BSc Business Data Analytics (with Foundation Year)
Entry requirements
Offers are tariff based, 48 - 96 tariff points, from Level 3 qualifications* e.g A Levels (including: AS-levels, General Studies) International Baccalaureate: accepted Extended Project Qualification (EPQ): accepted BTEC: Diplomas and Certificate accepted Cambridge Technical: Diplomas and Certificates accepted City & Guilds: Advanced Technical Diplomas accepted Welsh Baccalaureate: accepted Scottish Highers: accepted Irish Leaving Certificate: accepted T-levels: considered on a case-by-case basis We also welcome applications from mature learners. Mature students and/or those with other qualifications are considered on individual merit
About this course
BSc (Hons) in Business and Business and Management, combining business studies with data analytics. Core topics include programming, data analysis, statistics, mathematical modelling, accounting, and artificial intelligence and machine learning. The course includes a foundation year with modules shared across business disciplines including accounting, economics, and marketing. The Commercial Awareness and Insight of Work module provides options for a field trip, industry analysis, or a student-arranged placement.
Modules
- Academic Skills
- Economics
- Introduction to Data Science
- UK Government and Society
- Data Analysis
- Business Functions
- Business Law
- Management Studies
- Financial Accounting
- Media Studies (News Media)
- Principles of Management and Organisation
- Introduction to Contemporary Management Issues in Ethics, Sustainability, Human Resource Management (HRM) and Tourism
- Business Analytics Coding
- Database Applications in Business and Finance
- Business Analytics
- Business Analysis Methods
- Financial Techniques and Analysis
- Darganfod Economeg
- Discover Economics
- Business Information Systems
- Commercial Awareness and Insight of Work
- Data Science
- Infrastructure for Data Analytics
- Investment and Portfolio Management
- Econometrics
- Operations Strategy Across the Enterprise
- Strategic Management
- International Business and Global Competency
- Applied Machine Learning
- Consultancy Project
- Financial Technology (FinTech)
- Advanced Econometrics
- Corporate Governance
- Financial Derivatives