Overview

The demand for professionals who can interpret and use data effectively is skyrocketing, and this programme equips you with the practical skills to meet that demand.

You will gain expertise in a variety of programming languages and tools like Python, SQL, and R, alongside experience with key machine learning algorithms and statistical methods. More than just technical proficiency, you will develop critical thinking and problem-solving skills that will help you frame data-driven solutions to complex business challenges.

We will also sharpen your ability to communicate insights, an essential skill in ensuring that the value of your work resonates with stakeholders. By the end, you will be capable of independently conducting data projects, from exploratory analysis to actionable insights.

Programme Structure

This programme consists of the following core and optional modules. Full-time students usually take 60 credits per semester, while part-time students often take one or two modules per term. See the programme specification for full details.

YEAR 1 - SEMESTER 1

Modern Database Systems

AI in Business: Strategies and Implementation

Data Programming

YEAR 1 - SEMESTER 2

Visual Analytics and Data Storytelling

Advanced Business Intelligence and Analytics

YEAR 1 - SEMESTER 3

Master's Final Project (FP10)

Audience

Data Science Professionals
Aspiring Data Scientists
Business Analysts
IT Professionals
Engineers Transitioning to Data
Data Analysts
Data Engineers
Career Switchers to Data Science
Senior Data Analysts
Data-Driven Managers
AI Enthusiasts
Digital Transformation Leaders
Business Intelligence Professionals
Software Engineers
Data Science Consultants

Key information

Duration

Full-time
- 12 months
Part-time
- 24 months

Start dates & application deadlines

Starting 2026-08-01 00:00:00

Application deadline not specified.
Starting 2026-10-01 00:00:00

Application deadline not specified.

Language

English

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Credits

90 ECTS

180 CATSs

Delivered

Online

Regular mandatory meetings
Proactive tutoring and support
Online group works/assignments

Campus Location

London Borough of Sutton, United Kingdom

Disciplines

Data Analytics View 43 other Masters in Data Analytics in United Kingdom

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

IELTS

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Cathoven AI IELTS Preparation

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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

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98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

The information below reflects the current course structure and module details. Updates may be made annually, and revised details will be published in the Programme Specifications ahead of each academic year. The regulations governing this course are available on our website.

To qualify, applicants must have a degree in STEM (science, technology, engineering or math).

Work experience

Alternatively, applicants without a degree can qualify if they have at least 4 years' commercial experience in a technical or analytical position involving intellectually challenging day-to-day tasks.

Technological requirements

Some programmes require a foundational understanding of IT through academic or professional experience.If you lack this background but meet other criteria, you may receive a conditional offer, subject to completing our free IT Foundation and Programming course.Your success in this course shows your commitment and ability to learn advanced digital skills, leading to an unconditional offer.

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

9900 GBP / year

≈ 9900 GBP / year

Additional Details

Talent is global. So is ambition. Where you are from should not affect what you pay. We are proud to offer the same tuition fees to overseas and home students.

Funding

We invite you to explore the funding opportunities available on our website by visiting the Fees and Scholarships pages.

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.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

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

Available Scholarships

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

On this page

About

Overview

Programme Structure

Audience

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Work experience

Technological requirements

Tuition Fees

International Applies to you

Additional Details

Funding

Scholarships Information

Available Scholarships

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