OSALP 2025-04
Nurturing Future Risk Managers and Actuaries: An AI-powered Journey for Gifted Secondary Students
Programme Number: 2025-04 |
Funded by: Gifted Education Fund, Education Bureau
Target Intake: 50 gifted S2–S3 students (HKAGE student members)
Programme Period: Preparation (Feb–Apr 2026) | Delivery (May–Oct 2026)
Total Contact Hours: ≤ 100 hours
Target Intake: 50 gifted S2–S3 students (HKAGE student members)
Programme Period: Preparation (Feb–Apr 2026) | Delivery (May–Oct 2026)
Total Contact Hours: ≤ 100 hours
Announcement (25 Feb 2026)
- Student enrolment period: 11 February 2026 – 18 March 2026 (50 places only)
- Promotional posters and invitation letters have been sent to partner schools.
- Short promotional videos are now available on the CUHK STA eLearn YouTube channel.
General Information
| Programme Provider | Department of Statistics and Data Science, The Chinese University of Hong Kong |
| Programme Leader | Prof. YAU Chun Yip |
| Curriculum & Learning Support Specialist | Mr. KAN Kin Wai |
| Administrative & Outreach Coordinator | Ms. NG Yan Yau, Yanny |
Learner Diversity & Differentiation Strategies
(From approved Clarification Responses – both rounds)
- Concepts introduced from first principles starting with basic arithmetic, algebra and simple financial concepts in Phase 1
- No requirement for prior knowledge of HKDSE Mathematics, Economics, BAFS or ICT
- Pre-programme baseline assessments to gauge skills and allow flexible grouping
- Microsoft Copilot as primary AI tool for personalised support with explicit hallucination-minimisation guidance
- Tiered tutorials by Learning Support Specialist and trained undergraduate mentors (foundational scaffolding + advanced extensions)
- Flexible capstone project options in Phases 4–5 with adjustable complexity
- Ongoing monitoring via formative assessments, student feedback surveys, and real-time pacing/content adjustments
Detailed Lesson Schedule
Phase 1: Foundational Knowledge in Mathematics, Statistics, and Finance (17.5 hours)
| Session | Date | Time | Venue | Instructor(s) / Support | Topic / Contents / Remarks |
|---|---|---|---|---|---|
| 1 | 16 May 2026 (Sat) | 10:30–12:30 Lecture / 12:30–14:00 Lunch / 14:00–15:30 Tutorial | LSB LT1 / LSB G25 | Prof. Chan Kin Wai + Mr. Kan Kin Wai + TBC | Arithmetic & algebra; money/saving/interest. Quizzes, real-life cases, Copilot for examples/simulations. Differentiated instruction. |
| 2 | 30 May 2026 (Sat) | 10:30–12:30 Lecture / 12:30–14:00 Lunch / 14:00–15:30 Tutorial | LSB LT1 / LSB G25 | Prof. Chan Kin Wai + Mr. Kan Kin Wai + TBC | Statistics foundations (data types, collection, mean/median/mode, variability). Group surveys, graphs with Copilot code/visualization. |
| 3 | 13 Jun 2026 (Sat) | 10:30–12:30 Lecture / 12:30–14:00 Lunch / 14:00–15:30 Tutorial | LSB LT1 / LSB G25 | Prof. Chan Kin Wai + Mr. Kan Kin Wai + TBC | Probability basics (rules, random variables). Games, Copilot calculations/scenarios. |
| 4 | 27 Jun 2026 (Sat) | 10:30–12:30 Lecture / 12:30–14:00 Lunch / 14:00–15:30 Tutorial | LSB LT1 / LSB G25 | Prof. Chan Kin Wai + Mr. Kan Kin Wai + TBC | Discrete distributions (permutations/combinations, Bernoulli/Binomial). Copilot explanations/computations. |
| 5 | 10 Jul 2026 (Fri) | 10:30–12:30 Lecture / 12:30–14:00 Lunch / 14:00–15:30 Tutorial | LSB LT1 / LSB G25 | Prof. Chan Kin Wai + Mr. Kan Kin Wai + TBC | Finance intro (markets, stocks/bonds, risk-return). Portfolio simulations, Copilot insights. Mentor tutorials; formative feedback. |
Phase 2: Risk Management Science (20 hours)
| Session | Date | Time | Venue | Instructor(s) / Support | Topic / Contents / Remarks |
|---|---|---|---|---|---|
| 6 | 15 Jul 2026 (Wed) | 10:30–16:00 | LSB LT1 / G25 | Prof. Tony Sit + Mr. Kan Kin Wai + TBC | Introduction to Risk Management and Statistics. Overview of risk concepts and basic statistical tools. |
| 7 | 17 Jul 2026 (Fri) | 10:30–16:00 | LSB LT1 / G25 | Prof. Tony Sit + Mr. Kan Kin Wai + TBC | Statistical Distributions (normal, binomial, Poisson). Properties and applications in risk modelling. |
