University of Sydney · S2 2026 · FACULTY OF PROJECT MANAGEMENT

PMGT5891 Strategic Risk Management

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The Complete Exam Bible · S2 2026

PMGT5891 Overview

Strategic Risk Management
— A chapter-by-chapter guide to strategic and project risk management: ISO 31000, risk registers, Monte Carlo, contingency, decision trees, ERM and the psychology of risk.
  • University of Sydney
  • Semester 2 2026
  • Postgraduate unit of study
  • 6 credit points
  • Project risk management

PMGT5891 Strategic Risk Management is a postgraduate unit of study at the University of Sydney that treats risk the way ISO 31000 defines it: the effect of uncertainty on objectives.

  • Largest task Individual assignment: a one-hour written exam worth 40%
  • Pass condition Canvas states you need 50% in the individual assignment to pass
  • Core method Objective, uncertainty, then likelihood and consequence
  • Quantitative block Three-point estimates, Monte Carlo and decision trees
PMGT5891 · University of Sydney
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Assessment

How PMGT5891 is assessed

ComponentWeightFormat
Individual assignment (written exam) · hurdle40%Written exam hurdle task in the formal exam period, 1 hour, AI prohibited; covers the main topic areas of the unit; due date listed as 8 Nov 2026
Class Engagement20%Contribution across multiple weeks during workshop sessions: 15 marks class engagement and 5 marks participation
Discussion forum10%Group contribution across multiple weeks; task details on Canvas
Group assignment20%Written group assignment based on a case study; due Week 7 (20 Sep 2026)
Group presentation10%Reflective group presentation on the case study, 10 minutes; due Week 10 (18 Oct 2026)
Early Feedback Task0%Week 3 task based on completing the Class Engagement Register (23 Aug 2026)

Weights are from the University of Sydney unit page for the Semester 2 2026 offering and total 100%. The individual assignment is the hurdle task; the unit's Canvas assessment page states that you must get 50% in the individual assignment to pass the unit, regardless of the sum of your other marks. Earlier Canvas materials list the same weights under slightly different names (Group assignment 1 report, Group assignment 2 presentation, Group discussions).

Current dates · verify in LMS

Current PMGT5891 dates

DateItemControl
23 August 2026Early Feedback TaskWeek 3 due date published for the Semester 2 2026 offering.
20 September 2026Group assignmentWeek 7 due date published for the Semester 2 2026 offering.
18 October 2026Group presentationWeek 10 due date published for the Semester 2 2026 offering.
8 November 2026Individual assignment (written exam)Due date listed for the formal exam period task; confirm the sitting time on Canvas.

Dates are as published in the current course materials. Confirm exact deadlines and submission settings in the live LMS.

Contents · every chapter, one map

What PMGT5891 covers

The unit follows the risk management process in teaching order. It starts with what risk means and how risks are identified against objectives, moves through qualitative assessment, treatment and allocation, then turns quantitative with Monte Carlo simulation, contingency and decision trees, before closing with enterprise risk management, resilience and risk psychology.

01

Risk, Uncertainty and the Language of Risk

ISO 31000 definition, threats and opportunities, certainty versus uncertainty, the Risk Arena game (Week 2)

This chapter sets out the vocabulary the rest of the unit depends on. It starts from the ISO 31000 statement that risk is the effect of uncertainty on objectives and compares it with the PMI wording that allows positive and negative effects.

  • ISO 31000: risk as the effect of uncertainty on objectives
  • PMI, Hillson and Baccarini wordings compared
  • Threats, opportunities and the two-sided view of risk
  • Risk versus issue: when certainty changes the label
  • Certainty, risk, uncertainty and ignorance as one spectrum
  • Knight's measurable versus unmeasurable distinction
02

Identifying Risks Against Objectives

Objectives, known and unknown uncertainty, risk statements, risk breakdown structure (Week 3)

This chapter shows how risk identification works when it starts from objectives rather than from a blank brainstorm.

  • Clarifying objectives before listing risks
  • ISO 31000:2018 purpose of risk identification
  • Risk statements: event, cause and consequence
  • Separating causes from events
  • Known knowns, known unknowns, unknown knowns, unknown unknowns
  • Identification tools from checklists to structured interviews
03

ISO 31000 Principles, Framework and Process

Principles, framework, process clauses and how the PMI standard compares (Weeks 2 to 5)

ISO 31000:2018 is the international guideline this unit leans on most, and it is built from three linked parts. The principles describe what effective risk management looks like, with the creation and protection of value as their purpose.

