for science and engineering graduates, including students with:

a mathematics or physical sciences background who want to specialize in subsurface geoscience and engineering, or

a geoscience and engineering background who want to learn about data science and machine learning as tools for problem solving and analysis, or

a computer science background who wish to expand their knowledge of ML and observational techniques in the context of subsurface energy and storage.

Students are expected to have basic skills in coding and mathematics. There is a coding course in Python provided before the course formally starts to allow you to refresh and develop your coding skills.

Career Opportunies

Graduates of this course will go on to work in academia, or go on to work in:

large data and computer companies including start-ups,

consultancies offering services to the energy industry and working on natural geo-hazards,

the energy industry, including oil, gas, and renewables,

companies involved in carbon dioxide, hydrogen, and/or thermal energy storage,

engineering companies involved in the energy transition.

Requirement

Applicants must possess a bachelor's degree with CGPA > 2.50/4.00 OR 3.0-3.5/5.00

A copy of your international Passport Bio-Data Page.

WAEC Certificate

Undergraduate Certificate (ND & HND)

Undergraduate Transcript  (ND & HND)

Passport Photograph

Curriculum Vitae

Two reference letters.

Statement of Purpose in English (A letter that states the Applicant’s Purpose for choosing the Program ).

Upper-intermediate command of English (equivalent to IELTS 6.0+ or TOEFL 79+ level, but no certificate required) 


Fees

Tuition Fee for Local students and Ireland£ 16,600.00

Tuition Fee £38,600 annually
Application Fee £0
Acceptance Fee £0
Housing Fee £500- £600 monthly
Living Fee £300- £399 monthly

Addition Information

DegreeMSC
Duration1 year
AttendanceOn Campus
LevelMasters
Country🇬🇧 United Kingdom
Campuses
Main Campus
FormatFull Time
Intakes
Fall 2023, Fall 2024
Study LanguageEnglish
Application Fee£0

£38,600 per year

assignment-lateJul 23, 2024
© 2020 - 2024 Univacity Ltd. All right reserved.