Course summary
Influence the future with our MSc in AI for a Sustainable Development at Birmingham. Our innovative programme will equip you with the skills and knowledge to drive ethical tech solutions and impactful change through interdisciplinary learning and real-world projects. 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. Why study this course at the University of Birmingham? 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.
Modules
Please view our course page for the latest list of modules,
Entry requirements
A minimum of an upper second-class Bachelor's degree in any subjects from a UK university; or an overseas qualification of an equivalent standard. In addition to the above, applicants must also demonstrate strong mathematical skills through one of the following: Grade A (or above) in A Level Mathematics or equivalent (if your first degree is not Mathematics) OR Successful completion of the University of Birmingham's Mathematics for AI and Data Science microcredential. Applicants who meet the Bachelor's degree requirement but do not meet the mathematical prerequisites may be offered conditional admission, subject to successful completion of the Mathematics for AI and Data Science microcredential prior to the application deadline. All applicants are required to provide detailed evidence of their qualifications at the point of application. Applications cannot be considered without this supporting documentation. If you have undertaken studies outside the UK and have not taken A Levels, you can check if you hold a suitable equivalent qualification. If you are an international student, you will need to demonstrate you have a suitable level of English proficiency, usually through the form of an IELTS or equivalent qualification or a Presessional English course. For this course we require IELTS 6.5 with no less than 6.0 in any band.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For more detailed information on available funding and fees for postgraduate courses please visit: https://www.birmingham.ac.uk/study/postgraduate/taught/fees-funding
Provider information
University of Birmingham
Edgbaston
Birmingham
B15 2TT