100% online MSc Computer Science with Data Analytics

100% online MSc Computer Science with Data Analytics
Apply by: 13 October 2026
To begin: 27 October 2026
  • 180 credits •
  • 2 years part-time

A cutting-edge online MSc Computer Science with Data Analytics from a university with leading teaching and research ratings, and superb student satisfaction scores.

This is Keele:

  • Ranked 43rd in the UK across three major league tables*
  • Rated Gold for teaching excellence**, with 80% of our research judged world-leading or internationally excellent***
  • Industry-led course, shaped through real collaboration with employers
  • A dedicated Student Success Coordinator with you from enrolment to graduation
  • 10% tuition fee discount for Keele graduates
*Guardian, Times/Sunday Times and Daily Mail, 2026
**TEF,2023
***REF, 2021
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A flexible online Master’s designed to equip you for success in a data science career

The big data analytics market is forecast to grow at an annual growth rate of 29.7% and will be worth $40.6 billion by 2023 (Global Big Data Analytics Forecast to 2023, Frost and Sullivan). The online MSc Computer Science with Data Analytics from Keele University has been carefully designed to develop the knowledge and skills required to capitalise on the acute skills gap in this fast-growing area and succeed in computer science and data analytics careers.

With no prior academic or professional experience in computer science or data science required for admission, the programme is intended for proactive individuals who wish to embark on an exciting new career in this high growth field. Equally, it is also for professionals who currently work in computer science and data analytics roles and are looking for an academic qualification to accelerate their career progression.

The course equips you with sought after skills in a high demand field and prepares you to excel in a wide range of careers, from data scientist to data analyst to data engineer, at the numerous companies who are investing in the use of data collection and data analytics to support the delivery of efficient business decisions, and superior services and products, such as investment analysis, customer satisfaction analysis and the monitoring of environmental pollution.

Set yourself apart by studying with a university celebrated for academic excellence

The Keele University Computer Science and Mathematics Department is fortunate to have academics who are world-leading experts in their field and are actively involved in cutting-edge research, with 80% of the university’s research rated as ‘world leading’ or ‘internationally important’ in the latest Research Excellence Framework.

The department regularly wins and is awarded funding from the leading UK research funding agencies, ESPRC and BSRC, as well as prestigious funding bodies such as the Leverhulme Trust.

An interactive online learning experience from leaders for student satisfaction

You will learn in a highly engaging and interactive online learning environment that has been expressly designed to facilitate collaboration and peer-to-peer learning, featuring tutorials, discussion groups and online forums. Each student will be assigned a dedicated Keele Student Success Coordinator, who will provide you with all of the support you need from enrolment through to graduation.

Keele University is proud of its reputation for delivering a superb student experience and our student-centric credentials are supported by our consistent top 3 rankings for student satisfaction and course satisfaction in the National Student Survey, as well as in other surveys and rankings including the Guardian rankings (2019) and the PTES survey (2019).

What you will learn

On this data science course, you will develop an in-depth understanding of data management across a range of areas, from finance to environmental sustainability. You will study the foundations of artificial intelligence methods and advanced applications of data visualisation techniques and tools in key fields, such as smart and green energy management, global healthcare monitoring and insurance risk analysis. You will learn programming languages, including Python, R and Matlab.

Knowledge and skills taught include:

  • Visualisation for data analytics
  • Mathematics for AI and data science
  • Statistical data analytics and databases
  • Design and programming
  • User interaction design
  • Software engineering
  • Web technologies and security
  • Research and consultancy skills

A career-focused Master’s designed for a challenging and dynamic world of work

The online MSc Computer Science with Data Analytics has been designed for a global audience and can be studied from anywhere in the world. The flexible course design means that you can study around your work and family commitments and can continue to earn and progress in your role whilst you study. The course is industry-led, benefitting from the department’s collaborative projects with industry partners, such as the ‘Knowledge Transfer Partnership’, with Bentley Motors Ltd.

By studying part-time, you are able to continue working full-time and apply your learning to your current role. With six starts a year, you’re not restricted to the traditional academic year and can begin within weeks.