| 8 | 22 Jul 2026 (Wed) | 10:30–16:00 | LSB LT1 / G25 | Prof. Tony Sit + Mr. Kan Kin Wai + TBC | Law of Large Numbers and Central Limit Theorem. Theoretical foundations for risk aggregation. |
| 9 | 24 Jul 2026 (Fri) | 10:30–16:00 | LSB LT1 / G25 | Prof. Tony Sit + Mr. Kan Kin Wai + TBC | Risk Identification, Assessment, and Management (including Value at Risk – VaR). Practical tools and case studies. |
| 10 | 25 Jul 2026 (Sat) | 10:30–16:00 | LSB LT1 | Guest Speaker (TBC) + Mr. Kan Kin Wai | Summative MCQ assessment (FRM-style) + Guest Lecture on industry applications. |
Phase 3: Actuarial Science and Insurance Principles (16 hours)
| Session | Date | Time | Venue | Instructor(s) / Support | Topic / Contents / Remarks |
|---|---|---|---|---|---|
| 11 | 29 Jul 2026 (Wed) | 10:30–16:00 | LSB LT1 / G25 | Prof. Tony Sit + Mr. Kan Kin Wai + TBC | Introduction to Actuarial Science and Insurance. Core concepts and actuarial role in risk transfer. |
| 12 | 31 Jul 2026 (Fri) | 10:30–16:00 | LSB LT1 / G25 | Prof. Tony Sit + Mr. Kan Kin Wai + TBC | Annuities, Present Value, and Life Contingencies. Time value of money and basic life table applications. |
| 13 | 5 Aug 2026 (Wed) | 10:30–16:00 | LSB LT1 / G25 | Prof. Tony Sit + Mr. Kan Kin Wai + TBC | Survival Models and Insurance Pricing. Premium calculation and reserving principles. |
| 14 | 8 Aug 2026 (Sat) | 10:30–16:00 | LSB LT1 | Guest Speaker (TBC) + Mr. Kan Kin Wai | Summative MCQ assessment (SOA-style) + Guest Lecture on actuarial practice. |
Phase 4: Capstone Project Development (7.5 hours)
| Session | Date | Time | Venue | Instructor(s) / Support | Topic / Contents / Remarks |
|---|---|---|---|---|---|
| 15 | 12 Aug 2026 (Wed) | 13:30–16:00 | LSB LT1 | Mr. Kan Kin Wai | Capstone Kick-off: Group formation (groups of 5), topic selection (real fund risk analysis OR innovative insurance/annuity product design), project guidelines, Copilot usage briefing. |
| 16 | 26 Aug 2026 (Wed) | 13:30–14:45 | Zoom | Mr. Kan Kin Wai | Progress Check 1: Initial proposal review, data sources discussion, methodology feedback. |
| 17 | 9 Sep 2026 (Wed) | 16:30–17:45 | Zoom | Mr. Kan Kin Wai | Progress Check 2: Preliminary results, challenges troubleshooting, Copilot-assisted analysis guidance. |
| 18 | 23 Sep 2026 (Wed) | 16:30–17:45 | Zoom | Mr. Kan Kin Wai | Progress Check 3: Draft report review, visualisation refinement, presentation structure advice. |
| 19 | 7 Oct 2026 (Wed) | 16:30–17:45 | Zoom | Mr. Kan Kin Wai | Dry-run Presentations & Final Adjustments: Mock presentation, peer & mentor feedback, polishing. |
Phase 5: Showcase Event (4 hours)
| Session | Date | Time | Venue | Instructor(s) / Support | Topic / Contents / Remarks |
|---|---|---|---|---|---|
| 20 | 17 Oct 2026 (Sat) | 13:00–17:00 | LSB LT1 | Prof. Chan Kin Wai + Mr. Kan Kin Wai + Ms NG Yan Yau + TBC | Final Capstone Presentations (groups present), Peer Feedback, Award Ceremony, Programme Celebration & Closing Remarks. |
Capstone Project & Showcase
Students work in groups of 5 to conduct either (i) risk analysis of a real fund/portfolio or (ii) design innovative insurance/annuity products. Full support via Microsoft Copilot and bi-weekly Zoom mentoring sessions. Final showcase held on 17 October 2026 (Saturday), 13:00–17:00 at LSB LT1, CUHK.
Primary AI Tool
Microsoft Copilot – Official AI partner of the programme. All students receive dedicated training on safe, responsible use to minimise hallucination risks.
Compliance & Important Notes
All teaching materials and student outputs belong to the Education Bureau (Intellectual Property clause, Guide for Applicants 2025/26). Personal data are handled strictly in accordance with the Personal Data (Privacy) Ordinance (PDPO). Sexual Conviction Record Check (SCRC) completed for all staff and mentors having student contact. National security and positive values education requirements integrated throughout the programme.
Last updated: 24 February 2026 • Based on Detailed Implementation Plan submitted 25 Feb 2026