MSc Data Science (Urban Analytics)

The University of Manchester

United Kingdom, Manchester

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The University of Manchester

United Kingdom , Manchester

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Campuses

Main Site

Program Language

English

Start & Deadlines

Next Intake DeadlinesJanuary-2026

Apply to this program

Go to the official application for the university

Duration 1 year(s)

Tuition Fee

GBP 35,200 / year

Next Intake January-2026

MSc Data Science (Urban Analytics)

About

Learn from elite academics at one of the UK’s top 10 universities for maths, statistics and computer science (Times Higher Education 2024).
Understand the breadth of what’s possible with data, on a course that draws on multiple disciplines.
Develop professional skills that are highly sought after across a range of sectors.
Apply data-driven insight to property, policy and town planning.

Whether you’re trying to make sense of a football match, a general election or a business’ financial performance, data is vital. Our Data Science – Urban Analytics master’s will teach you invaluable skills for today’s economy such as:

data analysis
project design
computational methods
data stewardship.

This pathway focusses particularly on the data techniques and uses that are most relevant to urban analytics, with optional course units exploring themes like land use, property valuation and town planning.

The course welcomes applicants from a range of STEM, business and humanities backgrounds. Working with the rest of your student cohort will enrich your understanding of the uses and potential of data.

Disciplines

Master of Science (MSc)

Requirements

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

English Program Requirements

Applicants whose first language is not English should meet the following language requirements:

IELTS Academic test score of 7 overall with no component score below 6.5
TOEFL IBT 100 with no score below 22 in each section. TOEFL code for Manchester is 0757
Pearson Test of English (PTE) score of 76 overall and no component score below 70

Pre-Sessional English Courses

We will consider applicants who do not meet these scores but you may be required to complete a pre-sessional English language course at the University of Manchester prior to the start of the course.

To be considered for a pre-sessional English language course for this programme we require the following minimum IELTS (Academic) scores:

6 Week Pre-Sessional Course : IELTS 6.5 overall with 6.0 in each sub-skill

10 Week Pre-sessional Course : IELTS 6.0 overall with 6.0 in three sub-skills, and 5.5 in no more than one sub-skill

If you have not yet completed your current academic study and are interested in studying a pre-sessional course, you must hold an IELTS for UKVI (Academic) test certificate to ensure that you are eligible for a separate visa for the English language course.

Career

Career opportunities

Global demand for data scientists continues to grow. On this course, you’ll develop a truly international skillset, opening doors in countless industries.

Some of the fields you can apply your data skills in are: