Intended Participants
Financial risk managers, fraud analysts, compliance professionals, and internal audit teams
Learning Objectives
Develop a fraud and compliance analytics workflow that balances detection performance, explainability, and due process.
Delivery Format
Instructor-led seminars, financial industry case workshops, guided exercises, and applied capstone; online, hybrid, or in-person by arrangement.
Curriculum · Six Instructional Units
- Risk taxonomy, fraud typologies, and regulatory context
- Transaction data, feature engineering, and alert design
- Anomaly detection, supervised classification, and concept drift
- False positives, bias, explainability, and investigation workflows
- Privacy, documentation, audit trails, and human escalation
- Capstone: fraud analytics control framework and pilot plan
Applied Program Outcome
Fraud detection workflow, monitoring dashboard specification, and governance checklist
Assessment
Participation and case exercises (30%); applied project (40%); final presentation and reflection (30%).
Institutional Customization
Cases, simulated or authorized datasets, timetable, and institutional objectives may be customized after needs assessment.
Important: This is a proposed Beyond Academic curriculum, not a confirmed university or hospital offering. Any certificate or continuing education credit requires separate written confirmation; none is guaranteed. AI content is educational; clinical decisions remain with qualified professionals and authorized institutions.