Duration:
1 year
Number of credits:
180 credits
Start date(s):
September 2026
The MSc Data Science Applications (Conversion) provides a clear and accessible route into data science, equipping you with the skills to transition into one of the most in-demand areas across industries.
Designed specifically for graduates from non-computing or non-STEM backgrounds, this programme enables you to build confidence and capability from the ground up, preparing you for entry-level and early-career roles in data-driven fields.
You will follow a structured and supportive learning journey, starting with the fundamentals of programming, mathematics, and statistics, before progressing to more advanced topics. As your knowledge develops, you will explore how data informs decision making, and learn to apply analytical techniques to solve real-world problems across a range of sectors.
Throughout the course, you will:
- Build core skills in programming, data handling, and development practices
- Develop an understanding of mathematics and statistics for data analysis
- Explore machine learning techniques and their application to different data problems
- Learn to analyse, interpret, and visualise real-world data
- Strengthen problem-solving, communication, and teamwork skills
You will learn through an applied, practice-focused approach, using guided labs, workshops, and problem-based tasks that reflect professional environments. The curriculum is carefully designed to support your progression step by step, ensuring you gain both technical knowledge and the confidence to apply it effectively.
The programme culminates in an applied postgraduate project, where you will investigate a contemporary data science challenge and use real datasets to develop solutions. This experience will allow you to integrate your learning, demonstrate your skills, and build a portfolio relevant to employers.
Did you know?
By the end of your degree, you will be equipped with the technical expertise and transferable skills needed to move into data science and related digital roles. Whether you are changing career or reskilling, you will graduate ready to apply data-driven thinking in a wide range of professional contexts.
Modules
- Development for Data Science Applications
- Mathematics and Statistics Concepts for Data Science
- Applied Machine Learning
- Applied Data Analytics and Visualisation
- Capstone Project
These are the current planned modules on this course and may be subject to change.
Careers
A degree in Data Science opens the door to a wide range of high-demand career opportunities.
You could pursue roles in sectors such as fintech, banking, management consultancy, travel and transport, utilities, and healthcare, where your analytical and problem-solving skills are highly valued.
The programme’s final project allows you to work on a real-world task aligned with your career goals, giving you practical experience that sets you apart to employers.
With strong technical expertise and industry-relevant experience, you will be well equipped to launch a successful career in this fast-growing and dynamic field.
Learning and assessment
How you’ll learn:
Your learning will combine short lectures with hands-on, interactive activities to ensure a balance between theory and practical skills. Guided lab sessions, applied workshops, peer-to-peer learning, and problem-based tasks using industry-relevant case studies will allow you to apply what you learn in real-world contexts. Teamwork is woven throughout the programme, helping you develop collaboration, communication, and professional skills that are essential for the workplace.
How you’ll be assessed:
Assessment is designed to reflect professional practice and develop your applied skills. You will complete a range of coursework including portfolios, practical or technical reports, reflective analyses, and individual or group projects with presentations. Some modules also include time-constrained in-class assessments, such as short tests or supervised practical tasks, where you will analyse problems and produce solutions under pressure.
Assessments start with foundational knowledge and basic application, progressing to tasks that require higher-level analysis, synthesis, and professional communication. Constructive and timely feedback is provided throughout to support your development, while inclusive practices and reasonable adjustments ensure all assessments are accessible without compromising academic or professional standards.
Open days
Get a real taste of our campus, community and what it’s like to study at Roehampton
Applying
UK postgraduate students apply through our direct application system.
Specific entry requirements
UK undergraduate degree at 2:2 or above, or an equivalent international qualification.
This is a conversion course, so applicants from any discipline are welcome.
General entry requirements
International postgraduate students apply through our direct application system.
Specific entry requirements
UK undergraduate degree at 2:2 or above, or an equivalent international qualification.
This is a conversion course, so applicants from any discipline are welcome.
General entry requirements
Fees and funding
UK students
Tuition fees
| Entry date | MSc |
|---|---|
| September 2026 | £11,250 |
Prices shown are for the first year of your degree.
Funding your studies
We also provide other ways to support the cost of living, including on-campus car parking, hardship support and some of the most affordable student accommodation and catering in London.
International students
Tuition fees
| Entry date | MSc |
|---|---|
| September 2026 | £18,980 |
Prices shown are for the first year of your degree.
Funding your studies
We also provide other ways to support the cost of living, including on-campus car parking, hardship support and some of the most affordable student accommodation and catering in London.
Need help or advice before applying?
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