Undergraduate programme

Industry host: Andrew Tan, Co-Founder and Group President, Moladin

Dates: 24 – 28 August 2026

Designing Your Future: Strategic Life & Career Planning in the Age of AI

AI and automation are reshaping careers faster than any generation has experienced before. The old question, “What do I want to be?”, has been replaced by a harder one: “How do I build a life and career that stays meaningful when the landscape keeps shifting?”

This intensive 5-day Master Class gives you the frameworks to answer that question. Drawing on strategic life design and futures thinking, you’ll learn to approach your future not as a problem to solve, but as a design challenge full of possibility.

You’ll explore how AI and automation are transforming industries and career pathways, not to predict the future, but to make smarter, more adaptive choices today. Alongside technology, you’ll develop a working knowledge of the other major forces reshaping our world: climate change, shifting demographics, and emerging economic models. Each session combines interactive exercises, peer collaboration, and individual reflection to move you from exploration to actionable next steps.

You’ll leave with clarity on your core values and interests, a map of divergent possible futures, and specific experiments you can run immediately to test your most compelling directions. Most importantly, you’ll gain a repeatable framework for navigating uncertainty, and continuously designing a life and career aligned with who you are and who you’re becoming, in a world that won’t stop changing.

Industry host: Tommy Leong, Senior Business Leader, Former Senior Vice President, Schneider Electric (retired)

Date: 31 August – 4 September 2026

Physical AI Orchestration, Integration and Monetisation 

This 5‑day masterclass guides students to design a high‑level, vendor‑neutral BMS (building management system) integration concept and subscription business model for the orchestration layer of Physical AI in the Buildings segment. Students will work in teams to blend technical design thinking with practical subscription design and conclude with a final team presentation.

Context

Physical AI (e.g. cleaning, delivery and security robots) is increasingly deployed in commercial, institutional, and mixed-use buildings. However, large-scale deployment is constrained by integration complexity, safety/liability concerns, and fragmented vendor ecosystems. QuikBot has developed an orchestration and trust layer for Physical AI in buildings, integrating robots with elevators, doors, and building systems, and providing identity, safety, and policy enforcement. Integration with existing BMS is complex due to multiple architectures (on-prem centralised, distributed, cloud-hosted), protocols (BACnet, Modbus, KNX, etc.) and legacy systems, and developing a practical business model to monetise the solution with building owners or operators is key for commercialisation.

Learning goals

• Explain the role of the Physical AI orchestration layer in buildings.
• Identify key BMS touchpoints relevant to deploying Physical AI at scale.
• Translate orchestration/integration capabilities into clear services that can be monetised.
• Design a subscription business model for the integrated solution.
• Communicate the solution/business narrative through a final team presentation.

Industry host: Anand S, Head of Innovation, Straive

Date: 7 – 11 September 2026

How to Build AI Products – and Prove They Work

“The hardest part of actually using AI is knowing whether the thing actually works.”

This quote from a real customer captures one of the central challenges facing the industry – which lies not only in building solutions but in determining whether they actually work in real-world contexts. In this Master Class, students will engage with real problem statements drawn from Straive’s client engagements, design and develop AI-driven prototypes, while simultaneously constructing robust evidence to evaluate their effectiveness and trustworthiness. The benchmarks, evaluation frameworks, and performance criteria separate vibe-coded demos from deployable products. The programme culminates in a final presentation, where students will not only showcase their product solutions, but also articulate a clear, evidence-based case for why their systems can be trusted in an organisational setting.

Learning outcomes
By the end of the Master Class, students will be able to:

• Frame a real-world AI opportunity and build a working prototype using current frontier tools.
• Design and apply benchmarks, rubrics, and tests that assess whether an AI product is reliable, calibrated, and fit for use.
• Identify and articulate failure modes, uncertainty, and ethical and human-centred risks in AI systems.
• Communicate a clear, evidence-backed narrative for why a solution can be trusted in an organisational context.

Student deliverables
Students will produce a distinctive portfolio artefact comprising both:

• An AI prototype, and
• A structured body of evidence that proves it works

This combination reflects a form of verification and evaluative judgement that is increasingly valued in industry yet remains underdeveloped in many graduate profiles.

Internship
Straive will offer an internship based on the Master Class performance.

Industry host: Andrey Leskov (co-founder and CEO); Ling-Yi Chang (co-founder and CPO), illumi.one
Date: Jan 2027

Applied AI Judgment: Evaluating Value, Risk, and Real-World Use

Develop your practical AI judgment—be enabled to assess AI capabilities, identify high-value use cases, and recognise risks related to errors, bias, and system complexity in real-world applications.