BSc Data Analytics
A hands-on degree that turns statistical thinking and Python/R skills into real decisions — built for analysts, not researchers
Your journey starts here
Journey overview
This structured pathway combines theoretical knowledge with practical experience, preparing you for real-world impact in your field.
What you'll get
Accredited Level 7 qualification aligned to industry standards
Who it's for
This programme suits learners who are drawn to working with numbers but want to apply that interest in practical, business-facing roles rather than in academic or research settings. You might be a school leaver with strong maths, a professional looking to formalise analytical skills you have developed on the job, or someone already working with spreadsheets and reports who wants to move into a properly technical analytics career. No prior programming experience is required, though comfort with quantitative reasoning will help you hit the ground running.
Career progression
Graduates typically move into analyst roles across finance, healthcare, retail, tech, and the public sector, with many progressing within three to five years to senior analyst, analytics manager, or BI lead positions. Those who want to go deeper into modelling and machine learning can step across into data science roles, or pursue a specialist MSc in areas such as Applied Statistics, Business Analytics, or Artificial Intelligence.
About this programme
Data Analytics is the discipline that sits at the point where numbers meet judgement. This degree teaches you to gather, interrogate, and communicate data in ways that organisations can actually act on — whether that is spotting a trend in customer behaviour, building a dashboard for a board presentation, or stress-testing a business model with statistical methods.
The curriculum moves from the foundations upwards: probability and inferential statistics, database querying with SQL, and programming in Python and R for data manipulation and analysis. You will spend significant time on data visualisation — not just making charts, but crafting the right visual argument for the right audience. Real datasets drawn from finance, public sector, retail, and health give the technical modules practical weight throughout.
Where a Data Science degree leans toward building predictive models and machine learning pipelines, this programme is deliberately applied. The emphasis is on interpretation, communication, and decision-support: the skills employers in analytics roles actually need the day you walk through the door.
Accredited Providers
Choose from 1 leading providers offering this programme across the UK.
What You'll Learn
Learning Outcomes
Tech Industry Gold
Employer-Led Learning Outcomes
These learning outcomes are employer-led, not created in isolation. They're reviewed regularly by our specialist employer panel, so every accredited course keeps pace with what the tech industry genuinely needs.
© Tech Industry Gold — a TechSkills accreditation. TechSkills is a techUK company.
What You'll Develop
Key Skills
Career Outcomes
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