The outcomes above summarise the module's approved learning outcomes, which govern assessment:

1. Analyze industry challenges and opportunities, developing entrepreneurial mindsets to identify potential entrepreneurial solutions that address real-world problems.
2. Design a comprehensive project plan that integrates key entrepreneurial processes, including ideation, prototyping, and testing, to address the identified industry problems.
3. Develop a Minimum Viable Product (MVP) or prototype, incorporating iterative feedback from industry partners, peers, and faculty to enhance its viability and relevance.
4. Evaluate the sustainability impact of the proposed solution, aligning the project outcomes with relevant Sustainable Development Goals (SDGs) and demonstrating awareness of social, environmental, and economic considerations.
5. Collaborate effectively within multidisciplinary teams, demonstrating leadership, conflict resolution, and communication skills to achieve project milestones.
6. Reflect critically on individual performance throughout the project, identifying areas for personal and professional growth, and formulating strategies for future entrepreneurial challenges.

Presented live on Demo Day. The deck used on Demo Day and the final Milestone Portfolio are submitted approximately four weeks later, incorporating panel and Pathfinder feedback.

• A pitch presentation with a slide deck of no more than 10 slides, plus appendices. Each member presents a section.
• A live demonstration of your artefact: a working prototype, MVP, functional demo, service blueprint or testable simulation, shown in operation.
• Group questions from the panel, followed by an individual viva on your own contribution and the reasoning behind the team's decisions.
• A Milestone Portfolio recording how the project moved: the scoping output, the mid-block gate output, an attributed milestone log, the decisions taken and the field evidence gathered.
• A group-level disclosure of any use of generative AI.

A main body of no more than six A4 pages, organised around the project milestones and written as the work happens. Milestone maps, decision trees, annotated diagrams, timelines and tables are all acceptable within the page limit.

• Individual milestone record: what you set out to do, what you did and what came of it.
• Decision reasoning: the options, the evidence, the choice made and the options rejected. This is the central criterion.
• Learning Journey Map: your learning against the module outcomes, citing specific taught material and project evidence.
• Self and peer evaluation, including a confidential evaluation of each team member.
• An individual disclosure of any use of generative AI.

To pass at the first attempt you must pass both components; compensation between them is not permitted. Late submission deducts 5% per day for up to five days, after which the work is classified as not submitted.

No. The courses are independent and can be taken in either order. If you later take ISC002, you may bring your ISC001 project forward: declare it, and your analysis must advance beyond what you submitted in ISC001.

No. Supplied startup or industry briefs are available.

Final portfolios are submitted approximately four weeks later, allowing you to use the feedback.

Teams choose one project track at the start of the course. The preferred team size is four to six members; other sizes require the Module Leader's approval. No more than two teams may take the same brief.

Yes, as a tool under your critical supervision, for example to find literature, analyse interview transcripts or build mock-ups. It must not replace your own thinking, and it must never be used to generate primary data. You disclose your use of AI in both assessments.

Yes, if you enrol in the XJTLU MSc Entrepreneurship and Innovation, which leads to a University of Liverpool degree: completing this course can lead to credit recognition towards that MSc.

If you do not enrol in the MSc, you receive the certificate of completion but no academic credit.

The fee is THB 50,000 plus 7% VAT. Registration for the November–December 2026 run closes on 15 November 2026.

The fee covers teaching, course materials such as slides, the certificate of completion, refreshments and coffee at every session, and lunch boxes on weekend days. It does not cover AI tool subscriptions or transportation, including travel during fieldwork.

Pay by PromptPay or credit card in Thailand. Cancellations made before the course begins receive a 50% refund; no refund is available once the course has started.

The outcomes above summarise the module's approved learning outcomes, which govern assessment:

1. Analyze industry challenges and opportunities, developing entrepreneurial mindsets to identify potential entrepreneurial solutions that address real-world problems.
2. Design a comprehensive project plan that integrates key entrepreneurial processes, including ideation, prototyping, and testing, to address the identified industry problems.
3. Develop a Minimum Viable Product (MVP) or prototype, incorporating iterative feedback from industry partners, peers, and faculty to enhance its viability and relevance.
4. Evaluate the sustainability impact of the proposed solution, aligning the project outcomes with relevant Sustainable Development Goals (SDGs) and demonstrating awareness of social, environmental, and economic considerations.
5. Collaborate effectively within multidisciplinary teams, demonstrating leadership, conflict resolution, and communication skills to achieve project milestones.
6. Reflect critically on individual performance throughout the project, identifying areas for personal and professional growth, and formulating strategies for future entrepreneurial challenges.
7. Collect and critically compare evidence from selected markets across borders to develop and justify strategies for adapting a solution to different market contexts.

Presented live on Demo Day in Greater China before external judges. The portfolio is submitted approximately four weeks after Demo Day, so that judge feedback is incorporated into the final work.

• Two minutes of speaking per member, a live demonstration of your artefact, five minutes of group questions, then an individual viva.
• A slide deck of no more than 10 slides, plus appendices, carrying the problem, the artefact, the evidence and the numbers.
• A Milestone Portfolio: the scoping output from the Bangkok weekend, the two gate outputs, an attributed milestone log and field evidence from both Thailand and Greater China.
• A two-site comparison and a reasoned market-entry or implementation recommendation, including the conditions under which it would fail.
• A group-level disclosure of any use of generative AI.

A main body of no more than six A4 pages, submitted alongside the group portfolio and organised around the project milestones.

• Individual milestone record: what you set out to do, what you did and what came of it.
• Decision reasoning: the options, the evidence, the choice made and the options rejected.
• Learning Journey Map, citing specific taught material and project evidence, including your comparison across markets.
• Self and peer evaluation, including a confidential evaluation of each team member.
• An individual disclosure of any use of generative AI.

To pass at the first attempt you must pass both components; compensation between them is not permitted. Late submission penalties apply in accordance with the University's Code of Practice on Assessment.

No. The courses are independent and can be taken in either order. Participants arriving without prior study receive a foundations primer before the opening weekend.

No. You can join with a pre-scoped partner brief and starting evidence. If you bring a project carried forward from ISC001, declare it; your analysis must advance beyond what you submitted there.

The immersion week includes sessions at XJTLU Entrepreneur College (Taicang) and its campus laboratories, and company and site visits at host organisations in Greater China. Host organisations and the final visit sequence are confirmed for each intake.

You are responsible for holding valid travel documentation for entry, and the Centre will advise on the correct entry basis before departure. Travel days fall outside the teaching itinerary.

Accommodation and local transportation in Greater China are included in the fee.

To confirm Arrival and departure windows; flights, meals and insurance

Final portfolios are submitted approximately four weeks later, allowing you to use the feedback.

Yes, as a tool under your critical supervision. It must not replace your own thinking, and it must never be used to generate field data: this course rests on evidence gathered from real people in Thailand and Greater China. You disclose your use of AI in both assessments.

Yes, if you enrol in the XJTLU MSc Entrepreneurship and Innovation, which leads to a University of Liverpool degree: completing this course can lead to credit recognition towards that MSc.

If you do not enrol in the MSc, you receive the certificate of completion but no academic credit.

The fee is THB 80,000 plus 7% VAT, including accommodation and local transportation in Greater China.

Pay by PromptPay or credit card in Thailand. Cancellations made before the course begins receive a 50% refund; no refund is available once the course has started.