MSc Data Science

Official Website

Shortlist

# 51-100QS Subject Rankings

12 monthsProgram duration

35,500 GBPTuition Fee/year

25 Jul, 2025Application Deadline

Shortlist

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

If you want to improve the world through the responsible use of data, the MSc in Data Science will give you the skills to do so. You will learn how to understand, in depth, the computational and statistical principles of modern data science and be skilled at...
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Whether you have a background in numerate sciences, engineering, or computer science, the programme will provide you with the skills to succeed in this exciting and fast-moving discipline. It will equip you with excellent employment prospects to pursue roles in industry as either a data scientist or data engineer as well as for research and development roles.

This MSc aims to:

Equip you with the ability to work across disciplinary boundaries in the effective application and deployment of data-intensive solutions in a variety of contexts.
Give you a breadth and depth of knowledge and skills in computational, machine learning, and statistical principles and the capability for insightful large-scale data analysis, so you will be able to specify and implement analytical pipelines for real-world data at scale.
Provide you with a good understanding of the ethical issues in the application of contemporary data science techniques to real-world challenges, including arguments about the risks, benefits and disadvantages arising from the deployment of these technologies.
Enable you to independently initiate data science projects specified at a high-level perspective, leading them from scoping onward to completion, while exercising appropriate project management methods and maintaining stakeholder engagement.

The MSc in Data Science has been co-designed with industrial partners and is highly relevant to rewarding employment opportunities. There is a strong emphasis on responsible innovation and ethics to encourage you to use your knowledge and skills for societal good in the workplace or through further research. The course is closely associated with excellent research in the University, ensuring leading-edge teaching.

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Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

This MSc aims to:

Equip you with the ability to work across disciplinary boundaries in the effective application and deployment of data-intensive solutions in a variety of contexts.
Give you a breadth and depth of knowledge and skills in computational, machine learning, and statistical principles and the capability for insightful large-scale data analysis, so you will be able to specify and implement analytical pipelines for real-world data at scale.
Provide you with a good understanding of the ethical issues in the application of contemporary data science techniques to real-world challenges, including arguments about the risks, benefits and disadvantages arising from the deployment of these technologies.
Enable you to independently initiate data science projects specified at a high-level perspective, leading them from scoping onward to completion, while exercising appropriate project management methods and maintaining stakeholder engagement.

Read less

Admission Requirements

PTE Academic

67+

TOEFL

88+

Bachelor GPA

3.3+

IELTS

6.5+

A strong (65%) upper-second class honours degree (or international equivalent) in a numerate science, computer science, or engineering. Examples of acceptable degree titles include, but are not limited to Computer Science, Computing, Mathematics, Statistics, Operations Research, Data Science, Software, Engineering, Psychology, Physics, Chemistry, Genetics, Biology, Neuroscience, Economics, Finance, Accounting, Econometrics, AstroPhysics, Geology / Earth Sciences, Civil, Engineering, Mechanical Engineering, Aeronautical Engineering, Chemical Engineering, Systems, Engineering, Electronic Engineering, Electrical Engineering, Nuclear Engineering, Manufacturing, Engineering, Software Engineering, Mining Engineering or Medicine.

Application Deadline

25 Jul 2025

Program Duration

1 Year

Starting Month(s)

Sep

Candidates are required to submit references or letter(s) of recommendation for acceptance

Candidates are required to submit an essay(s) for acceptance

Tuition Fee and Scholarships

Domestic Students

Tuition Fee/year

18,400 GBP

Tuition Fee (Out of State)

International Students

Tuition Fee/year

35,500 GBP

Other Expenses

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:

Where to look for scholarship opportunities

How to apply to scholarships relevant to you

A list of available scholarships around the world

A scholarship application checklist

Download Scholarship Guide

QS subject rankings

Subject: Data Science and Artificial Intelligence

Chart
Data

2025
#51-100

Ranking criteria

Academic Reputation

60.9

Citations per Paper

85.3

Employer Reputation

68.9

H-index Citations

80.7

View all rankings data

Videos & media

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# 51-100QS Subject Rankings

12 monthsProgram duration

35,500 GBPTuition Fee/year

25 Jul, 2025Application Deadline

Program overview

Main Subject

Degree

Study Level

Study Mode

Program overview

Main Subject

Degree

Study Level

Study Mode

Admission Requirements

Exam Scores

Important Dates

Application

Tuition Fee and Scholarships

Tuition Fee

Domestic Students

International Students

Scholarships

In this guide you will find:

QS WUR Ranking By Subject

QS subject rankings

Subject: Data Science and Artificial Intelligence

Ranking criteria

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