Business Analytics and Decision-Making
Overview
- Credit value: 15 credits at Level 5
- Convenor: Dr Abdulrahman Al-Surmi
- Assessment: a 3500-word report (100%)
Module description
Business analytics refers to the way in which enterprises such as global business, non-profit organisations and governments utilise data to obtain insights for their decision-making.
In this module we introduce you to the fundamental concepts of business analytics. You will also learn about descriptive statistics, modelling, forecasting and prescriptive analytics for decision-making.
Together we will discuss business cases to help contextualise the application of theoretical business analytics models.
Indicative syllabus
- Data types and presenting data
- Tabulating data
- Descriptive statistics
- Data-driven decision-making
- Simulations, e.g. Monte Carlo
- Time series/forecasting
- Clustering
- Text mining
Learning objectives
By the end of this module, you will be able to:
- understand and evaluate the role of business analytics
- apply business analytical methods to business scenarios
- analyse and interpret the outputs of forecasting results
- propose solutions to address business scenarios and make decisions by applying business analytical techniques.