School: School of Social and Political Sciences, College of Social Sciences. This Master of Science (MSc) program provides students with the advanced knowledge and practical skills to harness the power of urban big data for urban planning and policy-making. It offers hands-on experience with statistical methods, Geographic Information Systems (GIS), and programming tools (including AI-driven methods) to capture, process, and analyze diverse urban datasets. The University of Glasgow is a member of the UK's prestigious Russell Group, is the fourth oldest university in the English-speaking world, and a member of Universitas21 (U21), a global network of world-leading, research-intensive universities.

Graduates are highly sought after in a rapidly growing field, equipped with unique advantages in the global job market due to their expertise in emerging urban big data and transferable analytical skills. Career opportunities span various sectors: Government Agencies (local, regional, national), Urban Planning Organizations, City Governments, Public Health Boards, Retail Business, Real Estate Companies, Transport and other Private Consulting Firms, and Non-profit Organizations. Roles include Urban Analyst, Data Scientist, GIS Specialist, Policy Analyst, Urban Planner, Consultant, and Researcher. The program's strong connection with the Urban Big Data Centre (UBDC) and The Data Lab provides significant networking and learning events, connecting students with leading organizations. Graduates are also well-prepared for PhD research.

The University of Glasgow is a member of the UK's prestigious Russell Group, ensuring high academic standards and research excellence. It is the fourth oldest university in the English-speaking world, boasting a rich history. As a member of Universitas21 (U21), it offers global connections and opportunities. The MSc program benefits significantly from its strong ties with the Urban Big Data Centre (UBDC), a world-leading urban analytics centre, providing access to cutting-edge datasets, technical expertise, and research opportunities. The curriculum includes hands-on experience with diverse statistical and GIS software, and programming tools.