BSc Business Analytics with Placement Year
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 with Placement Year, a degree spanning mathematics and statistics, software engineering, and business management. Core topics include Programming, Data Analysis, Statistics, Laboratory Techniques, Research Methods, Project Management, Accounting, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. The four-year programme includes an approved industry placement year in the third year and culminates in a final-year project. The first year covers core foundations through Analytics Implementation I: Spreadsheets and Databases, Business Analytics Programming, Foundations of Business Analytics, and Predictive Analytics I: Regression and combinatorial techniques. The second year builds upon this knowledge with 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 can choose from various optional modules in the second year, such as Digital Business Models, Financial Accounting 2, and Operations Management. The final year involves advanced study with 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 Corporate Social Responsibility and Sustainable Business, Managing High-Growth Businesses, and Project Management.
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
- Realising Success
- 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 Accounting 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
- Business Placement
- Analytics Implementation III: Knowledge Management, Methods and Ethics
- Analytics in Action I
- Analytics in Action II
- Final Project
- Prescriptive Analytics III: Optimisation
- Corporate Social Responsibility and Sustainable Business
- Managing High-Growth Businesses
- Marketing in the Digital Age
- Project Management
- Risk Management
- Strategic Operations Management
- Technological Innovation