AI and Sustainable Development
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.
Months of entry
September
Course content
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: Graduates equipped with strong technical skills in AI and data science, will make you a valuable asset to future employers across various sectors.
- 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.
- Ethically responsible: Understand how to navigate complex ethical dilemmas and contribute towards the development of responsible AI solutions with government and policymaking.
- Activate your future: Open the doors to a wide range of global career opportunities within the public sector, international organisations, non-governmental organisations, or industry.
Information for international students
IELTS 6.5 (no less that 6.0 in any band) or equivalent.
Fees and funding
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
- part time24 months
- Campus-based learningis available for this qualification
Course contact details
- Name
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