MSc Data Science (Social 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 (Social Analytics)

About

Absorb and focus on data, and what data science can do.
Develop your team-working skills, and actively study as part of a dynamic group.
Be inspired by what the interdisciplinary course, drawing on five different disciplines, can provide.

The range of pathways reflects the interdisciplinary nature of the course and we welcome applications from students with backgrounds in a range of disciplines, including:

Business and Management;
Health Science;
Social Sciences;
Geography;
Planning;
Computer Science;
Mathematics.

We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, you will develop:

computational skills;
data analytical skills;
data stewardship skills and knowledge;
project design skills.

Disciplines

Master of Science (MSc)

Requirements

Entry Requirements

High 2:1 honours degree (or overseas equivalent)

You are expected to have a degree with a substantial proportion of social science content; as a minimum you should have completed two degree level units on topics from any of the following: sociology, psychology, anthropology, economics, history, human geography, political science, public health.

The following includes other skills/experience that would increase the chances of being selected:

Evidence of applying statistical modelling to social sciences
Non-academic experience with the application of statistical models to social issues
Experience working on public policy issues or similar

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

The global demand for data scientist talent continues to grow, as a result, our course qualification will provide a strong boost to your employability.

The University also has its own dedicated Careers Service that you would have full access to as a student and for two years after you graduate.

At Manchester you will have access to a number of opportunities to help boost your employability .