Introduction to Technology-Assisted Decision-Making

The University of Leeds is a major UK research university with a long history and a vibrant campus in West Yorkshire. A member of the Russell Group, Leeds combines historic buildings and modern facilities across a green campus, and hosts a large international community. Its academic strategy focuses on research-led teaching and societal impact, aiming to address global challenges and support student success through a values-driven educational approach.

Leeds offers a wide portfolio of undergraduate and postgraduate programs across arts, sciences, engineering, business and health, supported by active research centres and industry collaboration. Students benefit from work placements, live projects and fieldwork opportunities that enhance employability; the university is recognised for strong links with employers and for producing graduates who are well prepared for professional life. Teaching blends academic depth with practical skills and digital learning tools.

International students find a welcoming environment with extensive support services, study abroad options and a diverse campus life. The university’s commitment to inclusion, sustainability and community engagement creates opportunities to take part in meaningful research and civic initiatives. Prospective applicants should explore entry requirements, scholarships and language support to plan a successful transition to study at Leeds.

The Introduction to Technology-Assisted Decision-Making program at the University of Leeds is a non-degree course for students of all educational levels. It lasts several weeks and is taught in English. This program helps students make informed decisions with the help of technology.

The curriculum covers the basics of technology-assisted decision-making, including data analysis and problem-solving skills. Students learn to use tools and techniques to make better decisions. The program also includes hands-on activities to practice decision-making skills.

After completing this program, students can pursue careers as Data Analysts, Decision Support Specialists, or Operations Researchers. They can work in various industries, including finance, healthcare, or government, for employers like consulting firms or research institutions.