Middlebury Institute of International Studies at Monterey

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MBAG 8674

Fraud Data Analytics

Big Data is at the forefront of importance across many business decisions to include risk management. The challenge is coming up with organized, targeted ways to get at the relevant data among the seemingly overwhelming mass of data to address selected management/business questions/problems. With technology, big data analytics provides a method/tool to address that challenge. All businesses can become victims of fraud, thereby suffering financial and non-financial (e.g. reputational) losses. Auditors/fraud examiners/anti-fraud professionals can integrate big data analytics technology to identify abnormalities and fraudulent transactions to mitigate/stop losses from fraud.

This course will focus on selected topics within Forensic Accounting and covered on the CFE (Certified Fraud Examiner) Exam. Students will learn about different types of occupational (employee/internal) fraud schemes as defined by the ACFE (Association of Certified Fraud Examiners). This course will focus on data analytics for fraud detection & investigation. Specifically, topics include fraud data analytics for cash skimming & larceny, billing schemes, payroll schemes, expense reimbursement schemes, and corruption. Students will have “hands-on experience” using Data Analysis Software (CaseWare IDEA) to learn how to identify red flags/abnormalities in selected fraud schemes. Cases will be used in the course.

Subject:
International Management
Department:
International Management
Division:
Intl Policy & Management
Requirements Fulfilled:

Sections

Spring 2019 - MIIS

MBAG8674A-S19 Lecture (Chan)

Spring 2018 - MIIS

MBAG8674A-S18 Lecture (Chan)

Spring 2017 - MIIS

MBAG8674A-S17 Lecture (Chan)

Fall 2015 - MIIS, MIIS Workshop

MBAG8674A-F15 Lecture (Chan)