BSc Business Analytics
Entry requirements
A level: AAB IB: Pass, with 34 points overall with 17 points at Higher Level
About this course
Bachelor of Science in Business Analytics, a mathematics and statistics and software engineering and business management degree centred on business analytics, management science, and operational research. Core topics include Programming, Data Analysis, Statistics, Laboratory Techniques, Research Methods, Project Management, Accounting, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. The course holds professional accreditation from CIMA and AACSB, and includes a final-year project alongside options for an industry placement year or studying abroad. The first year establishes core competencies through modules such as Analytics Implementation I: Spreadsheets and Databases, Business Analytics Programming, Foundations of Business Analytics, and Introduction to Accounting and Finance. The second year progresses into specialized areas with compulsory study in Analytics Implementation II: Visualising Data for Effective Communication, Business Analytics Programming II: Algorithmic Thinking, Consulting: Context, Concepts and Practice, and Predictive Analytics II: Business Forecasting. Students in the second year may also select from various optional modules including Digital Business Models, Financial Management, and Operations Management. The final year focuses on advanced concepts and application, featuring compulsory study in Analytics Implementation III: Knowledge Management, Methods and Ethics, Analytics in Action I, Analytics in Action II, and Prescriptive Analytics III: Optimisation. Optional modules in the final year include Advanced Social Data Science, Project Management, and Risk Management, alongside the execution of the Final Project module.
Modules
- Analytics Implementation I: Spreadsheets and Databases
- Business Analytics Programming
- Foundations of Business Analytics
- Introduction to Accounting and Finance
- Introduction to Management
- Introduction to Marketing for Business
- Predictive Analytics I: Regression and combinatorial techniques
- Prescriptive Analytics I: Fundamentals of Management Sciences
- Analytics Implementation II: Visualising Data for Effective Communication
- Business Analytics Programming II: Algorithmic Thinking
- Consulting: Context, Concepts and Practice
- Predictive Analytics II: Business Forecasting
- Prescriptive Analytics II: Simulation Business
- Digital Business Models
- Financial Econometrics 2
- Financial Management
- Innovation, Technology and the Environment
- Introduction to Social Data Analytics
- Making Successful Decisions
- Management Ethics
- Operations Management
- Portfolio Theory and Financial Markets
- Problem Structuring Methods
- Analytics Implementation III: Knowledge Management, Methods and Ethics
- Analytics in Action I
- Analytics in Action II
- Final Project
- Prescriptive Analytics III: Optimisation
- Advanced Social Data Science
- Corporate Social Responsibility and Sustainable Business
- Marketing in the Digital Age
- Project Management
- Risk Management
- Strategic Operations Management
- Technological Innovation