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Postgraduate taught

MSc Urban Analytics - 2023 entry

Please note: The below is for 2023 entries. Click here for 2022 entries.
UCAS code 1234
Duration 1 year full time
Entry year 2022
Campus Streatham Campus
Discipline Computer Science

Web: Enquire online 
Phone: +44 (0) 1392 724061

Typical offer

View full entry requirements

2:1 degree in a strongly numerate subject

Contextual offers


  • A unique pathway which combines data science and urban systems studies in order to better understand the growing challenges in urban development
  • Shape your degree according to your personal interests in the area of urban systems with our variety of optional modules whilst developing core skills in data governance and ethics
  • Learn from internationally-recognised experts in the field and benefit from our partnership with the Alan Turing Institute
  • Graduate with the academic and professional skills required to pursue a career in academia or roles across the public and private sectors
Apply for Sept 2023 entry

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View 2022 Entry

Fast Track (current Exeter students)

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Web: Enquire online

Phone: +44 (0)1392 72 72 72

Dr Hugo Barbosa talks about Urban Analytics at the University of Exeter.

4th in the UK for Graduate Prospects

Times and Sunday Times Good University Guide 2022.

Partner to the Alan Turing Institute and home to the Institute of Data Science and Artificial Intelligence

Exeter's Q-Step Centre for Applied Social Data Analysis integrates the use of cutting-edge quantitative methods with the study of substantive real world issues in the social sciences

Excellent facilities spanning a wide range of machine types and software ecosystems

Entry requirements

Candidates are required to have at least a 2:1 degree in a strongly numerate subject (eg. computer science, mathematics or physics) and must be able to show evidence of good programming ability in a recognised modern computer language. Candidates may be interviewed by video conference to assess their programming ability and suitability for the course.

The Python programming language is used extensively during this course and applicants with experience in other languages will be asked to learn basic Python before commencing the course.

We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications.

Entry requirements for international students

English language requirements


Please visit our entry requirements section for equivalencies from your country and further information on English language requirements.

Course content

The combination of data science and urban systems studies will offer you a unique pathway and set of skills which are in high demand across the public, private and academic sectors. We will train you in methods and applications from data science as well as the study of urban systems, comprising use of data and machine learning in order to better understand the growing challenges urban environments.

Crucially we will develop your awareness and understanding of issues around data governance and ethics, equipping you with relevant skills that are highly-valued by employers in this domain.

You can shape your degree according to your professional interests by choosing from a range of optional modules from data science, mathematics, water management and geography. Finally you will complete an MSc Research Project in the area of urban analytics.

The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.


UK fees per year:

£10,000 full time

International fees per year:

£23,000 full time


We invest heavily in scholarships for talented prospective Masters students and have over £2.5 million in scholarships available for students applying to study with us in 2023, including our Global Excellence Scholarships* and Green Futures Scholarships* for international fee paying students.

For information on how you can fund your postgraduate degree at the University of Exeter, please visit our dedicated funding page.

*Selected programmes only. Please see the Terms and Conditions for each scheme for further details.

Federico is a Lecturer in data science in the department of computer science. His research aims to provide a deeper understanding of human behaviour, both at the collective and individual level, by using novel data streams such as social media, internet and mobile phone data.

Read more from Dr Federico Botta

Dr Federico Botta

Programme Director

Teaching and research


Teaching is mainly delivered by lectures, workshops and online materials. Each module references core and supplementary texts, or material recommended by module deliverers, which provide in depth coverage of the subject and go beyond the lectures.

Internationally recognised research

You will be taught by internationally-recognised experts in the field who are passionate about bringing their latest research into the classroom. You will discuss the very latest ideas, research discoveries and new technologies, becoming actively involved in a research project yourself.

Supportive environment

We aim to provide a supportive environment where students and staff work together in an informal and friendly atmosphere. We operate an open door policy, so it is easy to consult individual members of staff or to fix appointments with them via email. As a friendly group of staff, you will get to know us well during your time here.


The UN estimates that $350 trillion is required to be spent on urban infrastructure, and the World Bank has a specific programme on urban development, which indicates the need for building sustainable cities and what skills are needed to address all related challenges. We have designed our MSc Urban Analytics programme with this in mind, ensuring that you will develop the skills that are directly applicable to the range of roles available and needed within the sector.

Graduate destinations

You will graduate with strong academic and professional skills leaving you well placed to pursue a PhD and a career in academia or develop your career in the private or public sector. Public organisations within the UK, such as the Office for National Statistics Data Science Campus, are in need of people with skills in urban analytics; private companies, working for instance on transportation or urban design, require employees who have the technical expertise of data science as well as the domain knowledge of urban systems.

Dedicated careers support

You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen. Please visit the  Career Zone for additional information on their services.

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