You'll need:
View requirements in the apply section.
Duration:
3 years (full-time)
Start date(s):
March 2026
September 2026
Data is everywhere, in the apps you use, the music you stream, the shops you visit, and the decisions organisations make every day. This degree apprenticeship gives you the chance to earn a full BSc in Data Science while developing real analytical experience in your workplace.
This apprenticeship lets you earn a full degree while working in a real job. You’ll learn how to analyse data, build predictions, use artificial intelligence (AI) tools, and help organisations make smarter decisions. By the time you graduate, you’ll have years of experience, something most university students don’t get until much later.
Whether you’re already working with data or want to step into the field, this programme gives you the technical, creative and professional skills to thrive in a rapidly growing industry.
Learn the fundamentals of coding and how to prepare, explore and visualise data. You’ll use industry-standard tools to create clear charts, dashboards and data stories that support decision-making.
Develop a grounding in the mathematics underlying data analysis. You’ll explore statistical reasoning, probability distributions and techniques used to interpret and validate real-world data.
Cover essential mathematical concepts that power machine learning, including linear algebra, calculus, vectors, matrices, and numerical methods used to build models.
Learn how data is stored, managed and processed at scale. You’ll work with relational databases, query languages and big-data ecosystems used in modern analytics.
These are the current planned modules on this course and may be subject to change.
Discover how computers learn from data. You’ll build models for classification, prediction and pattern recognition, and explore neural networks and deep-learning techniques used across industry.
Develop practical analytical skills by working on real datasets. You’ll clean, transform and interpret data, then carry out a structured project that solves a workplace or real-world problem.
Explore how AI systems reason, plan and make decisions. You’ll learn about intelligent agents, search algorithms, natural language processing and the ethical implications of AI.
Study the responsibilities involved in handling data. You’ll explore privacy, consent, security regulations and the legal frameworks that shape data management in modern organisations.
These are the current planned modules on this course and may be subject to change.
Apply advanced analytics tools to complex datasets. You’ll explore modelling techniques, optimisation, forecasting and how to evaluate model performance in practical scenarios.
Work on sector-specific data problems that reflect your employer’s needs. This may include fraud detection, customer analytics, operational forecasting, or AI-driven automation.
Complete a substantial project based on your workplace, demonstrating how you apply data science to solve strategic challenges. This forms a key part of your End-Point Assessment.
These are the current planned modules on this course and may be subject to change.
Careers
Data scientists are in demand across almost every industry, including finance, healthcare, retail, tech, government, transport and consultancy. This apprenticeship prepares you for roles such as:
- Data Scientist
- Machine Learning Engineer
- AI/Data Analyst
- Business Intelligence Analyst
- Data Engineer
- Predictive Modeller
- Insight Analyst
- Data Strategy or Analytics Consultant
Your experience and project work will support your progression into senior analytical and data-driven leadership roles.
Learning and Assessment
How You’ll Learn:
Learning is flexible and designed to fit around full-time employment. You’ll study through:
- Weekly structured teaching, delivered online and supported by optional campus visits
- Workplace-based data projects, aligned with your organisation’s needs
- Hands-on experience using industry tools for coding, analytics, AI and machine learning
- Regular reviews and mentoring, supported by both your workplace and Roehampton
- Access to campus services, including labs, software, library and study support
This blend allows you to develop advanced data science skills while applying them in real work contexts.
How You’ll Be Assessed:
Assessment is authentic and applied, helping you develop strong analytical and professional capability. You’ll be assessed through:
- Coding tasks and technical exercises
- Data analysis reports and visualisations
- Applied workplace projects
- Presentations and reflective work
- A final End-Point Assessment (EPA), based on your professional project and discussion
Your final project will demonstrate your ability to solve real business challenges using data-driven approaches.
Year-by-Year Overview
Year 1 - Build Core Analytical Skills
You’ll learn the fundamentals of data science, including programming, maths, statistics and data handling. This year builds the foundation for more advanced modelling.
Year 2 - Apply Machine Learning & AI Techniques
Learn how to build predictive models, apply neural networks, work with big data tools and understand ethical data practice. You’ll begin applying your skills in your organisation.
Year 3 - Advanced Applications & Professional Project
In your final stage, you’ll work on advanced analytical challenges and complete your integrated project, showcasing your ability to drive real data-driven solutions in your workplace.
Applying
If you are interested in completing this apprenticeship yourself, please speak to your employer to see if they offer an apprenticeship programme. We would be more than happy to speak to them about setting one up, so please do ask them to get in touch with us if they don’t have something in place.
Minimum entry requirements:
- Employed in a health care role (minimum 30 hours per
week) and employer support to undertake the programme. - Must meet ESFA funding requirements.
- GCSE in English and mathematics minimum grade C or
above or Level 2 equivalency in literacy and numeracy. - If English is not the applicants first language they must
demonstrate proficiency in English Language (ILETS
level 6.0 with a minimum of 6.0 overall with a minimum of
5.5 in any component)
Additional requirements:
- Applicants must also provide via the employer: Fitness to
Work Health Check, Enhanced Disclosure and Barring
Service (DBS) check, confirmation of mandatory training
completion. - Demonstrate values in accordance with the NMC Code 2018 (assessed at interview based on ‘Values Based Recruitment Framework’ Health Education England, 2014).
- Have the capability to learn behaviours in accordance
with the NMC Code 2018. - Have the capability to develop literacy and numeracy
skills required to meet the programme outcomes. - Have the capability to develop digital and technological
literacy in order to meet the programme outcomes.
This apprenticeship is subject to validation.
If you are an employer and would like to offer apprenticeships at your organisation, please get in touch with us by emailing apprenticeships@roehampton.ac.uk.
We can provide you with all the information and guidance you need to set these up.
This apprenticeship is subject to validation.
Find out more
Get more detailed information on our apprenticeships.