UNIVERSITY OF LONDON 
ST2187: Business Analytics, Applied Modelling and Prediction 
Final Examination Guide and Notes 2025 
 
Part 01: Revision Notes 
Part 02: Exam Practice Questions and Answers 
Part 03: Sample Final Examination Paper 
Part 04: Suggested Solutions to Final Exam Paper 
 
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ST2187: Business Analytics, Applied Modelling and Prediction

£25.00

ACADEMIC YEAR 2025 - 2026

University	University of London
Module Code	ST2187
Module Level	5
Module Name	Business Analytics, Applied Modelling and Prediction
Notes Title	Final Examination Guide and Notes
Page Length	60

A comprehensive and easy-to-understand set of notes covering all lecture content and examinable topics for ST2187: Business Analytics, Applied Modelling and Prediction at the University of London. These colour-coded notes are organised in an understandable way. They offer vital information about exam format, what will be on the exam, and key concepts you should focus your studies on. Concepts and principles are not simply named or described in passing but are described thoroughly. You can use these notes as a reference, to understand the topics better and improve your grades in the final examination!

ST2187: Business Analytics, Applied Modelling and Prediction equips students with essential quantitative skills for business decision-making, focusing on statistical and mathematical modelling. It covers key topics such as data visualisation, probability, regression analysis, hypothesis testing, and forecasting. By exploring decision-making under uncertainty, optimisation models, and Monte Carlo simulations, students learn to apply analytical techniques to real-world business challenges. The course also introduces data visualisation tools like Tableau to enhance data interpretation and presentation.

By the end of the course, students will be able to build and evaluate business models, analyse complex datasets, and apply statistical methods to support managerial decisions. They will also develop critical thinking skills to assess model limitations and avoid potential misuse. This course provides a strong foundation in business analytics, preparing students to make data-driven decisions in various professional fields.

MODULE CODE	MODULE NAME
AC1025	Principles of Accounting
AC2091	Financial Reporting
AC2097	Management Accounting
AC3059	Financial Management
EC1002	Introduction to Economics
EC2020	Elements of Econometrics
EC2065	Macroeconomics
EC2066	Microeconomics
FN1024	Principles of Banking and Finance
FN2029	Financial Intermediation
FN2190	Asset Pricing and Financial Markets
FN2191	Principles of Corporate Finance
FN2203	Principles of Asset Pricing
FN2208	Financial Data Analysis
FN3023	Investment Management
FN3092	Corporate Finance
FN3142	Quantitative Finance
FN3204	Investments and Portfolio Management
FN3206	Derivatives and Risk Management
MN1178	Business and Management in a Global Context
MN2028	Managerial Economics
MN3141	Marketing Management
ST104A	Statistics 1
ST104B	Statistics 2
ST2187	Business Analytics, Applied Modelling & Prediction

ST2187: Business Analytics, Applied Modelling and Prediction

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