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Accounting & Finance FinTech and Financial Analytics

Certificate for Module (Embodied AI and Spatial Finance)
證書(單元 : 具身智能與空間金融)

Course Code
FN179A
Application Code
2445-FN179A
Credit
6
Study mode
Part-time
Start Date
12 Sep 2026 (Sat)
Next intake(s)
Dec 2026
Duration
30 hours
Language
English
Course Fee
Course Fee: HK$10,800 per programme (* course fees are subject to change without prior notice)
Deadline on 02 Sep 2026 (Wed)
Enquiries
2867 8331 / 2867 8424
2861 0278
Apply Now

Accept new applications for Sep 26 intake! There will be practical classes in the computer laboratory.

Highlights

This programme aims to provide students with the strategic and technical foundations required to integrate embodied artificial intelligence (EAI) and spatial finance into modern financial architecture. It discusses the economic implications of Artificial General Intelligence (AGI), the technical components of EAI, such as robotics and sensor technologies, and their application in the financial sector. Students will learn to utilise geospatial data for advanced financial analytics and to explore digital twin ecosystems for asset management and innovative financial applications. The programme also equips students with a no-code platform featuring generative AI to explore practical applications of spatial finance.

Programme Details

On completion of the programme, students should be able to 

1.    critically evaluate the convergence of artificial general intelligence (AGI), robotic kinematics, and sensor actuation, and explain the evolution of financial systems toward an embodied, machine-integrated economy;
2.    assess the regulatory, safety, and governance frameworks related to cyber-physical risk, and examine the interaction among autonomous agents, sovereign artificial intelligence (AI) compute reserves, and physical safety protocols from a governance, risk, and compliance (GRC) perspective;
3.    analyse the economic implications of spatial finance and digital twins for asset valuation, and design strategic frameworks by applying geospatial intelligence and internet of things (IoTs) telemetry to implement real-time parametric finance;
4.    discuss the impact of Robotics-as-a-Service (RaaS), usage-based financing, return on investment (ROI), and the physical transformation for the future financial workforce and sustainability; and
5.    utilise a no-code platform to prototype and explore practical applications of spatial finance, bridging conceptual frameworks with real-world deployment scenarios.

 

Application Code 2445-FN179A Apply Online Now
Apply Online Now

Days / Time
  • Saturday, 2:00pm - 5:45pm
Duration
  • 30 hours per programme
Venue
  • Hong Kong Island Learning Centre
  • Kowloon West Campus
  • Kowloon East Campus

Modules

Course Content :

(1) Overview of artificial general intelligence (AGI) evolution and convergence

  • Introduction no-code platforms featuring generative AI
  • Evolution of AGI, convergence theory, symbiotic web and organization AI
  • Ethical and privacy issues in AGI

(2) Technological elements in embodied artificial intelligence (EAI), and their financial and business applications

  • Overview of spatial intelligence in physical agents
  • Sim-to-real transfer for financial robotics
  • EAI and robotics with perception and actuation
    • Computer vision
    • Light detection and ranging (LiDAR) and depth sensing
    • Sensor fusion
    • Robot kinematics
    • Haptic feedback
    • Teleoperation
  • EAI, language models and motion
    • Architectures of popular language models
    • From generative text to generative motion
    • Neural radiance fields (NeRFs)
  • Human-robot collaboration in finance and business

(3) Spatial finance, internet of thing (IoT) and edge economics

  • Spatial finance, and environmental, social, and governance (ESG) analytics
  • Geospatial technologies and satellite IoT tracking
  • Environmental monitoring and climate risk modelling
  • Edge computing and low-latency financial actions
  • Location-triggered smart contracts
  • Graphics processing unit (GPU) and neural processing unit (NPU) architectures, and compute-per-watt metrics

(4) Digital twins and financial ecosystems

  • Digital twins, smart cities, and infrastructure financing
    • Digital twins for collateral and related financial implications
    • Building information modeling (BIM)-integrated auditing and mortgages
    • Simulation-to-reality
    • Urban analytics
    • Dark store valuation
  • Sector-specific implementations and financial applications
    • Overview of Industry 4.0
    • Healthcare robotics and surgical finance
    • Agriculture technologies and micro-lending
    • Maritime spatial finance and autonomous trade routes
    • Robotic mining and natural resource extraction
    • Logistics-as-a-Service (LaaS)
  • Parametric risk and real-time finance
    • Sensor-triggered payouts and insurance
    • Automated trade finance
    • Usage-based finance (UBF) and leasing robots
    • Actuarial AI
    • Cyber-physical risk

(5) Strategic implementation of EAI and spatial finance

  • Cost analysis and sectoral return on investment (ROI) assessment
    • Direct and indirect costs in embodied intelligence
    • Agentic effectiveness and new key performance indicators (KPIs)
    • Robotics-as-a-Service (RaaS)
    • Sectoral ROI
  • Sovereign AI and national compute reserves
    • Sovereign AI stacks
    • National AI grids and financing AI infrastructures
    • Data sovereignty governance, risk, and compliance (GRC)
  • Advanced GRC: safety, risk and compliance
    • Model risk management (MRM)
    • Physical safety GRC and modelling kinetic risk
    • Explainable AI (XAI), red teaming agents, privacy-preserving infrastructure, regulatory sandboxes
    • Kill switch: regulatory compliance and governance issues
  • Strategic implementation and the physical shift
    • Legacy systems integration
    • Labour reskilling finance
    • Ethical alignment
    • AGI-assisted sustainability and human-AI collaboration

Assessment method: Individual Assignment + Group Project Presentation

 

Award

Upon successful completion of the programme, students who have passed the assessments with attendance no less than 70% will be awarded within the HKU system through HKU SPACE a "Certificate for Module (Embodied Artificial Intelligence and Spatial Finance)".

