Course Guide

How to build a project management course: a complete guide for lecturers

A practical, ready-to-adapt guide for designing or refreshing a Project Management course. It brings together course positioning, constructively aligned intended learning outcomes, twelve core concepts with teaching notes, a 12-session syllabus, applied simulations, recent readings, case studies and assessment guidance.

What should a Project Management course cover?

A Project Management course should teach students how to turn a strategic need into a governed, executable and reviewable project. A coherent lifecycle moves from project context, success criteria and delivery approach through business cases, stakeholders, scope, scheduling, cost and resources, then into risk, teams, procurement, quality, change, monitoring, recovery, closure and benefits realisation.

It can run as a final-year undergraduate module, MSc or MBA course, or executive-education unit, commonly across 10-14 teaching sessions with roughly 24-36 contact hours and about 150-180 notional learning hours. Students should learn the difference between tools and judgement, outputs and benefits, baselines and forecasts, predictive and adaptive delivery, and apparent plan compliance versus a defensible decision under changing constraints.

Project Management course overview

72%

teach Project Management as a named or closely related course

12

sessions as the most common course-design model

58%

taught at undergraduate level

81%

taught at postgraduate level (levels overlap)

34%

offered as core; the rest elective

79%

include an applied or simulation-based component

Why this course matters

Strategy
Operations
Finance
Leadership
Technology
Project Management delivery and value decisions
  • Strategy
  • Operations
  • Finance
  • Leadership
  • Technology

Project Management connects strategy, operations, finance, leadership and technology because projects are where organisations convert priorities into temporary, governed delivery work.

Career path fit

Project programmemanagementPMO portfolioOperations transformationProduct deliveryConsulting advisoryEntrepreneurship generalmanagement
  • Project programme management: 10 out of 10
  • PMO portfolio: 9 out of 10
  • Operations transformation: 8 out of 10
  • Product delivery: 8 out of 10
  • Consulting advisory: 8 out of 10
  • Entrepreneurship general management: 7 out of 10

How well this course prepares students for six role families, scored out of 10. Indicative, based on how directly the concepts map to each path - not a placement statistic.

Typical course structure

  • Foundations, success and lifecycle 10%
  • Initiation, business case and governance 15%
  • Scope, schedule, cost and resources 25%
  • Stakeholders, risk and teams 20%
  • Execution, quality, change and control 20%
  • Closure, benefits and learning 10%

Who this guide is for

This guide is for professors, lecturers, module leaders, course coordinators, unit convenors, instructors of record and programme directors designing or refreshing Project Management teaching in universities and business schools. It is globally portable across course, module and unit terminology and can be adapted to local credit values, intended learning outcomes and programme-assurance requirements.

It is especially useful for final-year undergraduate, MSc, MBA and executive-education cohorts where the educator wants project management to operate as an applied management discipline rather than a software tutorial. The architecture gives a course owner visible assurance-of-learning evidence through business cases, schedules, risk decisions, status reports, simulations, project artefacts and individual defence.

What does a Project Management course cover?

A Project Management course covers the decisions needed to initiate, plan, govern, execute, monitor and close temporary work. Students move from project context, success criteria and delivery approach into business cases, stakeholder engagement, scope, work breakdown structures, dependencies, critical path, cost and resource planning, risk, team leadership, procurement, quality, change control, performance measurement and recovery.

The applied distinction is that a project plan is not the same as a project decision. Students should learn to judge whether a project should start, how it should be tailored, what must remain fixed, which assumptions threaten delivery, what evidence warrants a change, when a forecast requires intervention, and whether the promised benefits survive handover. That makes cases, live decision exercises and defensible recommendations central to the course.

The course at a glance

A one-screen planning view. If you are drafting a syllabus, most of what a course-approval form asks for is in this table; the detail sits in the sections below.

Planning area

Suggested approach

Best fit

Final-year or senior undergraduates, MSc or MS management and project-management cohorts, MBA and EMBA electives, and executive education.

Typical length

10, 12 or 14 teaching sessions, with 12 as the standard model. Roughly 24-36 contact hours plus independent preparation and assessment, giving about 150-180 notional learning hours for a semester-sized course.

Course role

A core management or operations module in some programmes, and an elective or pathway course in others. It can also provide assurance-of-learning evidence around planning, judgement, teamwork and implementation.

Useful prerequisites

Basic management, accounting or finance and spreadsheet literacy. Prior project-management study is not essential for the introductory version.

