United KingdomImperial College LondonMasters

Environmental Data Science and Machine Learning

The programme offers a focus on environmental big data in addition to established modules in machine learning, computational science and modern programming skills that run in the Applied Computational Science and Engineering MSc.

assignment-lateDeadline:Jul 23, 2024
Environmental Data Science and Machine Learning - Cover
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Duration
1 year
Tuition Fee
£38,600 annually
Level
Masters
Attendance
On Campus
Format
Full Time

Description

Program Overview

The MSc Environmental Data Science and Machine Learning at Imperial College London will train students in fundamental computational and data science skills for application across the environmental sciences. The course is led by expert computational scientists in the Department of Earth Science and Engineering. The programme offers a focus on environmental big data in addition to established modules in machine learning, computational science and modern programming skills that run in the Applied Computational Science and Engineering MSc.

Course Overview

This immersive, hands-on MSc course will enable students to develop their skills and techniques for a range of Environmental science and engineering applications utilising Cloud and High Performance Computing resources. Students will learn alongside world-class researchers in the Department of Earth Science and Engineering. There will be a strong emphasis on high productivity problem solving using modern computational and data science techniques.

Applicants who want to pursue highly numerate and computational based careers in environmental science and engineering, including climate, renewable energies, sustainability and earth imaging, are a target for this course. Graduates will develop the skills necessary to enter the modern industrial workforce. This MSc will also prepare for your PhD studies in fields such as computational and data science techniques, simulation, numerical modelling, optimisation and inversion, and machine learning applications.

The Environmental Data Science and Machine Learning MSc programme will ensure that students are able to apply appropriate computational techniques to understand, define and develop solutions to a range of environmental science and engineering problems. You will have the chance to participate in individual and group research projects as well as to write reports and present technical work, developing the project management and numerical skills desired by employers.

Who is the course for?

If you:

  • have a first degree in an Engineering or Science-based subject and would like to expand your knowledge of Environmental Data Science, or
  • would like training in Data Science and Machine Learning with a strong applied focus, or
  • have a background in Environmental Science and want to develop computational/data science and coding skills,
  • then you will benefit from joining the MSc Environmental Data Science and Machine Learning.

Career Opportunities

Graduates of this course will be well placed to fill the significant market demand for those with applied, hands-on computational and data science experience.

Many of the skills you learn are applicable broadly across all of science and engineering and so potential career paths are hugely diverse. The additional knowledge of environmental science and associated engineering solutions you will be exposed to in this course will make you particularly attractive to anything from relatively small environmental and engineering consultancies to large multi-national organisations including those in the energy and big tech sectors.

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
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