MSc Data Science (Urban Analytics) / Overview

Year of entry: 2026

Degree awarded
Master of Science (MSc)
Duration
1 year
Entry requirements

High 2:1 honours degree (or overseas equivalent)

For this pathway, we would expect applicants to evidence an interest and/or experience in topics related to urban analysis. Examples are:

  • Working experience in urban-themed topics (e.g. data analyses for spatial phenomena, public policies or real estate market analysis)
  • Experience in working in spatial or GIS-based data analysis
  • Evidence of training in urban-themed methods or topics (e.g. GIS).

In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: 

  • data analytics and/or statistics;
  • computational subjects; and
  • pathway specific requirements.

These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.

Please see our application and selection page for more detailed information.

Full entry requirements

How to apply
Apply online

Course options

Full-time Part-time Full-time distance learning Part-time distance learning
MSc Y N N N

Course overview

  • Study a master’s in Data Science at a university ranked top 10 in the UK for maths, statistics and computer science (Times Higher Education World University Rankings by Subject, 2025).
  • Join a uniquely interdisciplinary department that develops and applies data-driven insights to the fields of property, policy, town planning and beyond.
  • Gain hands-on experience analysing real-life data using a variety of statistics software such as R, Python, Excel among others.
  • Develop highly desirable professional skills that are sought after across a range of sectors, including policy, business, research and more.
  • Graduate from one of the UK’s most targeted universities by top employers (High Fliers, The Graduate Market Report 2024).
  • Seamlessly transition from master's to PhD study through a fully-funded 1+3 pathway with our prestigious ESRC North West Social Sciences Doctoral Training Partnership (NWSSDTP).
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Explore the new MSc in Data Science

Open days

The University holds regular open days, where you will have the opportunity to find out more about our facilities and courses.   

On this day, you will find out more about the School, our resources, and meet academic and admissions staff who will be able to answer any questions you have.   

For more information, see open days and visits .

Fees

For entry in the academic year beginning September 2026, the tuition fees are as follows:

  • MSc (full-time)
    UK students (per annum): £17,300
    International, including EU, students (per annum): £35,200

Further information for EU students can be found on our dedicated EU page.

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Scholarships/sponsorships

For information on available scholarships please visit: Master’s Fees and Funding

Contact details

School/Faculty
School of Social Sciences
Contact name
School of Social Sciences Admissions Office
Telephone
+44 (0) 161 804 9198
Email
Website
https://www.socialsciences.manchester.ac.uk/social-statistics/
School/Faculty overview

Courses in related subject areas

Use the links below to view lists of courses in related subject areas.

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You can find regulations and policies relating to student life at The University of Manchester, including our Degree Regulations and Complaints Procedure, on our regulations website.