AI and Sustainability MSc
Course Overview - AI and Sustainability MSc
* The MSc Artificial Intelligence (AI) and Sustainability at SOAS explores the complex and evolving relationship between AI technologies and environmental, socio-economic and macrofinancial sustainability. Designed for students who wish to engage critically with the links between AI and sustainability, the programme combines rigorous training in the data science foundations of AI with a deep understanding of its broader societal implications.
AI is reshaping economies and societies worldwide. The rapidly expanding AI infrastructure carries a substantial environmental foot...
* The MSc Artificial Intelligence (AI) and Sustainability at SOAS explores the complex and evolving relationship between AI technologies and environmental, socio-economic and macrofinancial sustainability. Designed for students who wish to engage critically with the links between AI and sustainability, the programme combines rigorous training in the data science foundations of AI with a deep understanding of its broader societal implications.
AI is reshaping economies and societies worldwide. The rapidly expanding AI infrastructure carries a substantial environmental footprint that exacerbates the environmental crisis, while the potential of AI to support more efficient use of natural resources remains uncertain. From a socio-economic perspective, AI is transforming labour markets with potentially adverse effects on inequalities, employment and the distribution of power. The rapid expansion of AI also raises pressing ethical issues that need to be assessed through a social justice lens. At the macrofinancial level, the surge in often debt-financed investment in AI technologies may drive economic growth in the coming years, but can also lead to financial bubbles and generate financial instability. Crucially, all these implications of AI for sustainability vary significantly across regions and countries, shaped by local economic, social, environmental and institutional contexts.
Drawing on SOAS’s world-leading research and distinctive regional expertise, the programme equips students to engage critically with cutting-edge academic and policy debates on AI and sustainability. Alongside this critical perspective, students gain hands-on experience with machine learning and other data science methods through the analysis of real-world datasets and applications. This integrated approach – combining technical skills, sustainability analysis, and a global, context-sensitive perspective – prepares graduates to play a leading role in addressing sustainability challenges in the age of AI.
Course Information
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
2027-09-01
Campus
SOAS University of London
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
Unknown
Points of Entry
Unknown
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Fees and funding
| Region | Costs | Academic Year | Year |
|---|---|---|---|
| England, Scotland, Northern Ireland, Wales, International | £0 | 2026/27 | Year 1 |



























