Overview
Turn data into powerful business insights with the BSc (Hons) Business Analytics degree. This course equips you with the practical skills to analyse, visualise, and interpret complex data, helping organisations make informed strategic decisions.
Through hands-on projects and real-world business challenges, you will develop both technical expertise and business understanding, preparing you for a successful career in data-driven industries.
Why Study Business Analytics?
Data is at the heart of modern business. This degree prepares you to work with industry-standard tools and technologies to extract meaningful insights and drive performance.
You will gain skills in:
- Data analysis, visualisation, and interpretation
- Business intelligence and decision-making
- Dashboard creation and reporting
- AI-driven analytics, prompt engineering, and automation
You’ll work with tools such as SAS, Tableau, Python, SQL, Excel, and Stata, ensuring you graduate job-ready.
Course Structure
Foundation Year (Optional)
Available for students who need additional preparation before starting the full degree.
Year 1 Modules
- Essential Quantitative Skills
- The Future of Work
- Laboratory in Data Preparation and Automation
- The Global Economy
Year 2 & Year 3
- Advanced analytics and data modelling
- Business intelligence and visualisation
- AI and data-driven decision making
- Final year capstone project (consultancy, research, or start-up)
Placement Year (Optional)
Gain valuable industry experience between Years 2 and 3.
Modules may be updated to reflect industry trends and developments.
Entry Requirements
Standard Entry
- 96–112 UCAS points (or equivalent)
Foundation Year Entry
- 64–80 UCAS points (or equivalent)
International Foundation Pathway
- 64 UCAS points (or equivalent)
- IELTS 5.5
UCAS Codes
- BSc (Hons): N101
- With Foundation Year: N104
What You’ll Learn
Core Areas
- Data preparation and automation
- Statistical analysis and modelling
- Business strategy and global markets
- AI and machine learning applications in business
- Data storytelling and communication
Practical Experience
- Hands-on computer lab sessions
- Real-world business case studies
- Industry-focused projects and simulations
- Portfolio development for employability
Teaching & Learning
- Case-based and experiential learning
- Interactive lectures and workshops
- Computer lab-based practical sessions
- Team projects and real business challenges
You’ll benefit from:
- Access to AI-enabled analytics tools through SAS partnership
- Business simulation exercises
- Exposure to real-time financial data systems
Assessment
Assessment reflects real industry practice and includes:
- Data analysis projects and portfolios
- Business reports and presentations
- Case study evaluations
- Final capstone project
Facilities & Opportunities
- Business Laboratory for entrepreneurship and innovation
- Bloomberg Trading Room with real-time financial data
- Modern digital learning platforms and analytics tools
Careers
Graduates are highly sought after across industries where data drives decision-making.
Potential career roles include:
- Business Analyst
- Data Analyst
- Marketing Analyst
- Supply Chain Analyst
- Risk Modeller
- Business Intelligence Consultant
You can work in sectors such as finance, consulting, healthcare, retail, logistics, and technology.
Career Support
You’ll receive ongoing support to help you achieve your career goals, including:
- CV and interview preparation
- Career coaching and mentoring
- Employer networking events
From your first day, you’ll build the skills needed to succeed in a competitive job market.
Learning Experience
This course follows a hands-on, practice-driven approach, where you work through the full analytics lifecycle—from data collection to decision-making.
By graduation, you’ll have a strong portfolio of real-world projects, making you a confident, job-ready professional ready to thrive in data-driven roles.