Entry requirements for home and international students

You should normally have, or be about to complete:

  • A 2:2 undergraduate degree or a UK master’s degree (or international equivalent).

Or:

  • A third-class honours degree or an ordinary degree (without honours) or UK equivalent professional qualification with a minimum of two years’ appropriate work experience.

Or:

  • Applicants who do not hold a recognised degree will be asked to provide evidence which demonstrates a minimum of three years’ relevant computing, IT or data management experience. The evidence will be assessed on a case-by-case basis.

The work experience must be at a graduate level, in either managerial or professional capacity normally in computing, IT or data-related employment which may include development, management or significant responsibility in use of IT or data.

If you earned your undergraduate degree outside the UK, you should check that it is equivalent to a 2:2.

English language requirements

If English isn’t your first language you may need to provide evidence of your English language ability. We accept the following qualifications:

  • IELTS at 6.0 overall with no individual component below 5.5
  • TOEFL overall minimum 79
  • PTE Academic overall minimum 50
  • Cambridge (CAE & CPE) overall 169 with minimum scores of 162 in Listening, Reading, Writing and Speaking
  • Duolingo with 95 overall including minimum 85 in each element
  • A degree qualification taught in English from specific countries within the last five years can be considered

Technical requirements

As these programmes are delivered 100% online, you will be required to have access to a desktop computer or laptop of which you have administrative rights which allows you to install software as required. To ensure you can engage with the programmes easily, we would highly recommend utilising a Windows, Mac, or Linux device. Access to Microsoft Office (including Word and Excel) is required (and is included at no extra cost to Keele Students), in addition to the ability to open pdf files via programs such as Acrobat.  

 Canvas LMS Browser and Computer Requirements 

Some modules have additional technical and software requirements which include but are not limited to the following: 

Design and Programming

Anaconda – accessed here 

Web technologies

XAMPP – accessed here 

Statistical Data Analytics and Databases

WEKA – accessed here  

Software Engineer Coding On Computer While Collaborating With Diverse Team.

Build your career in data analytics

Gain in-demand data skills with Keele's 100% online MSc Computer Science with Data Analytics and step confidently into rewarding roles in data science.

Designed for career-changers and ambitious professionals, this flexible online master's equips you to thrive in data-driven positions across sectors, from retail and finance to environmental sustainability.

You'll learn from research-active experts at Keele, internationally recognised for their work in software and systems engineering, machine learning and artificial intelligence. Studying through an interactive online platform, you'll connect with peers from around the world while enjoying the flexibility to fit your learning around work and life.

Through immersive modules and a research-led project, you'll strengthen your programming skills in languages such as Python and Matlab, while deepening your understanding of core computer science principles. With a specialist focus on data analytics, you'll gain expertise in data management, visualisation and AI-driven methods, applying them to real-world challenges like analysing investment patterns, understanding customer behaviour and monitoring environmental change.

Graduate with Keele's online MSc Computer Science with Data Analytics and you'll be ready to excel in data-driven sectors, supporting smarter decisions and shaping the future of tech-enabled organisations.

What will I learn?

You'll develop the expertise to turn complex data into powerful insights. You'll master data management across sectors from finance to sustainability, apply AI methods to real-world problems, and use advanced visualisation tools to communicate findings that drive smarter decisions.

You'll graduate with the capabilities to:

  • Apply mathematical foundations to build accurate models and solve real-world analytical problems
  • Analyse data rigorously and manage databases to inform evidence-based decisions
  • Communicate insights clearly by transforming complex data into meaningful, actionable visuals
  • Develop efficient, user-focused software solutions that meet technical and organisational needs
  • Create intuitive interfaces that improve user experience and engagement
  • Build reliable, scalable systems that support long-term performance and innovation

Programme modules

Core modules

  • Statistical Data Analytics and Databases
  • Visualisation for Data Analytics
  • Mathematics for Artificial Intelligence and Data Science
  • Design and Programming
  • User Interaction Design
  • Software Engineering with Group Project
  • Web Technologies and Security
  • Research and Consultancy Skills
  • MSc Project Literature Review and Problem Formulation
  • MSc Project
Download Brochure

Download our programme brochure to answer your questions

DOWNLOAD BROCHURES
Technician uses tablet in a data center to analyze the server.

