Course summary
Around the world, city governments are realising the growing importance of harnessing the power of urban big data. This programme will provide you with the knowledge and skills to design and conduct appropriate analyses, and experience of working with cutting-edge datasets. WHY THIS PROGRAMME
- This programme will provide you with a critical appreciation of the potential for big data and urban analytics 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 benefit from the programme’s strong connection with the Urban Big Data Centre (UBDC), Glasgow’s world-leading urban analytics centre of expertise.
- 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.
- 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.
- 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.
- We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Our students 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. This programme qualifies for the prestigious Data Lab Masters Scholarships available for Scottish/EU students.
How to apply
International applicants
International applicant information can be found via gla.ac.uk by searching for 'international'.
Entry requirements
2.1 Honours degree or non-UK equivalent qualification in geography, urban planning, environmental science, public health, economic, or related social science subject, along with an interest in acquiring skills in data science, statistics, GIS, and spatial analytics. Candidates from other disciplines such as statistics, information science, data science and engineering may also be considered. If you are unsure whether your degree is suitable, you can email the programme convener to discuss.
English language requirements
Test | Grade | Additional details |
---|---|---|
IELTS (Academic) | 6.5 | No sub-test less than 6.0. Or equivalent scores in another recognised qualification. |
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Sponsorship and funding information can be found via gla.ac.uk by searching for 'scholarships'.
Provider information
University of Glasgow
The Fraser Building
65 Hillhead Street
Glasgow
G12 8QQ