Main student output

An integrated project pack or project recommendation containing a business case, governance map, scope/WBS, schedule, budget, risk and stakeholder decisions, status/recovery update and closure/benefits reflection.

Best assessment fit

A group applied output carrying most of the summative weight plus an individual assumptions note, reflection or oral defence that creates attributable evidence. Most courses use two assessment points rather than every format listed later.

Best simulation fit

Startup Creation as the primary adjacent capstone environment; Capital Budgeting for project selection and constrained investment; Managerial Accounting for secondary resource-allocation and cross-functional decision practice.

Learning outcomes

These intended learning outcomes use assessable verbs and constructive alignment so every outcome can generate visible evidence for course review. Bloom's taxonomy is useful once here as a design check: the early outcomes establish distinctions and methods, while later outcomes require analysis, evaluation, recommendation and defence.

A lecturer can map each outcome to one or more artefacts below rather than grading recall. The strongest assessment evidence comes from the quality of assumptions, integration, trade-off analysis and response to challenge.

  1. Differentiate projects, programmes, portfolios and operations, and define project success using value, outcome and delivery criteria.
  2. Select and justify predictive, adaptive or hybrid delivery approaches based on uncertainty, governance and stakeholder context.
  3. Evaluate project proposals using strategic fit, benefits, cost, risk and investment-appraisal evidence.
  4. Design governance, stakeholder-engagement and communication arrangements that support timely and accountable decisions.
  5. Develop a coherent project scope using requirements, deliverables, acceptance criteria and a work breakdown structure.
  6. Construct and interpret project schedules using dependencies, critical path, milestones, float and schedule-compression logic.
  7. Prepare and defend cost, resource and contingency decisions under budget and capacity constraints.
  8. Evaluate project risks, procurement choices, quality requirements and change requests using explicit trade-offs and decision criteria.
  9. Analyse project performance evidence, forecast delivery outcomes and recommend corrective or recovery action.
  10. Critically evaluate project closure, benefits realisation and organisational learning, and defend an integrated project recommendation under uncertainty.

Core concepts

The structure reflects course-design patterns commonly seen in Ivy League and leading global business-school courses on Project Management and closely related operations, implementation, technology delivery and organisational-change modules. That is a pattern to learn from, not a claim that every leading school teaches the subject in the same way.

There are twelve core concepts in this Project Management course. They move from framing and authorisation through integrated planning, execution and control to closure and benefits, with application embedded before the final sessions.

  1. Project context, governance and success criteria
  2. Project lifecycles, delivery approaches and tailoring
  3. Project selection, business cases and benefits
  4. Stakeholder engagement, sponsorship and communication
  5. Scope, requirements and work breakdown structures
  6. Scheduling, dependencies and critical path
  7. Cost estimation, budgeting and capital decisions
  8. Resource management, teams and leadership
  9. Risk, uncertainty and contingency
  10. Procurement, quality and change control
  11. Monitoring, performance measurement and recovery
  12. Closure, benefits realisation and organisational learning

Concept Details

The following notes expand each concept into a central teaching question, coverage, outcomes, classroom method, a runnable fictional case, common difficulties, reading/check prompts and an applied-simulation note only where one genuinely fits.

Connecting the concepts

This alignment map turns the twelve concepts into a chain of student outputs. Each output becomes input to the next stage, so the summative assessment is an integrated decision record rather than a last-minute template exercise.

Stage of project work

Principal concepts

Expected student output

Assessment evidence

Frame the project

Context, governance, success and lifecycle (1-2)

Success criteria, governance map and tailoring rationale

Formative evidence that students can define what is being managed.

Authorise investment

Selection, business case and benefits (3)

Business case and authorisation recommendation

Decision evidence linking strategy, benefits, cost and risk.

Align stakeholders and define work

Stakeholders, scope, requirements and WBS (4-5)

Engagement plan, scope baseline and WBS

Formative planning evidence that can be revised after critique.

Build an executable baseline

Schedule, cost and resources (6-8)

Network schedule, budget, resource decision and risk responses

Technical evidence plus assumptions and trade-off commentary.

Execute and govern change

Teams, procurement, quality and change (8-10)

Working agreement, supplier/change decision and decision log

Applied evidence of leadership and governance under change.

Control and recover

Performance measurement and recovery (11)

Status report, forecast and recovery recommendation

Summative-ready evidence of interpretation, not only reporting.

Close and realise value

Closure, benefits and learning (12)

Closure pack, benefits transition and retrospective

Individual defence can make team evidence attributable.