How will an online MSc Computer Science with Data Analytics boost my career?

As a graduate, you'll gain the data analytics and AI skills that employers value across sectors, from finance and healthcare to retail and sustainability. You'll be prepared to take on a range of roles, including:

  • Data Analyst, transforming data into clear insights that guide decisions and improve performance
  • Data Scientist, building predictive models and uncovering patterns that drive innovation and strategic advantage
  • Machine Learning Engineer, developing intelligent systems that automate processes and solve complex problems at scale
  • Business Intelligence Analyst, turning data into dashboards and reports that help leaders spot opportunities
  • Software Developer, creating reliable software solutions that meet user needs and support business goals

What are the entry requirements for home and international students?

You can apply now for the MSc Computer Science with Data Analytics at Keele if you have:

  • a UK undergraduate degree at 2:2 (lower second class honours) or higher, or an international equivalent qualification, or
  • a third-class honours degree or an ordinary degree (without honours) or UK equivalent professional qualification with a minimum of two years' appropriate work experience, or
  • at least three years' relevant work experience at a graduate level

English language requirements

If English isn't your first language, you may need to provide evidence of your English language ability. We accept the following qualifications:

  • IELTS at 6.0 overall with no individual component below 5.5
  • TOEFL overall minimum 79
  • PTE Academic overall minimum 50
  • Cambridge (CAE & CPE) overall 169 with minimum scores of 162 in Listening, Reading, Writing and Speaking
  • Duolingo with 95 overall including minimum 85 in each element
  • A degree qualification taught in English from specific countries within the last five years

Technical requirements

You'll need access to a desktop computer or laptop with an up-to-date operating system and a web browser (e.g. Microsoft Edge, Mozilla Firefox or Google Chrome). Access to Microsoft Office 365 is also required and is provided to Keele students at no extra cost.

Some modules have additional technical and software requirements, including:

  • Design and Programming – Anaconda
  • Web Technologies – XAMPP
  • Statistical Data Analytics and Databases – WEKA

How much are the tuition fees for this course?

The total cost of this programme is £7,440. You can pay the full fee at the start of the programme or spread the cost by paying £620 per module. If you're based in the UK or the EU, you may be eligible for a government postgraduate loan to cover the full course fee. If you've previously completed a degree at Keele, you're eligible for a 10% tuition fee discount, reducing the total cost to £6,696.

£7,440

Total Fees

£620

Per Module

FAQs

When does this course start?

There are six start dates a year, so you'll be able to start soon after your application has been accepted. Find out how soon you can start.

What counts as 'relevant experience' if I don't have a degree?

If you have worked for at least three years in either a managerial or professional capacity in computing, IT or a data-related role, you may be eligible to apply for this course. Get in touch and we'll make an assessment based on your individual circumstances.

Will I need to attend classes on campus during this course?

No, the course is taught fully online via a bespoke virtual learning platform, allowing you to study from anywhere in the world at times that suit you, while accessing teaching support and a global peer community.

Programme Start dates

Next start date: 27 October 2026
Documents deadline: 20 October 2026
Application deadline: 13 October 2026

Fees

Total fees: £7440
Per 15-credit module fees: £620

If you are based in the UK or the EU, you may be eligible for a government postgraduate loan to cover the full course fees.

Keele alumni discount: if you have successfully completed an undergraduate degree at Keele, you are eligible for a 10% tuition fees reduction, reducing total fees payable to £6,696.

You pay tuition fees for each module taken, either module-by-module or in full at the start of your course.

If you pay module-by-module, you will pay in instalments of £620.

Modules

Top 10

for Student Experience

(Times Good University Guide, 2020) Detail Badge

Award

Britain's best university, as ranked by students

(StudentCrowd University Awards, 2022) Detail Badge

80%

of research 'world-leading' or 'internationally excellent'

(Research Excellence Framework, 2021) Detail Badge

96%

Graduate Employability

(HESA Destinations of Leavers from Higher Education 2017) Detail Badge

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