Business Intelligence and Data Analytics
MODULE CODE
CREDIT VALUE
Module Aims
Aim 1
The main aim of the module is to provide a comprehensive, up-to-date guide to moder management support system technologies, and showcase how they can be used for better decision-making. The main objectives of the module are to:
Aim 2
Provide an in-depth knowledge of the use of enterprise systems
Aim 3
Study the type of data that the enterprise systems generate
Aim 4
Study how that data might be used to support decision making within an enterprise
Module Content
- Decision Making and Analytics: Business Environment, Computerized Support, Managerial Decision Making, Decision Support Systems, BI Methodology, Analytics Overview
- Descriptive Analytics: Data Warehouses, Data Mining Concepts, Business Reporting,Visual Analytics, and Business Performance Management
- Predictive Analytics: Data Mining, CRISP-DM, SEMMA, KDD, Tools, Techniques for Predictive Modelling, Text Analytics, Text Mining, Sentiment Analysis, Web Analytics, Web Mining, and Social Analytics
- Prescriptive Analytics: Model-Based Decision Making: Optimization and Multi-Criteria Systems, Modelling and Analysis: Heuristic Search, Methods and Simulation, Automated Decision Systems and Expert Systems, Knowledge Management and Collaborative Systems
- Big Data and Future Directions for Business Analytics: Big Data Analytics, Emerging Trends and Future Impacts
Learning Outcomes
On successful completion of this module, a student will be able to:
Teaching Methods
Lectures deliver factual material, introduce key concepts direct reading and relate academic aspects to practical considerations.
Tutorial sessions allow students to apply the techniques and reinforce the material delivered in the lecture.
Practical sessions enable students to discuss material and complete online or paper-based exercises.
The module will be assessed by one written course work. The assignment requires the student to strategically use prescriptive and predictive analytics in business scenarios.
Assessment Methods
This module is assessed through a case study portfolio of practical work.
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Compulsory