Plans support project judgement. They do not make the project decision.

Credit the interpretation of models and plans, the challenge to assumptions, the recognition of missing information and the link between delivery evidence and organisational value. A polished template with undefended assumptions should not outscore a simpler submission that shows coherent reasoning and defensible trade-offs.

Adapting for undergraduate and postgraduate students

The architecture can remain stable across final-year undergraduate, MSc, MBA and executive cohorts. What should change is scaffolding and cognitive demand. Undergraduates benefit from clearer datasets, worked examples and staged checkpoints; advanced learners should face incomplete briefs, conflicting stakeholders, more uncertain estimates and stronger responsibility for defining the problem.

Do not create an easier undergraduate course by removing risk, governance or change. Instead, reduce ambiguity while keeping the decision. In postgraduate and executive versions, raise the requirement to defend assumptions, challenge sponsors, integrate evidence across disciplines and revise recommendations when new information arrives.

Course design area

Undergraduate version

Postgraduate / MBA / executive version

Course emphasis

Build the lifecycle clearly and scaffold each artefact before integration.

Move rapidly into ambiguity, governance trade-offs, contested evidence and recovery decisions.

Technical depth

Use guided WBS, networks, critical-path calculations, budgets and risk analysis.

Add sensitivity, resource-constrained scheduling, fuller forecasting and complex governance.

Delivery methods

Explain predictive, adaptive and hybrid choices with structured examples.

Require method tailoring and defence under uncertain or mixed delivery conditions.

Data and cases

Use complete briefs and clearly labelled assumptions.

Remove some information deliberately and assess how students identify evidence gaps.

Student activity

Guided planning exercises, short cases, workshops and structured simulation tasks.

Open-ended project boards, negotiations, live challenge, simulation debriefs and viva-style defence.

Assessment

Mark correct concept use, coherent plans, evidence and clear recommendation.

Weight assumption defence, trade-offs, risk recognition, integration and response to challenge.

Simulation use

Use simulations as guided applied exercises with explicit project-management overlays.

Use them as decision pressure, capstone evidence and an input to oral or written defence.

The 12-session syllabus

The 12-session design follows the full project lifecycle from framing and authorisation through planning, mobilisation, execution, control, closure and benefits. It can be used in weekly teaching, intensive blocks or blended delivery.

The design principle worth keeping if you change nothing else is that application should not wait until the end. Each session leaves behind a decision, artefact or evidence trail that students can challenge, revise and integrate.

Session

Topic

Teaching focus

Student activity

Best-fitting simulation, where relevant

Assessment or output

1

Project context, governance and success

Projects versus operations; programmes and portfolios; value delivery; governance roles; success criteria and constraints.

Map a live project context, stakeholders and five success criteria.

One-page project success and governance map.

2

Lifecycles, delivery approaches and tailoring

Predictive, adaptive and hybrid delivery; stage gates; feedback cadence; tailoring to uncertainty and governance.

Choose and defend a delivery approach for three contrasting projects.

Tailoring note with lifecycle and governance rationale.

3

Project selection, business cases and benefits

Strategic alignment; business cases; options; benefits; capital appraisal and authorisation.

Rank competing proposals and write an authorisation recommendation.

Capital Budgeting

Business case and project-selection memo.

4

Stakeholders, sponsorship and communication

Stakeholder influence and impact; sponsor role; engagement; communication; escalation and decision rights.

Create a stakeholder strategy and decision-ready sponsor update.

Stakeholder engagement and communication plan.

5

Scope, requirements and WBS

Objectives, requirements, deliverables, acceptance criteria, WBS, boundaries and baseline.

Turn an ambiguous brief into a deliverable-oriented WBS and scope statement.

Scope baseline with WBS and acceptance criteria.

6

Scheduling, dependencies and critical path

Network logic; estimates; critical path; float; milestones; fast-tracking and crashing.

Build a network, calculate critical path and test a compression choice.

Baseline schedule plus assumption note.

7

Cost, budgeting and resource allocation

Estimating; cost baseline; reserves; time-phased budget; resource constraints and allocation.

Build a budget, separate reserves and resolve a scarce-resource conflict.

Managerial Accounting

Cost and resource decision note.

8

Risk, uncertainty and contingency

Risk statements; probability and impact; opportunities; responses; owners; triggers; contingency.

Prioritise a risk register and fund a response portfolio within a fixed reserve.

Top-risk register with response owners and triggers.

