For entry in academic year 2025 to 2026
Year 1
You must study the following modules in year 1:
Foundations of Business Analytics
Business analytics is closely related to management science and operational research. It refers to the use of statistical methods and models as well as empirical data to support the process of making business decisions. This module provides general knowle...
Foundations of Finance
The module develops an understanding of the role Finance has in the world today by examining topics such as Ethical Finance, compounding and discounting cash flows, as well as an introduction to risk management. This module is critical for laying the fou...
Introduction to Accounting and Finance
The course seeks to provide an introductory, but comprehensive overview of financial accounting, management accounting, and financial management to non-specialist students. The course is delivered with particular emphasis on helping students of management...
Introduction to Management
This module provides you with a broad view on key management related topics. It also provides a chance for you to gain hands-on experience on teamwork through preparation and delivery of a group presentation as part of the module assessment. The lectures ...
Introduction to Marketing
The module introduces you to the basic concepts of marketing and explains its function in today’s business environment. You will discuss principal theory and practice of marketing and how marketing builds value to the firm and the customer with examples a...
Personal Finance
This module develops your understanding of important household financial decisions by introducing some relevant theoretical concepts, showing how actual calculations are made, and then discussing how these individual decisions are important for society. T...
Statistical Methods for Finance
Statistical Methods for Finance is a critical module for you to learn basics for future modules on Econometrics, as well as their final year dissertation. This module covers important topics such as probability, discrete and random variables, Probability...
You must also choose from the following modules in year 1:
Analytics Implementation I: Spreadsheets and Databases
This course provides essential knowledge and skills required to support students’ future learning in future data analytic modules. Without prerequisite knowledge in data analytics, this module will cover spreadsheet analytics and relational database t...
Digital Technologies in Business
Digital technologies ranging from the Internet to cloud computing, artificial intelligence, etc. are often not just a key part of organisational operations; they also create opportunities for developing new digital businesses and their applications can ha...
Finance with Python
Finance with Python is a critical module for you to learn computer programming and perform financial data analysis. This module covers the use of Python in finance, including financial data analysis and statistical modelling, which includes an introductio...
Financial Accounting 1
• Introduction. • Conceptualising Financial Statements. • Introduction to Double Entry & Accounting Equation & Trial Balance. • Adjustments: Accruals, Prepayments & Bad Debt. • Assets, Inventory, Depreciation and Disposal. • Sources of finance and...
Introduction to Economics For Non-Economists
This module introduces economic principles, theories, and methods of analysis. It provides a framework for the application of economic theory to real-world problems. The module will cover key concepts in economics. It will provide a non-technical overv...