Curriculum
- 8 Sections
- 24 Lessons
- 40 Hours
Expand all sectionsCollapse all sections
- Introduction to Technological Advances in Data Analytics3
- Big Data: Risks and Opportunities3
- Artificial Intelligence in Internal Audit3
- Data Analytics Techniques for Auditors3
- Data Visualization for Effective Reporting3
- Cybersecurity and Data Management3
- Transforming Internal Audit with Emerging Technologies3
- Hands-On Practice and Case Studies3
Requirements
- Education: Bachelor's degree or higher, or in final year of undergraduate studies.
- Experience: Minimum one to five years of internal audit experience based on education level.
- Professional Conduct: Adherence to The IIA's Code of Ethics.
Target audiences
- Chief Audit Executives
- Heads of Internal Audit
- Directors of Internal Audit
- Senior Audit Managers
- Senior Internal Auditors
- Internal Auditors
- Professionals working closely with internal audit