Advanced Fraud Analysis

This course is designed to familiarize students with innovative analytic approaches used to perform complex fraud analysis. Data mining and predictive analytical skills will be discussed. It also introduces the detailed approach of performing a complex fraud analysis. Topics include: precrime data mining, investigative data warehousing, link analysis, text mining, neural networks, machine learning, intrusion detection, and the Entity Validation System (EVS).

Credit Value: 4
Mode of Delivery: Blended
Mode of Assessment: Assignments
Delivery Timeline: Semester
Start Date: 26/7/2021
End Date: 09/05/2021