9

Teams, leadership and capstone initiation

Project leadership; team roles; conflict; psychological safety; kickoff and working agreements.

Start the capstone and create charter, roles, milestones and risk log.

Startup Creation

Capstone charter, milestone plan and risk log.

10

Procurement, quality and change control

Make-buy; contract choices; supplier interfaces; quality; acceptance; integrated change control.

Analyse a supplier/change request and update affected baselines.

Startup Creation

Change-impact recommendation and decision log.

11

Monitoring, performance and recovery

Baselines; actuals; forecasts; earned-value concepts; dashboards; issues; corrective action and recovery.

Produce a project status update and recovery decision from live capstone evidence.

Startup Creation

Status report with forecast, decisions needed and recovery actions.

12

Closure, benefits and organisational learning

Acceptance; handover; transition; benefits ownership; closure; lessons and post-project review.

Close the capstone with a retrospective, benefits transition and individual defence.

Startup Creation

Group closure pack plus individual reflective defence.

Simulations: What they are and why they belong in this course

Project Management is a decision-led subject. Students can learn scope, schedules, budgets, risk registers and change forms from lectures, but the discipline becomes meaningful when plans collide with scarce resources, new information, competing stakeholders and deadlines. Applied simulations provide a controlled environment in which students must commit to choices and then explain the consequences.

There is no dedicated Project Management simulation in the approved Finsimco set for this page. The three selected simulations are therefore used only where their underlying decisions genuinely support the course. Startup Creation provides the strongest adjacent capstone environment for planning and executing a temporary venture task. Capital Budgeting supports selection and investment decisions. Managerial Accounting adds a secondary constrained-resource and cross-functional allocation exercise.

There is also an accreditation rationale for structured experiential work. Simulations can generate visible applied evidence when they are aligned to intended learning outcomes, preceded by the relevant concepts and followed by a documented debrief or individual defence. If you need the accreditation language itself, what AACSB and AMBA say about simulations sets it out.

Traditional case study vs simulation

Teaching format

What it does well

Limitation

Best use in this course

Traditional case study

Gives students a rich fixed situation and lets the lecturer control the evidence and teaching question.

Students can recommend action without experiencing changing counterparties, scarcity or live consequences.

Best for governance, scope, scheduling, stakeholder conflict, risk, procurement and recovery.

Simulation

Requires students to make decisions, compare alternatives, negotiate or allocate resources and live with outcomes.

It can become memorable but shallow if students enter before learning the concepts or leave without a debrief.

Best after the theory, when the lecturer adds Project Management artefacts and assesses the reasoning around the activity.

A simulation is not a substitute for teaching project-management concepts. It is most useful after students know the framework and when the lecturer makes the PM evidence explicit: charter, milestones, risks, decisions, status, recovery and retrospective.

Where simulations fit

Startup Creation is the primary simulation for this page because it provides the richest temporary-team environment for a lecturer-defined PM capstone. Capital Budgeting is the strongest secondary fit for project selection and constrained investment. Managerial Accounting remains a secondary allocation exercise rather than a Project Management simulation.

Course point

Simulation

How to use it

Why it fits

Sessions 9-12: capstone execution

Startup Creation

Use as the primary adjacent capstone. Overlay a charter, milestones, WBS, risk log, change log, status report and retrospective.

Students manage a live team task over several stages while the venture problem evolves through analysis, pitch preparation, negotiation and reflection.

Session 3 or 7: selection and funding

Capital Budgeting

Use after business-case or budgeting teaching. Ask students to compare the platform decision with broader strategic and delivery criteria.

Students appraise competing projects using NPV, IRR, profitability index and payback, then allocate a fixed $10 million budget.

Session 7: constrained managerial allocation

Managerial Accounting

Use selectively as a secondary resource-allocation workshop, then translate the allocation into project constraints and priorities.

Students compare product economics and then allocate a $100 million budget through CFO, COO, CMO and CEO perspectives.

AI impact on Project Management teaching

Generative AI can now draft charters, stakeholder lists, WBS structures, risk registers, meeting notes, schedules, status reports and lessons-learned summaries quickly. That makes polished documentation a weaker signal of learning. The more useful assessment question is whether students can justify the assumptions, dependencies, evidence, trade-offs and escalation choices behind the document.

A practical permitted-use policy can allow AI for brainstorming, structuring, drafting and checking where declared, while keeping source verification, calculations, project judgement and defence attributable to the student. Credit should shift toward evidence selection, missing information, forecast interpretation, challenge to unrealistic plans and the ability to revise a decision when conditions change.

