Assessment approach and outcomes

Assessment that challenges bias and routine

Repetition, unchecked, breeds overconfidence; the wrong assessment rewards memorisation, not insight. This programme’s evaluation framework is structured around scenario-driven exams and applied projects. Each step is intended to surface hidden bias and force a rethink of assumptions before decisions are made.

Participants move through module assessments that replicate real market dilemmas, followed by a final project tied to live data. Peer review is continuous, ensuring no blind spot goes unexamined. This approach quantifies not just knowledge, but the ability to diagnose and mitigate the bias that undermines real-world financial outcomes.

Assessment is designed to surface and correct cognitive bias—not reward simple recall.

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Assessment structure at a glance

Assessment goes beyond memorisation, targeting critical judgement and adaptive skill under real conditions.
  • Scenario-based module exams, not static tests
  • Final project using real-world financial data
  • Peer review and structured feedback
  • Bias diagnosis is a core grading criterion
  • Distinction for top analytical performance
  • Faculty-led grading and moderation
  • Assessment tasks updated for current trends

How assessment measures real-world bias

Module exams: scenario-driven assessment

Assuming every test is a rote recall exercise fails to capture the complexity of financial decision-making. This programme’s module exams use dynamic scenarios, each designed to surface real cognitive errors in context.
  • Bias detection: Exams focus on identifying and correcting judgement errors, not memorising definitions.
See teaching methodology

Final project: practical application

Traditional final exams measure theory retention, not practical skill. Here, the final project requires the application of bias diagnosis to a real or simulated financial decision, with evidence drawn from current data and analysis.
  • Applied outcome: Projects must show clear impact on decision process, not just theoretical knowledge.
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Peer review: collaborative improvement

Unquestioned self-assessment skews results. Peer review and feedback loops are integral to every stage, ensuring biases are exposed and challenged before they affect conclusions.

  • Structured feedback: Collaborative review reduces blind spots and enhances objectivity.
Learning support resources
Scenario-based exams and feedback forced a confrontation with personal bias—assessment here is more than a test, it’s a genuine learning experience.

Lucas Tan Pension Policy Analyst – National Pension Fund

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Have questions about assessment?

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