 

Class Details

Timetable

Lecture

Date

Time

1

12 Sep 26 (Sat)

14:00-17:45

2

19 Sep 26 (Sat)

14:00-17:45

3

3 Oct 26 (Sat)

14:00-17:45

4

10 Oct 26 (Sat)

14:00-17:45

5

17 Oct 26 (Sat)

14:00-17:45

6

24 Oct 26 (Sat)

14:00-17:45

7

31 Oct 26 (Sat)

14:00-17:45

8

7 Nov 26 (Sat)

14:00-17:45

Teacher Information

Ms Irene Lam

Background

Ms Irene Lam has over 15 years of experience in audit, risk management, compliance, and Anti-Money Laundering/Counter-Financing of Terrorism (AML/CFT) within the financial services industry. She has worked at several Globally Systemically Important Banks (G-SIBs), including Standard Chartered Bank, HSBC (via Hang Seng Bank), and Mizuho Bank. Her expertise lies in managing enterprise, operational, cybersecurity, and technology risks. She has experience as a 3rd-line auditor, 2nd-line risk steward, and 1st-line risk professional, and has managed artificial intelligence proof-of-concept projects. Her experience also includes conducting threat scenario-led risk analyses, institutional risk landscape assessments, thematic reviews, and audits of financial products and electronic platforms. Additionally, she oversaw regulatory matters as a designated manager under the Payment Systems and Stored Value Facilities Ordinance  (Cap. 584).

She holds a Master of Information Systems Studies from the Australian National University, a Bachelor of Commerce from the University of Melbourne, and a Diploma in China (Commercial) Law from Shenzhen University. Her certifications include Certified Information Systems Auditor (CISA), Certified Ethical Hacker (CEH), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), Certified Anti-Money Laundering Specialist (CAMS), and Certified Big Data Professional (CBDP).

Within her areas of expertise, she held the roles of Senior Vice President at a Hong Kong Monetary Authority Stored Value Facilities license holder and Associate Director at Standard Chartered Bank (Hong Kong) Limited.

Fee

Application Fee

HK$150 (Non-refundable)

Course Fee
  • Course Fee: HK$10,800 per programme (* course fees are subject to change without prior notice)

Entry Requirements

Applicants should hold an Advanced Diploma, Higher Diploma or Associate Degree awarded by a recognised institution where the language of teaching and assessment is English. Those with a background in business, accounting, finance, economics, mathematics, statistics, science, engineering, IT or computer science would have an advantage.

Applicants with other equivalent qualifications will be considered on individual merit.

**Please upload copy of HKID and proof of degree while applying online

Apply

Online Application Apply Now

Application Form Download Application Form

Enrolment Method
Payment Method
1. Cash, EPS, WeChat Pay Or Alipay

Course fees can be paid by cash, EPS, WeChat Pay or Alipay at any HKU SPACE Enrolment Centres.

2. Cheque Or Bank draft

Course fees can also be paid by crossed cheque or bank draft made payable to “HKU SPACE”. Please specify the programme title(s) for application and applicant’s name. You may either:

  • bring the completed form(s), together with the appropriate course or application fees in the form of a cheque, and any required supporting documents to any of the HKU SPACE enrolment centres;
  • or mail the above documents to any of the HKU SPACE Enrolment Centres, specifying “Course Application” on the envelope. HKU SPACE will not be responsible for any loss of personal information and payment sent by mail.
3. VISA/Mastercard

Applicants may also pay the course fee by VISA or Mastercard, including the “HKU SPACE Mastercard”, at any HKU SPACE enrolment centres. Holders of the HKU SPACE Mastercard can enjoy a 10-month interest-free instalment period for courses with a tuition fee worth a minimum of HK$2,000; however, the course applicant must also be the cardholder himself/herself. For enquiries, please contact our staff at any enrolment centres.

4. Online Payment

Online application / enrolment is offered for most open admission courses (enrolled on first come, first served basis) and selected award-bearing programmes. Application fees and course fees of these programmes/courses can be settled by using "PPS by Internet" (not available via mobile phones), VISA or Mastercard. In addition to the aforesaid online payment channels, new and continuing students of award-bearing programmes with available online service, they may also pay their course fees by Online WeChat Pay, Online Alipay or Faster Payment System (FPS). Please refer to Enrolment Methods - Online Enrolment  for details.

Notes

  • If the programme/course is starting within five working days, application by post is not recommended to avoid any delays. Applicants are advised to enrol in person at HKU SPACE Enrolment Centres and avoid making cheque payment under this circumstance.

  • Fees paid are not refundable except under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment), subject to the School’s discretion. In exceptional cases where a refund is approved, fees paid by cash, EPS, WeChat Pay, Alipay, cheque, FPS or PPS by Internet will be reimbursed by a cheque, and fees paid by credit card will be reimbursed to the credit card account used for payment. 

  • In addition to the published fees, there may be additional costs associated with individual programmes. Please refer to the relevant course brochures or direct any enquiries to the relevant programme team for details.
  • Fees and places on courses cannot be transferrable from one applicant to another. Once accepted onto a course, the student may not change to another course without approval from HKU SPACE. A processing fee of HK$120 will be levied on each approved transfer.
  • HKU SPACE will not be responsible for any loss of payment, receipt, or personal information sent by mail.
  • For payment certification, please submit a completed form, a sufficiently stamped and self-addressed envelope, and a crossed cheque for HK$30 per copy made payable to “HKU SPACE” to any of our enrolment centres.
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