How AI is changing the subject

Teaching area

AI implication

Lecturer response

Project initiation

AI can draft charters and business-case structures from a brief.

Require students to identify unsupported assumptions, rejected options and evidence still needed.

Planning

AI can generate WBS ideas, dependencies and risk lists.

Assess coherence, traceability, realistic constraints and why the student accepted or rejected the suggested plan.

Stakeholders

AI can produce generic stakeholder matrices and communications.

Give role-specific conflict and assess the decision, timing and escalation route rather than list completeness.

Monitoring

AI can summarise status data and draft dashboards.

Ask students to forecast consequences, identify leading indicators and recommend action.

Recovery

AI can generate many recovery options.

Require students to quantify trade-offs and defend one option against alternatives.

Assessment

AI can make weak analysis look professional.

Use individual viva questions, live plan changes, assumptions notes and version evidence.

Sample permitted-use rule: AI may support brainstorming, structure, language and checking where declared. Students remain responsible for source verification, calculations, assumptions and project decisions and may be asked to reproduce or defend any submitted analysis without AI assistance.

Recommended Readings

Core textbook: Erik W. Larson and Clifford F. Gray, Project Management: The Managerial Process, 8th edition, McGraw Hill. It is a strong single-textbook fit because it moves from selection and project definition through estimates, scheduling, risk, resources, leadership, control, closure and agile delivery.

Alternative textbook: Harold Kerzner, Project Management: A Systems Approach to Planning, Scheduling, and Controlling, 14th edition, Wiley, 2025. It suits programmes wanting a more extensive systems and organisational treatment.

Foundational readings worth assigning directly

The eight items below are all post-2015, with most published from 2022 onward. Use them selectively rather than assigning every item every year.

Real case studies to use

The fictional mini-cases in the Concept Details are licence-free seminar exercises with complete figures. For a longer assessed case, the following two verified published cases provide useful options.

A-Media Limited: Project Scheduling and Risk Management

Authors: Ade Arowolo and Kenneth J. Klassen Publisher: Ivey Publishing via Harvard Business Publishing · 2023

Why it fits: Best for scheduling, critical path, uncertainty and risk-response discussion.

Best placement: Session 6 or 8 Assessment fit: Schedule/risk memo or short individual analysis.

View case study

Project Management at Kuehchic Desserts: Refreshing a Traditional Business

Authors: Arnoud De Meyer Publisher: Singapore Management University via Harvard Business Publishing · 2022

Why it fits: Useful for managing a practical business transformation where planning, execution and stakeholder choices interact.

Best placement: Sessions 4-5 or 9 Assessment fit: Team project plan followed by individual defence.

View case study

Sample session plan

Session 6 - Scheduling, dependencies and critical path

Best placement: after scope and WBS, before cost/resource planning. Session aim: students should leave able to construct a network, identify critical path and float, and defend a schedule-compression choice rather than simply produce a Gantt chart.

Session stage

Time

Teaching purpose

Lecturer approach

Student output

Pre-class preparation

Before class

Give students the A-Media case or a lecturer-built network brief and a short critical-path refresher.

Assign one page of evidence with activities, durations, dependencies and two risks.

One-page dependency map plus three questions.

Opening frame

10 minutes

Set the central question: what determines the earliest credible finish date, and where can management action change it?

Compare two plausible schedules and expose the dependency causing the difference.

Initial finish-date estimate.

Mini-lecture

25 minutes

Connect network logic to management judgement.

Review activity-on-node logic, estimates, critical path, float and the limits of a static baseline.

Students calculate one worked path and float example.

Team analysis

35 minutes

Move from mechanics to a schedule decision.

Teams build the network, identify critical activities and test one ambiguous dependency.

Baseline network and critical-path calculation.

Compression decision

25 minutes

Force trade-off analysis.

Give a fixed acceleration budget and two crashing/fast-tracking options with cost and risk consequences.

Three-slide recommendation with revised finish date.

Challenge

20 minutes

Test whether students can defend the plan under pressure.

Question assumptions, ask what could create a new critical path and introduce one late-risk update.

Oral defence and revised assumption.

Applied simulation link

Optional

Connect capital or resource constraints to later sessions rather than forcing a simulation into scheduling.

Preview how a fixed capital constraint can change which projects or activities receive attention.

Short bridge note to Session 7.

