Unlock new opportunities in the digital arena.

Ranked in the top 15% of young universities worldwide

Times Higher Education Young University Rankings, 2024

Top 10 for postgrad
satisfaction

Postgraduate Taught Experience Survey, 2023

#1 modern university in london 

Times Good University, 2022

Learning at Roehampton

Get the most out of an online programme designed around your lifestyle and the future you want.

Internationally-recognised degree


Earn a prestigious computing qualification, guided by industry experts and respected by employers worldwide.

Gain advanced digital skills

Acquire essential technical expertise through real-world learning to thrive in a wide range of computing and technology-driven industries.

Personalised learning experiences

Achieve your career goals with tailored support and personalised feedback throughout your studies from our dedicated academic and career teams.

Modules

Support

We want you to feel supported during your studies and beyond. As an online student of the University of Roehampton, you’ll benefit from our:

Advanced virtual campus

Get access to our cutting-edge virtual learning platform, Canvas, where you can find additional online resources and materials at your disposal.

Personalised career services

Just as you would on-campus, online graduate students are supported by our dedicated Careers Support Team, offering hands-on guidance and expert assistance from day one.

Global networking opportunities

Connect with a diverse community of professionals and peers from around the world, expanding your network and gaining valuable insights into global business practices.

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About the programme

Embrace the future of technology with our Online MSc in Data Science, where you'll master the art of transforming complex data into actionable insights. Engage with cutting-edge topics like artificial intelligence, data visualisation, and big data analytics, equipping yourself with the skills to lead in a data-driven world. 

You’ll gain hands-on experience working with real-world data sets, preparing you for diverse applications across various industries, from finance to social policy.

• Mathematics for Data Science
• Data Analytics
• Machine Learning
• Data Visualisation
• Applications of Data Science
• Deep Learning Applications

Wrapping up this degree you’ll complete a final project, worth 60 credits.

What skills will you gain?

Career

With your sought-after data science expertise, your career prospects will expand into diverse industries, empowering you to drive data-driven decision-making and innovation in a variety of roles, such as:

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Analyst
• Data Engineer
• Quantitative Analyst

We believe learning is possible anywhere, anytime, and in any way. You’ll work through each 20-credit module at your own pace, allowing you to balance your studies with your professional commitments seamlessly. The program offers a blend of hands-on learning, including engaging videos and collaborative workshops, culminating in a practical dissertation to get you future-ready.

Applying

Higher education requirements

To be eligible for this online degree, you should hold a second-class honours degree, preferably of a STEM background. However, the University of Roehampton encourages non-graduates with appropriate professional qualifications and those with third-class honours degrees to apply.

English language requirements

Our programmes are delivered in English. Non-native English speakers must demonstrate a minimum standard of English language proficiency through a valid English language qualification that is no older than two years from the date of issue. Accepted language tests and scores for postgraduate degrees include:

• IELTS Academic – 6.5 overall
• Roehampton’s English Language Test – 6.5 overall
• Kaplan Test of English – 478-509 overall
• TOEFL IBT – 89 overall
• PTE Academic – 59 overall
• Cambridge – 176 overall

Explore advanced machine-learning techniques 

Investigate real-life applications of deep learning, gaining insights into technologies that drive innovation in various industries.

Apply data science across industries 

Analyse the transformative impact of data science applications in sectors like marketing and healthcare, gaining hands-on experience with leading frameworks.

Design impactful data visualisations 

Create engaging visual representations of data by applying principles of design and cognitive science, while integrating web development techniques for interactive delivery.

Master data analysis fundamentals 

Cultivate essential skills in examining diverse datasets, utilising programming algorithms and descriptive statistics to draw meaningful conclusions.

Build intelligent learning systems 

Develop expertise in applying machine learning techniques, including decision trees and neural networks, to solve complex problems and evaluate system performance.

Understand mathematical foundations 

Acquire the mathematical skills necessary for data science, focusing on statistics, probabilities, and linear algebra to formulate and analyse data-driven solutions.