Overview
Advanced Audit Sampling is a specialized practical course designed for experienced
auditors and audit professionals who need to apply sophisticated sampling
techniques to complex audit assignments. The course covers advanced statistical
and non-statistical methods, risk-based sample design,
probability-proportional-to-size sampling, monetary unit sampling, sampling
risk, sample-size optimization, evaluation of misstatements, and the use of
data analytics in audit sampling.
Target
Participants
This course is suitable for:
- Senior internal and external auditors
- Audit supervisors and managers
- Audit partners and team leaders
- Risk and compliance managers
- Forensic auditors
- Government and public-sector auditors
- Financial controllers and senior accountants
- Internal control specialists
- Audit quality and assurance professionals
Course
Objectives
By the end of the course,
participants will be able to:
- Apply advanced principles of statistical and
non-statistical audit sampling.
- Design risk-based sampling strategies for complex
audits.
- Determine appropriate sample sizes using multiple risk
and assurance factors.
- Apply Monetary Unit Sampling (MUS) and
Probability-Proportional-to-Size (PPS) techniques.
- Use stratification to improve sampling efficiency and
audit coverage.
- Evaluate sampling risk and determine its impact on
audit conclusions.
- Project sample errors and evaluate the implications of
identified misstatements.
- Apply sampling techniques to tests of controls and
substantive procedures.
- Handle exceptions, deviations, unusual items, and
high-risk transactions.
- Integrate audit sampling with data analytics and
automated audit procedures.
- Document advanced sampling decisions and professional
judgments.
- Evaluate whether sample results provide sufficient
appropriate audit evidence.
Course
Outline
|
Module |
Topic |
Key
Areas Covered |
|
Module 1 |
Advanced Audit Sampling Concepts |
Sampling theory, audit objectives,
population characteristics, sampling risk and professional judgment |
|
Module 2 |
Risk-Based Sampling Design |
Audit risk, inherent risk, control
risk, detection risk, materiality and assurance levels |
|
Module 3 |
Advanced Statistical Sampling |
Probability theory, confidence
levels, expected deviation and tolerable misstatement |
|
Module 4 |
Advanced Non-Statistical Sampling |
Judgmental selection, targeted
sampling, haphazard selection and professional judgment |
|
Module 5 |
Sample Size Optimization |
Factors affecting sample size,
precision, expected error, tolerable error and risk considerations |
|
Module 6 |
Stratified Sampling |
Population stratification,
high-value items, homogeneous groups and efficiency improvements |
|
Module 7 |
Monetary Unit Sampling (MUS) |
PPS sampling, sampling intervals,
selection techniques and evaluation of results |
|
Module 8 |
Sampling for Tests of Controls |
Expected deviation rates,
tolerable deviation rates, control testing and evaluation |
|
Module 9 |
Substantive Audit Sampling |
Account balances, transactions,
monetary misstatements and substantive testing |
|
Module 10 |
Evaluation of Sampling Results |
Projecting errors, sampling allowance,
upper misstatement limits and audit conclusions |
|
Module 11 |
Data Analytics and Automated
Sampling |
Excel-based sampling, audit
analytics, large populations, exception testing and continuous auditing |
|
Module 12 |
Advanced Practical Case Study |
Designing a sampling strategy,
selecting samples, testing, evaluating results and preparing documentation |