My name is Choi Kan Suen, and I’m currently studying the MSc in Artificial Intelligence and Sustainable Development at the University of Birmingham. With a diverse academic background across mathematics education, sustainable development, and social sciences, my passion lies in using data-driven technologies to tackle global sustainability challenges. Before this MSc, I trained as a Secondary Mathematics Teacher in England and studied Sustainable Development at Uppsala University in Sweden. I’ve worked in varied settings—from secondary mathematics education in London to refugee mentoring in Sweden and English teaching in Cambodia. I bring to this course a multicultural perspective, grounded in real-world experience across the UK, Sweden, Hong Kong, and beyond.

Receiving the £10,000 AI and Data Science Scholarship from the Office for Students has been transformative. It covered a significant portion of my tuition fees, easing financial pressure and allowing me to fully focus on my studies. As a student from underrepresented backgrounds this scholarship represented more than just funding. It was recognition and encouragement to keep going. The cash-based nature of the scholarship offered crucial flexibility. I was able to use it both toward tuition and living expenses, enabling me to balance study with work. This financial support also meant I could pursue coursework and research aligned with my personal mission: using AI to drive environmental and social impact.

The MSc AI and Sustainable Development programme offers a rare interdisciplinary blend of computer science, ethics, and global policy. Modules such as AI for Global Challenges, Programming for Data Science, and AI and Sustainable Development helped me develop both technical and critical thinking skills. I gained hands-on experience in Python, machine learning, data visualization, and algorithmic modelling, while also engaging deeply with questions of fairness, ethics, and human impact. Assignments allowed us to explore real-world problems. In one project, I investigated how AI can improve extreme weather forecasting and optimize floating offshore wind turbine efficiency in Europe’s North Sea—connecting climate action (SDG 13) and renewable energy goals (SDG 7). Another essay compared how AI is used in agriculture in the United States and China, reflecting on policy-driven innovations in green technology. What I value most is the programme’s focus on responsible innovation, and how AI can be deployed ethically in under-served communities. The teaching is inspiring, collaborative, and grounded in global impact.

I was drawn to this course because of its clear focus on global justice and ethical AI. Having worked across sustainability, education, and social work, I was eager to consolidate my interdisciplinary experiences and translate them into AI-driven solutions for real-world challenges. The course has exceeded my expectations. I especially enjoy exploring how artificial intelligence can support sustainable development—whether in renewable energy, agriculture, or inclusive education systems. One highlight was delving into how AI can support food security in rural area, or how it can predict climate shocks that affect vulnerable populations. The biggest challenge was returning to programming and technical skills after several years in the social sciences and education. But with support from tutors and peer collaboration, I’ve grown immensely in confidence, especially in Python and data analytics. I’ve also appreciated the diversity in the classroom. My peers come from all over the world, and our group projects are a rich mix of ideas and expertise. The environment fosters mutual respect, creativity, and ambition.

After graduating, I plan to work at the intersection of AI, climate innovation, and social impact. I am particularly interested in roles within NGOs, international development organisations, and social enterprises that apply AI to global problems like climate resilience, agricultural innovation, and disaster forecasting.

I believe the future of AI must be inclusive and just. This MSc has equipped me with both technical tools and ethical frameworks to contribute meaningfully to that vision. I hope to be part of building responsible AI systems that serve not just efficiency—but equity and sustainability. As a former educator, I also hope to contribute to AI education and outreach in under-served communities, ensuring more people can access and shape the technologies that will define our future.