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Talk to an Expert| Category | Assignment | Subject | Management |
|---|---|---|---|
| University | - | Module Title | DRM705 Risk Analysis and Modelling |
| Academic Year | 2026 |
|---|
| Field | Details |
|---|---|
| Qualification | Level 7 Diploma in Risk Management (610/2175/1) |
| Unit Reference Number | D/650/5660 |
| Unit Code | DRM705 |
| Unit Title | Risk Analysis and Modelling |
| Unit Level | 7 |
| Number of Credits | 20 |
| Total Qualification Time (TQT) | 200 hours |
| Guided Learning Hours (GLH) | 100 hours |
This unit aims to provide learners with an understanding of the core concepts and tools used to build modern risk analysis models. It introduces learners to the foundations of risk analysis. These core concepts are then combined to explore several modern risk analysis modelling techniques. This unit will provide learners with the skills needed to apply these techniques in real-life situations.
| Learning Outcomes (When awarded credit for this unit, a learner will:) |
Assessment Criteria (Assessment of this learning outcome will require a learner to demonstrate that they can:) |
|---|---|
| 1 Understand the concept of operational risk and the Basel II model. |
1.1 Explain the concept of operational risk. 1.2 Discuss the Basel II’s ten ‘Sound Practices’ concepts. 1.3 Analyse seven types of official Basel II events. |
| 2 Understand how to apply risk models in an organisational setting. |
2.1 Identify and apply three common methods to calculate operational risk capital 2.2 Explain the scope of the Standardised Measurement Approach (Basel III) 2.3 Assess the Standardised approach for credit risk as per Basel III recommendations. |
| 3 Be able to apply financial models in an organisational context. |
3.1 Explain the concept and equation of the Black–Scholes model. 3.2 Assess situations were Black–Scholes model can be applied. 3.3 Analyse Knightian uncertainty, Ellsberg paradox, Black swan events. 3.4 Discuss how Dynamic Financial Analysis can be used in an organisational context. 3.5 Explain Value at Risk (VaR) based risk management. 3.6 Explain and apply the mathematical models of VaR, CVaR and EVaR |
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