  • Purpose of risk management: creating and protecting value
  • The eight principles of the 2018 edition and the PACED shorthand
  • Framework components around leadership and commitment
  • Scope, context and risk criteria
  • Risk assessment: identification, analysis, evaluation
  • Treatment as an iterative cycle
04

Qualitative Risk Assessment and the Risk Register

Likelihood and consequence scales, heat maps, scoring, risk register fields (Week 4)

Qualitative assessment is how most teams first sort a long list of risks.

  • Coarse risk analysis and discretised rating scales
  • Wellcome Trust likelihood bands and four impact dimensions
  • Building and reading a five-by-five heat map
  • Scoring, ranking and tie rules
  • Comparing scores with a stated risk appetite
  • Limits of the probability-impact matrix
05

Risk Treatment and Response Strategies

Treatment options, threat and opportunity responses, contingency and fallback plans (Week 5)

This chapter covers what happens after a risk has been assessed and ranked. It sets the seven treatment options in the 2018 edition of ISO 31000 beside the threat responses most standards share and the opportunity responses that PRAM and the PMBOK Guide add.

  • ISO 31000 treatment options and the four post-assessment steps
  • Threat responses: avoid, reduce, transfer, accept
  • Opportunity responses: exploit, enhance, share, accept, escalate
  • Pricing a response: EMV reduction against treatment cost
  • Mitigation, contingency plans and fallback plans
  • Triggers and the timing of each response
06

Risk Allocation, Transfer and Risk Appetite

Allocating risk, transfer through contracts and PPPs, utility, appetite and tolerance

This chapter asks who should carry each risk and at what price.

  • Allocating risk to the party best able to manage it
  • Transfer by contract against transfer by insurance
  • Public-private partnerships, risk premiums and their limits
  • Utility theory and expected utility
  • Risk averse, risk neutral and risk seeking attitudes
  • Certainty equivalent and the premium an owner will pay
07

Quantitative Risk Assessment and Monte Carlo Simulation

Three-point estimates, distributions, Monte Carlo, percentiles, sensitivity and tornado charts (Weeks 7 to 8)

This chapter covers the Weeks 7 to 8 material on quantitative cost risk assessment.

  • Quantitative cost risk assessment in Excel
  • Optimistic, most likely and pessimistic estimates
  • Triangular and PERT means, standard deviation and variance
  • Uniform, triangular, Trigen and betaPERT distributions
  • Monte Carlo steps, iterations and fixed seeds
  • Reading P50, P80 and P90 from an S-curve
08

Contingency and Management Reserves

Contingency definitions, reserves, deterministic and probabilistic methods, drawdown control

Contingency is the money added to a base estimate for estimate uncertainty and identified risk, and the unit treats it as one of the most argued-over lines in any budget.

  • AACE and PMI definitions of contingency
  • What contingency usually excludes
  • Contingency reserve versus management reserve
  • Fixed percentage, probabilistic and blended methods
  • Summing EMVs for risk contingency
  • Choosing a percentile such as P50, P80 or P90
09

Decision Trees and Risk-Informed Decisions

Decision trees, expected monetary value, risk-adjusted benefit-cost thinking, Carter Racing (Week 9)

This chapter covers the Week 9 toolkit for choosing between options when outcomes are uncertain.

  • Decision nodes and chance nodes
  • Expected value of a chance node
  • Rolling back a tree from right to left
  • Break-even probability and sensitivity
  • Path probabilities and the chance of a loss
  • Benefit-cost ratio adjusted for risk
10

Enterprise Risk Management and Risk Governance

ERM, three lines of defence, ownership, escalation, reporting and future trends

This chapter moves from the single project to the whole organisation. It explains what enterprise risk management adds to project-level practice, using the COSO definition quoted by EY and Deloitte's three levels of responsibility.

  • ERM compared with project risk management
  • Board, executive and business unit responsibilities
  • Three lines of defence
  • Risk ownership and escalation pathways
  • Root-cause risk across the enterprise
  • Aon 2017 top risks and readiness
11

Resilience, Bow Ties and Learning from Failure

Resilience, bow tie barriers, root cause analysis, failure cases (Week 10)

This chapter covers the Week 10 material on resilience: how an organisation prepares for, absorbs, recovers from and adapts to adverse events once prevention has not been enough.

  • Resilience as prepare, absorb, recover and adapt
  • How resilience complements risk treatment
  • Bow tie structure and the knot
  • Vulnerability versus resilience barriers
  • Swiss cheese model and barrier permeability
  • Testing barrier quality: hard, soft, independent, verifiable
12

Risk Psychology and Behaviour

Prospect theory, cognitive biases, groupthink, fast and slow thinking (Week 11)

Risk decisions are made by people, and people do not process probabilities the way a spreadsheet does.

