Course summary
Be part of a transformative movement that is tackling global sustainability challenges through the power of AI. Our new MSc AI and Sustainable Development programme offers an interdisciplinary learning experience that explores using artificial intelligence to tackle key social issues such as poverty, hunger, and inequality. Get ahead of the competition by learning how to make data-driven decisions that contribute towards social and environmental responsibility, addressing complex issues relating to the United National Sustainable Development Goals (SDGs). Forge your future with our MSc AI and Sustainable Development programme and become part of a new generation of highly skilled professionals who are making a real difference to the world. Who is this course for? This programme is for those who are interested in exploring the intersection of AI and sustainable development, learning how to use Artificial Intelligence and data science to inform decisions around global sustainability. This programme is for those from a social science academic background (or a related discipline) who can evidence having studied at least one quantitative module during their Bachelor’s degree. Why study at Birmingham? -Unique interdisciplinary learning: Learn how to tackle complex problems by gaining knowledge from multiple disciplines such as computer science, politics, economics, and social policy, making you a well-rounded graduate. -Future-focused learning: Graduate equipped with strong technical skills in AI and data science, making you a valuable asset to future employers across various sectors. -Ethically responsible: Understand how to navigate complex ethical dilemmas and contribute towards the development of responsible AI solutions with government and policymaking. -Lead the change: Gain a deep understanding of policy analysis and development in the context of AI and sustainable development, allowing you to contribute in a meaningful way towards the development of policies that incorporate AI technologies.
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 social science (or a related discipline) from a UK university; or an overseas qualification of an equivalent standard. All applicants must provide evidence of successfully completing at least one advanced module in quantitative methods, statistics, data science or econometrics during their Bachelor's degree. Relevant practical or professional experience in a related area may also be taken into account. This could include having worked for at least two years in a public sector organisation, think tank, international organisation, public policy consulting role, or in a data science position. The key criteria are having applicable work experience of two or more years duration in a field connected to public policy or data science. Applicants with lower mathematics and statistics pre-requisites will be considered, and if successful, will be required to pass an intensive on-campus Mathematics and Statistics Bootcamp before beginning the programme. International Students: IELTS 6.5 (no less that 6.0 in any band) or equivalent.
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