Overview

The Data Science programme at Queen Mary University of London offers world-leading expertise and industry partnerships to equip students with essential skills in statistical data modeling, visualisation, machine learning, and domain-specific applications like computer vision and natural language processing.

Key Features

You will cover fundamental statistical and analytical concepts (such as machine learning) and technological tools (such as cloud platforms, Spark) for large-scale data analysis. Through your taught modules, you will examine:

Statistical data modelling, data visualisation and prediction.
Machine learning techniques for cluster detection, and automated classification.
Techniques for processing massive amounts of data.
Domain-specific techniques for applying data science, including: computer vision, social media analysis, intelligent sensing and internet of things.

Case study-based projects that show the practical application of key skills in real industrial and research scenarios.

Career paths

The postgraduates go on to work in a wide variety of careers and sectors, including technology, healthcare, finance, consulting, marketing and academia. The broad range of skills gained through programmes in this School, coupled with multiple opportunities for extra-curricular activities and work experience, has enabled postgraduates to move into careers such as:

Machine Learning Researcher
Data Scientist
Head of Data Engineering
Big Data Analyst
Business Analyst
Technical Analyst

In organisations including:

IBM
Dataiku
Accenture
Blackrock
Credit Suisse
NHS

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Programme Structure

Courses include:

Applied Statistics
Data Mining
Machine Learning
Natural Language Processing
Big Data Processing
Neural Networks and Deep Learning
Digital Media and Social Networks
Risk and Decision Making for Data Science and AI

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Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2026-09-21 00:00:00
- Apply before 2026-09-01 00:00:00 , International
- Apply before 2026-09-07 00:00:00 , National

Language

English

TOEFL^® IBT

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PTE Academic

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Credits

180 alternative credits

Delivered

On Campus

Campus Location

London, United Kingdom

Disciplines

Data Science & Big Data View 408 other Masters in Data Science & Big Data in United Kingdom

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Academic requirements

GPA

Upper Second Class

English requirements

TOEFL^® IBT

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PTE Academic

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Other requirements

General requirements

A 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline.
English Language Requirements.
Completed application form.
Academic qualifications.
Referee details.
Statement of purpose.
Curriculum Vitae (CV)/Resume.

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

35250 GBP / year

≈ 35250 GBP / year
Domestic Applies to you

Applies to you

Citizens or residents

13250 GBP / year

≈ 13250 GBP / year

Living costs

London

United Kingdom

1137 - 2157 GBP / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Key Features

Career paths

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Credits

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Other requirements

General requirements

Make sure you meet all requirements

Tuition Fees

International Applies to you

Domestic Applies to you

Living costs

London

Funding

Check for any work restrictions

Scholarships Information

Available Scholarships

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