  • Situational versus trait theories of risk taking
  • Prospect theory: certainty, loss aversion, relative positioning, small probabilities
  • Cognitive biases in risk identification and estimating
  • Sunk cost and framing at go or no-go decisions
  • Groupthink: Janis's eight symptoms and Swissair
  • System 1 and System 2 thinking

It works from two primary references, ISO 31000 and the Project Management Institute's risk standard for portfolios, programs and projects, with the PMBOK Guide alongside, and it follows the risk management process in the order a practitioner meets it.

Early weeks build the vocabulary: what counts as a risk, why a risk can be an opportunity as well as a threat, and why objectives must be clear before anything can be identified. Identification tools come next, including the risk breakdown structure, cause and effect risk statements and a critical review of public risk register templates.

Qualitative assessment with likelihood and consequence scales then leads into treatment, monitoring, communication and reporting. The middle of the semester turns quantitative. You meet three-point estimates, probability distributions, Monte Carlo simulation, sensitivity analysis and contingency, mostly through guided Excel practice.

Decision trees and expected monetary value link those numbers to real choices, and governance questions follow: who owns a risk, who decides, and when a risk moves up the chain. The final teaching weeks widen the lens to enterprise risk management, resilience and bow tie analysis, and the psychology that bends human judgement about risk.

Class discussion leans on real failures and decisions, from the Sampoong department store collapse and the I-35W bridge to the Carter Racing case. For Semester 2 2026 the University lists six assessment components. The largest is the individual assignment, worth 40%, listed as a one-hour written exam hurdle task in the formal exam period with AI prohibited. Group work and class engagement make up the other 60%.

This guide follows the teaching sequence chapter by chapter and closes with mixed practice and an exam-morning plan.

Worked example · free

Ground risk decision tree: redesign now or carry the risk

Q [4 marks]. A project team must choose between two foundation designs. Design A costs nothing extra now, but there is a 30% chance that poor ground is found during construction, adding $500,000. Design B adds $120,000 now and leaves a 5% chance of a smaller $200,000 ground problem. Using expected monetary value (EMV), which design should the team choose, and below what probability of poor ground would Design A become the better choice? (AskSia practice weighting; not an official University mark allocation.)
Decision tree for a contractor choosing how to build a school classroom block, with profits in thousands of dollars: the square is the choice, each circle is a Decision tree for a contractor choosing how to build a school classroom block, with profits in thousands of dollars: the square is the choice, each circle is a chance event, and every end point shows its probability and profit (thicker lines mean likelier outcomes, and the bars on the right are scaled to profit). Rolling back from right to left gives modular construction an EMV of $280k (0.8 × $36On time: 0.8, $360kLate: 0.2, −$40kEMV $280kModularDry season: 0.6, $300kWet season: 0.4, $200kEMV $260kOn-siteBest $280k
Decision tree for a contractor choosing how to build a school classroom block, with profits in thousands of dollars: the square is the choice, each circle is a chance event, and every end point shows its probability and profit (thicker lines mean likelier outcomes, and the bars on the right are scaled to profit). Rolling back from right to left gives modular construction an EMV of $280k (0.8 × $360k plus 0.2 × a $40k loss) against $260k for on-site construction, so the on-site branch is struck out, yet only modular has an outcome that loses money.
  • +1Draw a decision node with two branches, then a chance node on each branch carrying its probability and cost outcome.
  • +1Design A expected cost = 0.30 × $500,000 + 0.70 × $0 = $150,000.
  • +1Design B expected cost = $120,000 + 0.05 × $200,000 = $120,000 + $10,000 = $130,000.
  • +1Break-even for Design A: p × $500,000 = $130,000, so p = 0.26. Design A wins only if the chance of poor ground is below 26%.
Choose Design B: its expected cost of $130,000 is $20,000 lower than Design A's $150,000. The decision is sensitive to the ground probability, because Design A becomes cheaper in expectation once that probability drops below 26%, so a site investigation that sharpens the estimate has real value.
Sia tip — Write every branch's expected value beside its chance node before comparing options, then finish with the break-even probability so the reader sees how robust the recommendation is.
Glossary

