M.Sc. in Urban Data Science and Analytics, University of Leeds

The Master's degree in Urban Data Science and Analytics from the University of Leeds will combine technical training in the latest data science techniques – from data wrangling, to machine learning, to visualisation, and beyond – with the critical thinking needed to interrogate and understand complex urban and mobility challenges.;At the heart of this course will be a commitment to tackling the real-world challenges facing cities.;Visit the official programme website for more information;Researchers at the University of Leeds are finding novel data-driven solutions to tackle challenges such as traffic congestion, social and economic equality, pollution and competition for resources. ;Course highlights;Fieldtrips in an urban context will allow you to observe first-hand how data science can be used to create and shape urban policy, and how policies in turn impact urban systems and processes.;You will work closely with external organisations and stakeholders, through co-development of creative solutions to urban problems.;You will benefit from exposure to the wide range of urban research ongoing across the University - School of Geography, Institute for Transport Studies, Leeds Institute for Data Analytics and the Alan Turing Institute, the national institute for data science and artificial intelligence.;A new seminar series featuring urban researchers and practitioners will consolidate a wider network of urban data scientists and policymakers and provide you with direct routes to the latest research, trends, and opportunities.;Career opportunities;This course will offer you in-depth technical knowledge and skills in data science along with training in workflow practice, teamwork, and ‘hacking’ to prepare you for an exciting career in industry. An online portfolio of work developed throughout the course will be important for demonstrating skills to prospective employers.;On completion of this course, you will have the technical knowledge to secure employment in local government; companies handling spatial data (eg. supermarkets, retail); start-ups; transportation authorities and operators; urban planners; and consultancies (eg. Arup, Mott MacDonald) in roles such as a data scientist; data analyst, or software developer.;Get more details;Visit official programme website