Overview of the Data Science and Artificial Intelligence for Sustainability MSc

The Data Science and Artificial Intelligence for Sustainability MSc is a postgraduate program designed to equip students with the skills and knowledge necessary to apply digital technologies to solve global sustainability issues. This program is particularly relevant in today's fast-changing digital landscape of sustainability, where energy production, environmental management, and digital transformation intersect.

Career Opportunities

Graduates of this program can pursue diverse and rewarding global careers in industry, government, or research, leveraging the international nature of the growing field of digital transformation for sustainability. Example careers include Energy Analyst, Offshore Energy Analyst, and Energy and Sustainability Analyst.

Course Details

• Start Date: Full-time: October, Part-time: October
• Duration: One year full-time, two-three years part-time
• Delivery: Taught modules (80 credits/800 hours), Group projects (40 credits/400 hours), Individual project (60 credits/600 hours)
• Qualification: MSc, PgDip, PgCert
• Study Type: Full-time / Part-time
• Campus: Cranfield campus

Fees and Funding

Course Fees

• Home:
  • MSc Full-time: £12,370
  • MSc Part-time: £1,835 (annual registration fee)
  • PgDip Full-time: £9,910
  • PgDip Part-time: £1,835 (annual registration fee)
  • PgCert Full-time: £6,190
  • PgCert Part-time: £1,835 (annual registration fee)
  • Deposit: £1,000
• Overseas:
  • MSc Full-time: £18,720
  • MSc Part-time: £18,720
  • PgDip Full-time: £14,975
  • PgDip Part-time: £14,975
  • PgCert Full-time: £9,360
  • PgCert Part-time: £9,360
  • Deposit: £3,000

Entry Requirements

• Academic Background: A UK lower second class undergraduate degree with honours, or equivalent international qualification, in a related science or engineering discipline.
• English Language: Applicants must demonstrate that they can communicate effectively in English in an academic environment. Approved English tests include IELTS, TOEFL, Cambridge Assessment English, among others.
• ATAS Clearance: This course requires Academic Technology Approval Scheme (ATAS) clearance for international students, except exempt nationalities.

Modules

Compulsory Modules

1. Artificial Intelligence for Sustainability: Focuses on the application of machine learning and AI in the sustainability sector, including data analytical skills and the evaluation of AI techniques.
2. Data Analytics for Sustainability: Introduces data analytics for solving sustainability problems, covering data ethics, governance, and regulation, as well as data mining and statistical methods.
3. Energy Economics and Policy: Provides a comprehensive overview of energy policy and economic principles, including energy efficiency, renewable energy policies, and techno-economic assessment metrics.
4. GIS and Spatial Data Management: Offers a solid introduction to the management of spatial information, focusing on ESRI's software solutions and including spatial data models, mapping fundamentals, and data analysis.
5. Scientific Python: Develops skills in writing code in Python, accessing a broad ecosystem of packages and tools, and applying them to data analysis and visualization in the context of sustainability.
6. Sustainability and Environmental Assessment: Enables students to assess the sustainability of technologies or processes from an environmental standpoint, using tools like life cycle analysis and carbon footprinting.

Elective Modules

1. Computational Fluid Dynamics for Renewable Energy: Covers CFD techniques for modeling and simulating practical engineering problems related to renewable energy.
2. Energy Entrepreneurship: Prepares students for starting and managing new ventures in the energy sector, focusing on entrepreneurial risk, business planning, and venture strategy.
3. Energy Systems Case Studies: Provides a deep understanding of the multidisciplinary nature of real industrial projects in the energy sector, using case studies to develop solutions.
4. Short Research Project: Offers experience in scoping, designing, and delivering a short research project, requiring an understanding of background literature and relevant analysis techniques.

Teaching Team

The course is taught by industry-active research academics from Cranfield, supported by visiting lecturers from industry. Key staff include Dr. Pegah Mirzania (Course Director), Professor Nazmiye Ozkan, and several other lecturers and researchers with expertise in energy systems, sustainability, and digital technologies.

Funding Opportunities

Various scholarships and funding opportunities are available, including the ASEAN-UK: Women in STEM Scholarships, Masters Loan from Student Finance England, Cranfield University GREAT Scholarship, and others. A funding finder tool is available to help students identify suitable sources of funding.

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Overview:

Cranfield University is a postgraduate-focused institution specializing in science, technology, engineering, and management. It is renowned for its strong industry links and practical approach to education.

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Services Offered:

Cranfield University offers a wide range of services to students, including:

Careers and Employability Service:

Provides guidance and support for career planning and job searching.

IT Services:

Offers access to computer labs, software, and technical support.

Libraries:

Provides access to extensive collections of books, journals, and online resources.

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Student Life and Campus Experience:

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Key Reasons to Study There:

Strong Industry Links:

Cranfield University has close relationships with numerous organizations, providing students with opportunities for internships, placements, and networking.

Practical Approach to Education:

The university emphasizes hands-on learning and real-world applications, preparing students for successful careers.

World-Class Facilities:

Cranfield boasts state-of-the-art facilities, including laboratories, workshops, and research centers.

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Academic Programs:

Cranfield University offers a variety of postgraduate programs, including:

Taught Degrees:

MSc programs in various fields, such as aerospace, energy, and management.

Research Degrees:

PhD and MPhil programs for students seeking to conduct advanced research.

Apprenticeships:

Level 7 apprenticeships for professionals seeking to enhance their skills and knowledge.

Professional Development:

Short courses and executive development programs for individuals and organizations.

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Other:

• Cranfield University has two campuses: Cranfield Campus and Cranfield University at Shrivenham.
• The university is committed to sustainability and has a strong track record in environmental research.
• Cranfield University is ranked highly in various international rankings, including those for sustainability and engineering.