Key terms

Risk
Risk is the effect of uncertainty on objectives, the ISO 31000 definition this unit starts from, which covers positive and negative effects.
Opportunity
An opportunity is a risk whose effect on objectives would be positive, so the response aims to increase its likelihood or impact.
Risk register
A risk register is the working record of identified risks, with each risk's description, owner, assessment, response and status.
Risk breakdown structure
A risk breakdown structure is a hierarchy that groups a project's risks by source, from broad categories down to specific risks.
Risk owner
A risk owner is the named person who is accountable for a particular risk and has the authority to act on it.
Risk appetite
Risk appetite is how much risk, and which kinds, an organisation is prepared to seek or keep while pursuing its objectives.
Expected monetary value
Expected monetary value is the probability of an outcome multiplied by its monetary impact, summed across the outcomes of a choice.
Three-point estimate
A three-point estimate describes an uncertain quantity by its optimistic, most likely and pessimistic values.
Monte Carlo simulation
Monte Carlo simulation is a method that samples uncertain inputs many times to build the distribution of a project outcome such as total cost.
Contingency reserve
A contingency reserve is an amount added to an estimate to cover identified risks whose occurrence or effect is uncertain.
Management reserve
A management reserve is a budget amount held back for unforeseen work and unidentified risks, controlled above the project manager.
Bow tie analysis
Bow tie analysis is a diagram that links threats and preventive barriers on one side of an event to recovery barriers and consequences on the other.
Three lines of defence
The three lines of defence model separates the business units that own risk, the functions that oversee it and the internal audit that gives independent assurance.
Loss aversion
Loss aversion is the tendency to weigh a loss more heavily than a gain of the same size, a core feature of prospect theory.
FAQ

PMGT5891 FAQ

Is Strategic Risk Management hard at USyd?

The difficulty comes from breadth and from one hurdle. The unit runs from risk definitions through Excel-based Monte Carlo and decision trees to governance and behavioural bias. The individual assignment, worth 40% and listed for Semester 2 2026 as a one-hour written exam, is a hurdle: the Canvas assessment page says you must get 50% in it to pass the unit, whatever your other marks are.

What is the individual written exam in this unit like?

The University's unit page lists the individual assignment as a written exam hurdle task held in the formal exam period, one hour long, with AI prohibited, covering the main topic areas of the unit. The page does not give question types, so confirm the format on Canvas. A decision tree teaching page in the unit states that the exam may contain a simple decision tree.

How are marks split between group and individual work?

For Semester 2 2026 the individual assignment carries 40% and class engagement 20%. Group work carries 40% in total: a case-study group assignment worth 20% due in Week 7, a reflective group presentation worth 10% due in Week 10, and group discussion forums worth 10%. An Early Feedback Task in Week 3 carries 0% but is still listed as a component.

Are there past papers or practice questions for this unit?

The unit materials describe multiple-choice questions to aid revision that are not assessable, and a Week 8 revision slide lists class questions running from risk definitions to contingency and quantification techniques. Confirm on Canvas what is released for your semester. This guide adds original practice in every chapter, a mixed practice set and an exam-morning checklist built on the same topics.

Which formulas and calculations should I be able to do?

Expect expected monetary value, probability times impact scoring, three-point estimates with triangular or PERT style means, reading percentiles such as P50 and P80 from a Monte Carlo output, and rolling back a decision tree. The unit teaches these through Excel templates, but the written exam rewards showing each step and explaining what the result means for the decision.

Can AI help me study for this unit?

Yes, as a study partner rather than a ghost writer. Sia can explain ISO 31000 clauses, check your EMV and decision tree working step by step, or quiz you on biases and bow tie barriers. Keep in mind that the University lists AI as prohibited for the individual written exam, so practise producing answers yourself under time pressure before the exam period.

What reading does the unit expect?

The two primary references are ISO 31000, available through the University library, and PMI's risk standard for portfolios, programs and projects, which students access through the O'Reilly Learning Platform. The PMBOK Guide seventh edition is also recommended. Weekly pages add articles and case studies, from enterprise risk management readings to the psychology of risk.

