This course is supported and endorsed by CPA Australia.

Participants will learn how to plan, design, and apply numerous data analytics tests, including examining and interpreting the results of those tests, to identify the red flags of fraud.

The first day of the course aims to build a strong foundation of data analytical skills by reviewing the types of fraud schemes and examples of data analytics tests that can be performed to detect the warning signs of such schemes. The various data analysis techniques that include both supervised and unsupervised learning for fraud or anomaly detection will be covered in detail. On day two, participants will go through experiential learning where they will apply their knowledge of analytical tests, data sources, and fraud schemes to real data sets and scenarios to uncover trends and patterns in the data.

As we are moving towards safeguarding against financial crime, employees equipped with the skills of data analysis and forensics investigation are at the forefront of fighting against financial crime.

Teaching Team

What You’ll Learn

  • Acquire overall concepts of data analysis in detecting fraud
  • Gain knowledge on common detection techniques of fraud
  • Be better equipped to identify irregularities in data trends and data profile
  • Be able to perform quantitative data analysis

Who Should Attend

  • Junior managers / managers / accountants
  • Executives in the accounting / auditing / finance-related job functions


Basic accounting or finance knowledge

Certificate and Assessment

A Certificate of Participation will be issued to participants who:
  • Attend 75% of the course
  • Undertake and pass non-credit bearing assessment during the course

Continuing Professional Development

This is a CPA Australia validated programme and 16 CPD hours will be awarded to participants who attend the workshop.

Frequently Asked Questions (FAQs)

Q: What coding skills do I need for this programme?
A: No programming skills are required for this programme as we are using spreadsheet application and business intelligence tool for practical application. You will be required to bring along your own laptop and ensure that Microsoft Power BI has been installed prior to the workshop.


Day 1 Schedule (18 Apr 2023)
Time Activities/Topics
9:00 am - 6:00 pm Anti-fraud Data Analytics Tests
When reviewing a company’s financial statements, certain undesirable characteristics may stand out as fraud red flags. Participants will learn how to integrate data analytics tests into fraud risk assessment or investigative work plans through a library of test examples that is organised by categories of occupational fraud risks, such as corruption, bribery, asset misappropriation and financial statement fraud.  

Data Fundamentals
This session will introduce participants to the uses, benefits and challenges of data analytics techniques, as well as the types of data that can be analysed using available software options to perform data analysis tests.

Data Analysis Techniques
Participants will discuss many of the most common data analysis techniques — such as duplicate testing, matching, gap testing and rule-based analytics — that can be used to comb through the data and identify anomalies and red flags of fraud. They will then progress to more sophisticated analysis techniques such as Benford's Law analysis, regression analysis, risk scoring and machine learning to bring fraud detection efforts to the next level. Modern technology also allows for the handling of Big Data with analytics techniques on unstructured data such as text analytics as well as visual, timeline analytics, and transactional risk-ranking techniques that incorporate time intelligence and drill-down capability.

Day 2 Schedule (19 Apr 2023)
Time Activities/Topics
9:00 am - 6:00 pm Case Study 1 - Financial Statement Fraud
This session explores specific data tests that participants can use to spot red flags of fraud in the customer sales cycle in their organisations. They will apply the data analytics techniques by working on a hands-on case study using spreadsheets.

Case Study 2 - Detecting Corruption & Misappropriation of Cash
Discussion scenarios will be used to walk through data analytics techniques to analyse the structured and unstructured data in which warning signs of corruption schemes and misappropriation of cash are often found.

Case Study 3 - Expense Reimbursement Fraud
This session focuses on data analysis techniques to uncover fraud schemes within expense reimbursements. Participants will apply the data analytics by working on a hands-on case study involving expense reimbursement fraud using a business intelligence tool. They will learn how to navigate dashboards and perform effective dashboard actions to uncover anomalies in data.


Category Full Fee After SF Funding
Singapore Citizen (Below 40) $1,926.00 $577.80
Singapore Citizen (40 & above) $1,926.00 $217.80
Singapore PR / LTVP+ Holder $1,944.00 $583.20
Non-Singaporeans $1,944.00 Not Eligible

  • All figures include GST. GST applies to individuals and Singapore-registered companies.
  • You can opt for either SF Series Funding or Mid-Career Enhanced Subsidy. Both cannot be combined.

» Learn more about funding types available

Terms & Conditions:

SkillsFuture Funding

In order to be eligible for the 70% training grant awarded by SkillsFuture, applicants (and/or their sponsoring organisations where applicable) must:
  1. Be a Singaporean Citizen or Singapore Permanent Resident or LTVP+ Holder
  2. Not receive any other funding from government sources in respect of the actual grant disbursed for the programme

SkillsFuture Mid-Career Enhanced Subsidy

To be eligible for the 90% enhanced subsidy awarded, applicants (and/or their sponsoring organisations where applicable) must:
  1. Be a Singaporean Citizen
  2. Be at least 40 years old
  3. Not receive any other funding from government sources in respect of the actual grant disbursed for the programme

SIT reserves the right to collect the balance of the course fees (i.e. the SSG course fee grant amount) directly from the trainees and/or their sponsoring organisations, where applicable, should the requirements not be fulfilled by the trainee.

SIT reserves the right to make changes to published course information, including dates, times, venues, fees and instructors without prior notice.

Key Info

Venue CPA Australia, 1 Raffles Place, #31-01 One Raffles Place, Singapore 048616
Time 09:00 AM to 06:00 PM
Date 18 Apr 2023 (Tue) to
19 Apr 2023 (Wed)
Register Before: 28 Mar 2023
Apply Now

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