Urban Analytics

Entry requirements

2.1 Hons (or non-UK equivalent) in Geography, Urban Planning, Environmental Science, Public Health, Economics, or a related Social Science subject, along with an interest in acquiring skills in data science, statistics, GIS, and spatial analytics.

We may also accept degrees in other disciplines such as Statistics, Information Science, Data Science and Engineering.

We may sometimes accept degrees at 2.2 Hons or non-UK equivalent.

Relevant, full-time work experience may also be considered. Please provide a CV.

If your qualification is below 2:1 or in an unrelated subject, you are required to complete a personal statement for entry to this programme - see link below.

• Urban Analytics Statement

Months of entry

September

Course content

Around the world, city governments are realising the growing importance of harnessing the power of urban big data. Our Masters in Urban Analytics will provide you with the knowledge and skills to design and conduct appropriate analyses, gaining experience of working with cutting-edge datasets and exposure to emerging tools, including those driven by artificial intelligence (AI).

Why this programme

• The programme will provide you with a critical appreciation of the potential for big data and urban analytics, including AI-driven methods, to inform urban planning and policy making, as well as an understanding of practical and ethical limitations.
• It offers hands-on experience of a range of statistical and GIS software, and of the use of programming tools to capture, process and analyse data.
• You will be exposed to a range of cutting-edge datasets typically encountered by urban analysts and the various challenges they present.
• You will learn to apply a range of analytical methods, from traditional statistical approaches to emerging AI techniques, to extract insights and address real-world urban challenges.
• The programme will develop your ability to convey the results of complex data analyses in ways which have impact on policy makers and public debates.
• You will benefit from the programme’s strong connection with the Urban Big Data Centre (UBDC), Glasgow’s world-leading urban analytics centre of expertise.
• A wide range of optional courses will provide you with the opportunity to pursue personal interests, enhancing particular skills or domain-specific knowledge such as transport studies or urban design.
• We work closely with the Data Lab, an internationally leading research and innovation centre in data science. You will benefit from a wide range of learning and networking events that connect leading organisations seeking urban analytical skilled students who are looking for exciting opportunities in this field.
• You may have opportunities to visit Aalto University in Helsinki, Finland under a funded academic exchange programme through the UK Turing Scheme. The number of students that can visit Finland is dependent on the yearly funding success.