Chapter questions

Questions students ask in each PMGT5891 chapter

Is risk always negative in project management?
No. Both ISO 31000 and the PMI wording allow an effect to be positive or negative, so an uncertain event that could cut costs or speed delivery is also a risk in their wording. Some authors, Baccarini among them, reserve risk for downside and call the upside opportunity. Pick one convention, define it in your opening line, and keep it consistent. Chapter 01 · Risk, Uncertainty and the Language of Risk
Why should objectives be agreed before identifying risks?
Because risk is defined as an effect on objectives, a risk cannot be judged without them. A delay matters only if a deadline is an objective, and a cost overrun only if the budget is fixed. Agreeing objectives first also sets the right level for each statement, since a team objective and a board objective attract different risks and different readers. Chapter 02 · Identifying Risks Against Objectives
What are the eight principles of ISO 31000:2018?
They are integrated, structured and comprehensive, customized, inclusive, dynamic, best available information, human and cultural factors, and continual improvement. All eight serve one purpose, the creation and protection of value. An IRM guide treats the first five as design principles and the last three as operating principles. Chapter 03 · ISO 31000 Principles, Framework and Process
How do you build a 5x5 risk matrix?
Define five likelihood bands and five consequence bands tailored to your organisation, for example probability ranges and dollar or schedule thresholds. Multiply or combine the two ratings for each cell, colour the cells into zones, and agree in advance which zones need treatment and how ties will be broken. Chapter 04 · Qualitative Risk Assessment and the Risk Register
What is the difference between risk mitigation and contingency planning?
Mitigation is action taken before the risk occurs to lower its probability or impact, so its cost is spent whether or not the event happens. Contingency planning prepares a recovery response in advance but only spends money once a trigger shows the risk is happening. Many registers use both on one risk: a preventive step now and a recovery plan ready if prevention fails. Chapter 05 · Risk Treatment and Response Strategies
Why can't a government transfer all project risk through a PPP?
DeGood's analysis of P3 contracts gives two reasons. Contracts are never complete, so a concessionaire can claim that delays are the state's fault, and the I-4 Ultimate agreement listed 24 relief events. Voters also hold elected officials, not contractors, responsible, so the state remains the ultimate guarantor. His conclusion is that a public sponsor ought to refuse a large premium for transfer, because so little risk actually moves. Chapter 06 · Risk Allocation, Transfer and Risk Appetite
How many iterations does a Monte Carlo cost model need?
Baccarini gives 1,000 to 5,000 as typical, with more needed when a model has many variables or rare events in its tails. The unit's Excel notes add that accuracy improves as calculations increase. When comparing two versions of a model, keep the seed fixed so any difference in results comes from the model change, not from a new random sequence. Chapter 07 · Quantitative Risk Assessment and Monte Carlo Simulation
Is project contingency meant to be spent?
Yes, according to AACE, which describes contingency as expected to be expended. It is an estimate line like any other, sized for costs that experience says will arise in total even though no one knows which items will trigger. Treating it as fat to be cut is what makes the topic controversial with management. Chapter 08 · Contingency and Management Reserves
Which shape stands for a decision in a decision tree and which for a chance event?
Squares mark decisions, the points where you choose between options, and circles mark chance events whose outcomes you cannot control. Branches leaving a square are alternatives; branches leaving a circle are outcomes with probabilities. Time runs left to right, so draw the tree in the order events actually happen, then solve it in reverse. Chapter 09 · Decision Trees and Risk-Informed Decisions
How is enterprise risk management different from project risk management?
Project risk management looks at threats and opportunities to one project's objectives. ERM, by contrast, takes an organisation-wide view, links risk to strategy and appetite, and finds shared causes across projects and divisions. Most project managers meet it in earnest when they move to programs or portfolios, but its principles apply at any level. Chapter 10 · Enterprise Risk Management and Risk Governance
What is the difference between vulnerability and resilience in a bow tie?
Barriers on the left of the knot exist to stop control being lost, so their strength describes how vulnerable the system is. Barriers on the right act once the event has happened and limit the damage, like air bags in a crash, so their effectiveness describes how resilient the system is. A sound bow tie needs credible barriers on both sides. Chapter 11 · Resilience, Bow Ties and Learning from Failure
Why do people choose a sure $1,000 over an 80% chance of $1,400?
The gamble has the higher expected value, $1,120, yet most people still take the sure amount. Prospect theory explains this as a strong preference for certainty, and people will give up some expected income to remove doubt. In projects the same tendency shows up as a preference for clear, familiar options over ambiguous ones. Chapter 12 · Risk Psychology and Behaviour
Study strategy

How to study for the exam

Treat the unit as one process you can draw from memory: objectives, identification, analysis, evaluation, treatment, monitoring, communication and recording. For each chapter, keep a single revision card with one definition you can quote exactly, one tool you can run by hand, and one named case you can use as evidence.

Practise the calculations without Excel, because the written exam is one hour and AI is prohibited: score a set of risks, compute an expected monetary value, find a triangular mean, roll back a two-branch decision tree and state a break-even probability. Then practise explaining what each number means for the decision, since the unit's own material stresses interpretation over mechanics.

Use the Week 8 revision question list as a self-test and answer each question in three or four sentences. Because the individual assignment is a hurdle needing 50%, do not leave revision until the week of the exam; spread it across the last teaching weeks while group work is still running. When a concept will not stick, ask Sia to set you a fresh scenario and check your reasoning line by line.

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