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Course overview
Step into the future of technology with our Online MSc in Data Science, where you’ll learn to turn complex data into actionable insights.
With practical experience in advanced topics like artificial intelligence, data visualisation, and big data analytics, you’ll build the expertise to thrive in a data-driven world.
Study method
- Online
- Blended
- In-class
- Virtual
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Duration study load
- 2 years part-time
Entry requirements
Higher education requirements:
To be eligible for this online degree, you should hold a second-class honours degree of any background from a recognised university. However, the University of Roehampton encourages non-graduates with appropriate professional qualifications and those with third-class honours degrees to apply.
Language requirements:
This programme is delivered in English. If you’re a non-native English speaker, you’ll need to demonstrate a minimum standard of English language proficiency through a valid English language qualification, such as IELTS, that is no older than two years from the date of issue.
How to apply
- Academic qualifications (certificate or transcript)
- Valid English language qualification
- Personal statement
- Two references
Course features
- Cutting-edge technologies: Learn to work with the latest tools and software in data science, ensuring your skills are always up-to-date.
- Real-world applications: Explore data science in practical contexts, solving complex problems across various industries like finance, healthcare, and social policy.
- Data-driven decision-making: Develop the ability to analyse and interpret data to drive strategic decisions and organisational growth.
- Ethical data science: Engage with key ethical issues in data science, ensuring responsible practices in data collection, analysis, and application.
- Data storytelling: Gain the ability to present complex data insights in clear, compelling ways that drive action and influence stakeholders.
- Cutting-edge research: Contribute to advancements in data science through research-led modules, ensuring your learning is grounded in the latest industry developments.
- Flexible learning: Roehampton’s state-of-the-art virtual learning environment empowers students to manage their studies alongside personal and professional responsibilities.
- Network connections: By connecting with experts and gaining insights from case studies and real-world data, students build a network and gain exposure to industry-relevant challenges.
- Collaborative development: By fostering collaboration, this programme not only sharpens technical acumen but also hones essential interpersonal skills, preparing students for the teamwork integral to data science careers.
- Comprehensive services: Accessible support resources – including academic guidance, career counselling, and learning tools – are available on-demand to ensure students have everything they need to succeed.
Subjects
Build a strong foundation in mathematics for data science by diving into topics such as statistics, probability, calculus, and linear algebra. Develop the analytical skills needed to understand machine learning algorithms and make informed, data-driven decisions.
Learn the core principles of data analysis, transforming raw data into meaningful insights that guide strategy. Explore algorithms, descriptive statistics, and data-wrangling techniques to enhance processes across a range of industries.
Navigate the evolving field of machine learning, exploring methods like decision trees and neural networks. Understand how to evaluate system performance and address ethical considerations, preparing you to apply machine learning in diverse settings.
Master the art and science of data visualisation, learning how to present insights in a clear and engaging way. Study design principles, cognitive processes, and user-focused evaluation to create interactive visualisations for various platforms.
Discover how data science drives innovation across industries like finance and e-commerce. Work with real-world applications to refine your skills, opening doors to a wide array of opportunities in this fast-growing field.
Advance your expertise in deep learning, the technology behind breakthroughs in areas like autonomous vehicles and healthcare. Apply machine learning techniques to solve complex problems, equipping yourself to design and implement cutting-edge solutions.
Apply your knowledge to a focused study or consultancy project, showcasing your expertise and consolidating your learning from the programme.
About University of Roehampton Online
The University of Roehampton has been shaping futures since the 1840s, earning a reputation as one of London’s leading higher education institutions.
For over 10 years, we’ve pioneered online learning, offering flexible, expert-led courses that fit around your life.
Ranked in the top 15% of young universities worldwide (THE Young University Rankings 2024) and among the top 10 UK universities for postgraduate satisfaction two years running (PTES),
Roehampton combines academic excellence with a student-first approach to our online business, marketing, and computing degrees.