Debrief

20 minutes

Connect calculations to course concepts.

Ask which assumption mattered most, where the model gave false confidence and what evidence should be monitored.

Individual reflection: one forecast risk and trigger.

Why this session matters: it is the point where project plans become logically testable. Students see that a schedule is a model of dependencies and assumptions, not a decorative timeline, and that compression decisions exchange money, risk and management attention for time.

Assessment options for a Project Management course

The intended learning outcomes reward judgement rather than recall, so assessment should ask students to recommend, design, forecast and defend. A common defensible split is one group applied output carrying most of the summative weight plus an individual defence or reflection that provides attributable evidence, subject to local regulations. The menu below is not a recommendation to use every format.

Assessment option

Indicative weighting

What students submit

What to reward

Integrated project pack

Group, 50-60%

Business case, governance map, scope/WBS, schedule, budget/resource logic, risk/stakeholder plan and control view.

Integration, assumptions, decision logic and internal coherence.

Individual oral defence

Individual, 15-20%

Short viva or recorded defence of two major project decisions and one rejected alternative.

Attributable reasoning, response to challenge and command of the group's evidence.

Status and recovery memo

Individual or group, 20-30%

Forecast a project from live performance evidence and recommend corrective action.

Interpretation, forecasting, prioritisation and recovery logic.

Case analysis

Individual, 20-30%

Analyse a published or lecturer-built project case with a specific decision.

Evidence, assumptions, alternatives and recommendation.

Simulation reflection

Individual, 10-20%

Use simulation decisions as evidence, then connect them to project-management concepts.

Transfer, critical reflection and identification of what the simulation did not capture.

Common mistakes when teaching Project Management

The strongest courses repeatedly ask students to use plans, evidence and judgement to make and defend delivery decisions. None of these mistakes is a sign of a weak course; most are the natural result of squeezing a broad discipline into one semester.

Common mistake

Why it weakens the course

Better approach

Turning the course into scheduling software training

Students may learn interface steps without understanding dependency, governance or value decisions.

Teach network and decision logic first; use software only after students can explain what the model means.

Treating the iron triangle as the whole definition of success

Projects can hit time and budget while missing benefits, quality or adoption.

Set success criteria across delivery, value, outcomes and stakeholder acceptance at initiation.

Teaching agile and predictive as opposing camps

Students choose labels instead of tailoring to context.

Use uncertainty, regulation, feedback cadence and dependency structure to justify predictive, adaptive or hybrid delivery.

Writing business cases as advocacy

Benefits become optimistic promises and weak projects survive scrutiny.

Require alternatives, evidence gaps, downside assumptions and a named benefits owner.

Producing a task list instead of controlled scope

Planning drifts because requirements, deliverables and acceptance are not connected.

Use deliverable-oriented WBS, traceable requirements and explicit exclusions.

Teaching critical path as a formula

Students can calculate a path but cannot manage dependencies or schedule risk.

Use schedule updates, ambiguity and compression decisions so calculations lead to action.

Treating reserves as spare budget

Contingency and management reserve lose their governance meaning.

Separate known-risk contingency, baseline and management reserve, with rules for access.

Using risk registers as compliance documents

Long lists replace prioritisation and response.

Require cause-event-effect statements, owners, funded responses and triggers for the top risks.

Reporting variance without forecasting consequences

Dashboards explain the past but do not support decisions.

Make every status report state forecast impact, decision required and recovery options.

Ending at handover

Benefits, adoption and learning become ownerless.

Assign benefits ownership beyond closure and schedule a post-project review with measurable outcomes.

Frequently asked questions

Related course guides and teaching resources

Operations Management Course Guide

Capacity, process, quality and operational control alongside project delivery.

Entrepreneurship Course Guide

Venture creation, uncertainty and applied delivery in startup settings.

Management Information Systems Course Guide

Technology-enabled change, implementation and information governance.

Business Analytics Course Guide

Evidence, metrics and decision support for project selection and control.

Startup Creation Simulation

Primary adjacent capstone environment for this course page.

View simulation

Capital Budgeting Simulation

Project appraisal and constrained capital allocation.

View simulation

Next steps for your module

If you are building or refreshing a Project Management module, start with the intended learning outcomes and assessment evidence, then choose the syllabus sequence and applied activities that make those outcomes observable.

Course design

Adapt the 12-session structure

Explore this next step for your module.

Review the syllabus

Book a demo

See the student and professor experience

Explore this next step for your module.

Book a demo