Overview
Sustainability depends on areas such as energy production and environmental management, making it a complex problem. Energy supply is fundamentally important to our homes and workplaces. Future energy supply has to be affordable, stable and secure. Ecosystem management needs to account for the food, water and energy nexus and socio-political context.
Digital transformation is an emerging discipline using powerful digital tools and various digital models to solve and manage the increasingly complex problems related to sustainability energy systems. Within this discipline, digital tools and models (such as Artificial Intelligence) are used to analyse data from different energy systems and sources and drive new control and operational strategies and business models, whilst supporting key objectives such as reaching Net Zero emissions.
Your career
The international nature of this growing field allows Cranfield graduates to develop diverse and rewarding careers all over the world in industry, government or research. Example careers:
- Energy Analyst – data science,
- Offshore Energy Analyst,
- Energy and Sustainability Analyst,
- Research Analyst - Energy.
Programme Structure
Modules include:
- GIS and Spatial Data Management
- Decision Science
- Scientific Python
- Data Analytics for Energy Systems
- Artificial Intelligence for Energy Systems
- Sustainability and Environmental Assessment
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
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Credits
Delivered
Campus Location
- Cranfield, United Kingdom
Disciplines
Sustainable Energy Artificial Intelligence View 157 other Masters in Sustainable Energy in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A first or second class UK Honours degree (or equivalent) in a related science or engineering discipline. Other recognised professional qualifications or several years relevant industrial experience may be accepted as equivalent; subject to approval by the Course Director.
Tuition Fees
-
International Applies to you
Applies to youNon-residents18720 GBP / year≈ 18720 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents12370 GBP / year≈ 12370 GBP / year
Additional Details
Home:
• MSc Part-time £1,765
International:
• MSc Part-time £18,000
Living costs
Cranfield
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
- Brian Meredith Net Zero Scholarship
- Cranfield University GREAT Scholarship Bangladesh
- British Council Scholarships for Women in STEM
- Cranfield Scholarship SWEE Merit
- Masters Loan from Student Finance England
- Santander Scholarship
- Commonwealth Scholarships for Developing Countries
- Lendwise Postgraduate Student Loan
- Scottish Power Masters Scholarship
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Artificial Intelligence for Sustainability.
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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