Strategic Engineering

On completion of this summer school, students will be able to:

• Understand key principles of the strategic engineering approach and how it differs from traditional engineering design.
• Apply analytical techniques (e.g. Monte Carlo simulation, decision trees, discounted cash flow analysis) to evaluate engineering decisions under uncertainty.
• Identify and assess uncertainties, risks, and opportunities in complex engineering projects, and propose strategies to address them.
• Think critically and creatively about large-scale engineering problems, crafting solutions that can adapt to changing requirements and future scenarios.
• Develop insights and present strategic recommendations in a professional manner, synthesizing technical and non-technical information for decision-makers.
• Experience and reflect on team-based learning and communication through a group project, enhancing collaboration and leadership skills.

In addition, students will have the opportunity to meet like-minded peers and Imperial student ambassadors through academic and social activities. Participants will get a taste of what it’s like to study at a world-class university, while building international connections and exploring options for future study or careers.

• Understanding and navigating complex socio-technical systems and stakeholder dynamics.
• Embracing uncertainty in engineering planning (moving beyond single-line forecasts).
• Designing engineering systems for change over time and long-term value.
• Exploring a broad space of possible futures through scenario analysis and simulation.
• Valuing flexibility and adaptation as an asset in system design.
• Balancing risk–reward trade-offs for multiple stakeholders and objectives.
• Developing strategic “game plans” for phased implementation and project execution.
• Communicating analytical insights and recommendations effectively to stakeholders.

The Dyson School of Design Engineering is the 10th and newest engineering department at Imperial College London. It was founded in 2014 and assisted by a generous donation from the James Dyson Foundation. Our goal is to empower innovators and decision-makers to harness the power of a rigorous and creative discipline that constructs better social and technical systems using new technologies as building blocks. By fusing the technical to the human, we’re helping to create a world that’s just, sustainable, and teeming with possibilities.

The programme consists of approximately 60 contact hours spread over 10 weekdays, featuring a mix of lectures, in-class exercises, workshops, project work, social activities, and relevant site visits. Classes will be delivered on campus each weekday. Students will be allocated to small teams for in-class exercises, using a team-based learning approach under faculty supervision. The capstone project (Application Portfolio) will be developed in teams and presented to a panel of experts on the last day of the programme.

All teaching and activities will be conducted in English.

Introduction to Strategic Engineering Framework

Begins with a shift away from treating engineering as purely technical and toward seeing it as a process of designing systems that can evolve over time. Concepts introduced include recognising that the future is hard to predict; embedding socio-technical factors; keeping decision points flexible; and planning not just what to build, but when and how to build it.

Navigating Complexity & Embracing Uncertainty

Covers seeing projects as embedded in complex networks of social, regulatory, economic, and technical forces. Introduces concepts from systems architecture and systems engineering to break down silos between disciplines and stakeholders. Moves into uncertainty: why standard forecasts often fail; how “Flaw of Averages” can mislead; and how decisions can be structured so that they preserve optionality rather than locking in irreversible paths.

Designing for Change & Exploring Possibilities

Examines how technology, markets, and policies evolve and how designs must dynamically adapt and be evaluated over time (time value of money). Introduces techniques for staged decision making, discounting future value under uncertainty using e.g., decision trees. Also, using simulation ensembles (e.g. Monte Carlo) to explore a wide “space of possibilities” rather than relying on just a few scenarios.

Valuing Adaptation & Balancing Stakeholder Risks

Focuses on quantifying flexibility - treating adaptability as an asset rather than an extra cost. Real options thinking: what is the value of keeping doors open, modularity, and the ability to reconfigure? Also, how different stakeholders (investors, regulators, communities) assess risk and reward differently, and how strategic engineering uses trade-off analysis to balance competing objectives.

Creating the Game Plan & Course Synthesis

Brings all previous ideas together into execution: building plans that survive unexpected shifts (in funding, leadership, regulation). Use of hold-points, gates, phased rollout. Prepares the transition from theory to practice via case studies. Sets teams up with the frameworks they’ll need for their Application Portfolio: selecting a system, identifying uncertainties, choosing metrics, designing scenarios, and planning how to make decisions over time in light of what they discover.

Application studies

The above principles and concepts will be taught using a combination of theoretical presentations and real-world, hands-on example applications and analysis covering sectors such as aerospace, energy, real estate and transport.

Participants will reinforce their learning through team-based exercises and a capstone group project. During both weeks, students work in small teams on guided case-study exercises during class, applying strategic engineering concepts to example scenarios as part of group project called Application Portfolio (AP). The first week focuses on key concepts and example applications. The second week goes into real-world case studies demonstrating specific strategic engineering tools and methods. In the AP project, teams select a real-world engineering system or product of their choice and apply the principles from lectures L1–L10 to that case.

This involves analysing the system’s architecture, uncertainties, adaptation strategies, assessing economic performance alongside market and technology risks, and formulating strategic design and investment recommendations. Teams will employ tools such as Object Process Modelling (to capture the overall architecture of their system), Monte Carlo simulation (to explore many possible scenarios and impact on economic performance), decision analysis (to structure and analyse time-critical decisions), flexibility valuation techniques (to quantify the value of design options that allow adaptation using decision rules), and pareto analysis (to evaluate decisions in light of different risk tolerance profiles). The goal of the AP project is to document how strategic engineering methods can improve the design and management of the chosen system under uncertain future conditions.

Under the supervision of Imperial academics and external mentors (TBC), student groups will iterate on their projects throughout both weeks. They will produce a professional analysis that:

1. Addresses the chosen engineering challenge and its context.
2. Provides creative ideas for meeting stakeholder needs under uncertainty.
3. Follows rigorous research and data analysis practices.
4. Visualises data and uncertainty insights using appropriate charts/models.
5. Presents a structured narrative with clear reasoning.
6. Delivers a compelling set of recommendations that demonstrate flexibility and foresight.

On the last day of the course, teams will present their Application Portfolios to a panel of experts (faculty and industry guests), simulating a real-world design review. A prize will be awarded to the team with the best project.

This summer school is designed for undergraduate, postgraduate and PHD students (preferably in engineering, science or related fields) who are interested in systems design, technology strategy, or management consulting. Students are introduced to key concepts by experienced faculty and practitioners, gaining insight into how strategic engineering principles apply across industries.

The course teaches a strategic engineering mindset, underpinned by the processes and techniques used to tackle complexity and uncertainty in real engineering projects. You will learn to think critically and creatively about open-ended problems, moving beyond siloed technical analysis to a broader systems perspective. Teaching is highly interactive: you will analyze case studies, engage in simulations and scenario exercises, and collaborate with peers to form high-performing teams.

Throughout the programme, you will practice structuring and delivering professional-style presentations of your findings. The curriculum also integrates discussions on stakeholder management and ethical decision-making in engineering projects (for example, how to balance profit, safety, and sustainability objectives).

Applied learning techniques include hands-on data/sensitivity analysis and team-based design challenges. This summer school supports the development of core systems-thinking and decision-making skills relevant to students aspiring to careers in technology consulting, engineering design, or strategy roles in engineering-intensive industries.

Teaching will take place over two weeks on campus at Imperial College London and will be taught in person. Students will attend class five days per week (Monday–Friday). Each day includes lectures and in-class supervised group activities, culminating in a team panel presentation of project findings at the end of the programme.