Overview
The MSc Data Science and Artificial Intelligence for Sustainability at Cranfield University is a one-year postgraduate degree (also available part-time) focused on using data science, analytics and AI tools to address sustainability challenges such as energy systems, environmental management and Net Zero objectives. The programme blends taught modules, group projects and an individual research project to equip you with skills to analyse data, develop algorithms and apply digital solutions for sustainable development.
Why Data Science and Artificial Intelligence for Sustainability at Cranfield University?
Cranfield University is renowned for its excellence in engineering and management education, consistently ranking among the top institutions globally. The university's unique partnerships with industry leaders and cutting-edge facilities enhance the learning experience, ensuring that students are well-prepared for the demands of the sustainability sector. With a strong focus on practical applications, the MSc programme provides students with the opportunity to engage in real-world projects, fostering collaboration and innovation.
Tuition Fee Breakdown
The tuition fees for the Data Science and Artificial Intelligence for Sustainability MSc are as follows:
- Domestic students: £11,895 per year
- International students: £18,000 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The MSc programme comprises a comprehensive curriculum designed to equip students with the necessary skills and knowledge. The structure includes taught modules, group projects, and an individual project:
- Artificial Intelligence for Sustainability
- Data Analytics for Sustainability
- Energy Economics and Policy
- GIS and Spatial Data Management
- Scientific Python
- Sustainability and Environmental Assessment
- Elective modules such as Computational Fluid Dynamics for Renewable Energy and Energy Entrepreneurship
Students will engage in both theoretical and practical learning, preparing them for various challenges in the sustainability sector.
Industry Demand
The increasing global emphasis on sustainability has led to a surge in demand for professionals skilled in data science and artificial intelligence. Graduates of this programme will find themselves well-positioned to enter a rapidly evolving job market, where their expertise will contribute to addressing critical energy and environmental challenges.
Guaranteed Work Experience
The programme includes a group project that is often conducted in collaboration with industry partners, providing students with invaluable hands-on experience and insights into the operational aspects of sustainability-related projects.
Careers with Data Science and Artificial Intelligence for Sustainability
Graduates of the MSc in Data Science and Artificial Intelligence for Sustainability can pursue diverse career paths in various sectors. Potential job roles include:
- Energy Analyst
- Offshore Energy Analyst
- Energy and Sustainability Analyst
Cranfield's strong connections with industry leaders ensure that alumni are highly sought after, with many securing positions in leading energy companies and government agencies focused on sustainability initiatives. The university's dedicated Careers and Employability Service further supports students in achieving their career aspirations, offering resources and networking opportunities throughout their professional journeys.
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 156 other Masters in Sustainable Energy in United KingdomWhat students do after studying
Academic requirements
English requirements
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- 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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