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University of Birmingham - College of Social Sciences MSc in AI and Sustainable Development
University of Birmingham - College of Social Sciences

University of Birmingham - College of Social Sciences

MSc in AI and Sustainable Development

Birmingham, United Kingdom

MSc

1 up to

2 years

English

Full time, Part time

Sep 2025

GBP 30,370 / per year **

On-Campus

* deadline for International students I 29 August 2025 deadline for Home students

** for full-time International students| for part-time International students: £15,185 | for full-time UK students: £11,740 | part-time UK students: £5,870 per year

Key Summary

    About : The MSc in AI and Sustainable Development focuses on integrating artificial intelligence with sustainability principles. This program equips students with the skills to tackle environmental challenges through innovative technology solutions. It typically lasts one year for full-time students or two years for part-time students. Students will engage in hands-on projects and case studies to apply theoretical knowledge to real-world scenarios.
    Career Outcomes : Graduates can pursue careers in various sectors, such as environmental consultancy, sustainability policy development, and technology implementation in sustainable practices. Potential roles include data analyst, project manager, and AI solutions developer, enabling students to drive change in sustainable development initiatives.

Our course will help you kickstart your career by empowering you to lead in ethical tech innovation. Gain the expertise to influence global policies, drive sustainable solutions, and make a lasting impact through interdisciplinary and practical learning.

What makes this course different?

This programme offers rigorous interdisciplinary training, integrating AI with social sciences to tackle global challenges. You’ll gain hands-on experience in cutting-edge techniques, from machine learning to policy analysis, while focusing on impactful, responsible technology deployment. With a breadth of expertise and optional modules available to develop a broader perspective, you’ll graduate equipped and confident to lead in diverse roles, driving meaningful change in underserved communities and beyond.

  • Integrated Curriculum: Study a combination of computer science and social science perspectives to offer a comprehensive skillset for tackling complex challenges.
  • Advanced Technical Training: Learn from expert in their fields who cover the latest in programming, machine learning, and data science to ensure you master highly sought-after skills.
  • Focused Development: Enhance your essential non-technical skills such as systems thinking, ethical reasoning, and participatory design, crucial for driving responsible innovation.
  • Practical Experience: Benefit from valuable insights into the real-world deployment of AI in underserved regions, balancing benefits with potential risks.