Data Analytics BSc
Study of how to collect, analyse, and interpret data to solve real-world problems.
Is this for you?
This degree could suit you if you:
Enjoy working with data
Like problem-solving
Are interested in business or tech
Want a high-demand career
Are analytical
Popular Career Fields
Technology & Startups
Finance & Banking
Healthcare & Public Health
Business & Management
Your Personality Might Be:
Analytically minded
Finance & Banking
Problem-solver
Detail-oriented
What is it?
What Is a Data Analytics Degree?
Data Analytics is the study of how to use data to make better decisions. It combines mathematics, statistics, computing, and business understanding to find patterns, make predictions, and guide strategy in every field from healthcare to sport.
Why Study Data Analytics?
In today’s digital world, data is everywhere - and companies need people who can make sense of it. Studying Data Analytics gives you the skills to turn numbers into insights that shape products, policies, and progress.
Course Summary
Study of how to collect, analyse, and interpret data to solve real-world problems.
What you'll study
Most Data Analytics degrees cover:
Statistics and probability
Programming for data analysis (often Python, R, or SQL)
Data visualisation and storytelling
Machine learning and predictive modelling
Databases and information management
Business analytics and decision-making
Ethics and data governance
Later in your course, you can usually specialise, for example, in big data, artificial intelligence, finance, or environmental analytics.
Degree Types
BSc (Bachelor of Science): Focuses on analytical, mathematical, and technical skills.
Integrated Master’s: A four-year degree offering advanced research and practical applications of data science.
Skills You'll Gain
A Data Analytics degree builds a mix of technical and professional skills, which might include:
Statistical Analysis – interpreting datasets using statistical methods and data modelling techniques.
Data Cleaning & Preparation – organising, transforming, and validating data for accurate analysis.
Data Visualisation – presenting insights clearly through dashboards, charts, and visual tools.
Programming for Data – using languages like Python, R, or SQL to analyse and manage data.
Analytical Problem-Solving – using data-driven approaches to answer business or research questions.
Explore Uni Open Days
Pathways, Placements and Work Experience
CAREERS
Career Pathways
Data Analytics graduates are in high demand across sectors such as:
Finance and banking
Marketing and retail
Technology and telecommunications
Healthcare and government
Sports and entertainment
Work Experiences & Placements
Many universities offer:
Industry placements or sandwich years, often with finance, technology, or public sector organisations.
Summer internships with employers who use data to drive decision-making.
Work experience helps you apply your skills to real business problems and prepare for careers in analytics, consulting, or technology.
Salary Profile
Coming soon
Qualifications, Personal Satement, What to do Next?
AM I ELIGIBLE?
Entry Requirements
A-levels or equivalent including Maths or a strong analytical subject. Computer Science, Further Maths, Business, Economics, or Physics are beneficial.
Personal Statement Tips
Show your interest in data, problem-solving, or real-world decision-making.
Mention maths, coding, or projects that involved data analysis.
Reflect on how you enjoy finding patterns and drawing conclusions from information.
Include examples such as online data courses, competitions, or team projects.
What to do Next
Compare Data Analytics degrees to see which balance of maths, computing, and business appeals to you.
Attend open days or virtual sessions to explore labs and meet lecturers.
Try free online courses in Python, Excel, or data visualisation.
Follow how data is used in news, sport, or technology to shape decisions.
Wider Reading
The Signal and the Noise by Nate Silver – How data and predictions shape the modern world.
Factfulness by Hans Rosling – A hopeful look at how data can change our understanding of global issues.
Invisible Women: Exposing Data Bias in a World Designed for Men by Caroline Criado Perez – How missing data affects decision-making.
Everybody Lies by Seth Stephens-Davidowitz – What big data reveals about human behaviour.