

16 CPD hours (CPA)
You 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, you will go through experiential learning where you will apply your 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.
This course is supported and endorsed by CPA Australia.
I highly recommend this course to others as there were useful points applicable across different industries.Ow Wai Ching NicoleFinancial Analyst, Prospec Surfaces Pte Ltd
A good start to Power BI.Prabhash NadesanVice President, Group Internal Audit, Frasers Property Limited
A very informative session over two days, and very knowledgeable trainers.Michelle LeeData Analytics Associate, BDO LLP
Very insightful into forensic accounting and the data analytics tool (Power BI).Daryl PangAssistant Manager, Group Internal Audit, Frasers Property Limited
Associate Professor, Business, Communication and Design, Singapore Institute of Technology
Mui Kim teaches audit and management accounting related modules in SIT and has been incorporating forensic analytics in her modules. She is a recipient of SIT Teaching Excellence award in AY2019/20. In addition to academic teaching, Mui Kim has been an effective trainer in financial and lean accounting training for adult learners and for some major corporations in Singapore. She trains and advises, not for mere academic interest, but for the implementation of ideas, concepts and techniques into people’s jobs. She is also engaged as business consultant in business process review and audit related projects.
Lead Professional Officer, Singapore Institute of Technology
Janet is a Chartered Accountant (Singapore), a Certified Tableau Desktop Specialist, and Alteryx Designer Core Certified. She graduated with an Accountancy degree from the NUS and a Masters in Instructional Technology from NTU. Over the past decade, she has been passionately teaching courses in accounting, auditing, and business analytics to both students and working professionals. In June 2024, she led a masterclass on a teaching case using data analytics tools in Atlanta, USA, organised by the American Accounting Association. Currently, Janet is an academic staff member at SIT, where she teaches and mentors undergraduates. Additionally, she took up business consultant role for firms and engages in industry research projects focused on data analytics for business.
Time | Day | Topics |
---|---|---|
9:00 am - 6:00 pm | Day 1 |
Anti-fraud Data Analytics Tests Data Fundamentals Data Analysis Techniques |
Day 2 |
Case Study 1: Financial Statement Fraud Case Study 2: Detecting Corruption & Misappropriation of Cash Case Study 3: Expense Reimbursement Fraud |
A Certificate of Attainment will be issued to participants who
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
The full fee for this course is S$1,962.00.
Category | After SF Funding |
---|---|
Singapore Citizen (Below 40) | S$588.60 |
Singapore Citizen (40 & Above) | S$228.60 |
Singapore PR / LTVP+ Holder | S$588.60 |
Non-Singapore Citizen | S$1,962.00 (No Funding) |
Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.
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.
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