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University of Leeds Urban Data Science and Analytics MSc

University of Leeds

Urban Data Science and Analytics MSc

Leeds, United Kingdom

0 Years

English

Full time

Request application deadline

Aug 2025

On-Campus

Introduction

The Urban Data Science and Analytics MSc at the University of Leeds is designed to equip students with the skills necessary to address urban challenges through data science. This programme focuses on understanding urban processes and dynamics, providing insights that are crucial for effective urban planning. Students will gain in-depth knowledge of data science methods, including data wrangling, machine learning, and visualisation, while also developing critical thinking skills to tackle complex urban issues.The course combines technical training with practical applications, ensuring that graduates are well-prepared for careers in data science, software development, and urban planning. A key feature of the programme is its commitment to real-world challenges, with research at Leeds focusing on issues such as traffic congestion and social equality. Students will have the opportunity to engage with ongoing research and innovations in urban analytics, enhancing their learning experience.The curriculum includes compulsory modules that cover programming, data science applications, and urban policy analytics. Additionally, students can tailor their studies with optional modules in areas like geographic data visualisation and transport data science. The programme also emphasises hands-on learning through fieldwork and project work, allowing students to apply their knowledge in real urban contexts.Access to specialist facilities, including research-grade laboratories and GIS software, further enriches the learning experience. The course is taught by a team of experienced academics and industry professionals, ensuring that students receive high-quality instruction and support. Graduates will emerge with a robust portfolio of work, showcasing their skills to potential employers in a rapidly growing field.

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