Overview
This MSc programme at Imperial College London focuses on the intersection of environmental engineering and data science, preparing students to address pressing global environmental issues. The curriculum is designed to enhance technical expertise in environmental practices while incorporating computational methods and statistical modelling techniques. The course structure is tailored to provide a comprehensive understanding of sustainability concepts and engineered solutions aimed at conserving resources and protecting both the environment and human health.
Why Environmental Engineering with Data Science at Imperial?Imperial College London is renowned for its academic excellence and innovative research. The university consistently ranks among the top institutions globally, particularly in engineering and technology disciplines. With strong industry partnerships, students benefit from access to cutting-edge facilities and resources. The programme's unique focus on data science complements traditional environmental engineering, making graduates highly attractive to employers in various sectors.
Careers with Environmental Engineering with Data Science
Graduates of this programme can pursue diverse career paths across various sectors, including consultancy, industry, and government. Alumni have found roles in organisations focused on sustainability, resource management, and environmental protection. The programme equips students with the skills necessary for roles such as environmental consultants, data analysts in environmental sectors, and project managers in sustainability initiatives.
Programme Structure
Courses include:
- Environmental Fluid Mechanics
- Statistical Modelling
- Urban Hydrology and Urban Drainage
- Machine Learning
- Chemistry and Microbiology for Environmental Engineering
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
IELTS & PTE Test Preparation
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- Live classes with current and ex-examiners
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Environmental Engineering Data Science & Big Data View 407 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- First class Honours in civil engineering, natural sciences, earth sciences or other numerate disciplines
Tuition Fees
-
International Applies to you
Applies to youNon-residents45000 GBP / year≈ 45000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents19400 GBP / year≈ 19400 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Environmental Engineering with Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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