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Accounting & Finance FinTech and Financial Analytics

Executive Certificate in Big Data, A.I. and Investing
行政人員證書《大數據,人工智能與投資》

Course Code
EP103A
Application Code
2255-EP103A
Study mode
Part-time
Start Date
02 Nov 2024 (Sat)
Next intake(s)
May 2025
Duration
1 month to 2 months
Language
English
Course Fee
Course Fee: $8800 per programme (* course fees are subject to change without prior notice)
Deadline on 18 Oct 2024 (Fri)
Enquiries
2867 8331
2681 0278
Apply Now

Today and Upcoming Events

Confirmed Launch for the Nov 2024 intake! There will be practical classes in the computer laboratory. AI is widely used in analyzing asset prices and predicting stock price movements. Our experienced lecturer will share the applications of AI in quantitative investment and algorithmic trading. Welcome to your online application!

Highlights

This programme aims to provide students with knowledge in Big Data and Artificial Intelligence technologies and their applications in investment management.  Students are expected to be familiar with different big data analyses and A.I. processes upon completion of the programme.

The programme provides an insight on how the current development in these two areas assist and influence investment decision and behaviour. 
 

ECBDAII

Who would benefit from EC in Big Data, AI & Investing:

  • one who is interested in Big Data and Artificial Intelligence
  • one who has solid investment and quantitative background
  • one who wants to learn how Big Data and A.I. influence investment decision
  • one who wants to apply Big Data available to their investment theories
  • one who is interested to explore the meaning of machine trading

Programme Details

On completion of the programme, students should be able to: 

1.    evaluate different methodologies on Big Data analytics and AI technologies affecting investment decisions;
2.    identify the limits and potentials of data mining and predictive analytics on investing; 
3.    make use of off-the-shelf online Big Data software for investing reference;
4.    apply and analyze using big data concepts and forecast their results through case studies. 

Application Code 2255-EP103A Apply Online Now
Apply Online Now

Days / Time
  • Saturday, 1:30pm - 7:30pm
Duration
  • 30 hours per module
Venue
  • Hong Kong Island Campus
  • Kowloon East Campus

Modules

Course Content: 
1.    Introduction to Data Processing and Analyzing on Investing (Application: DATATACT Web)
-     Survey the current industry practices and trends
-     Case studies on the impact of Big Data and AI 
-     Big data processing techniques (such as collection, indexing and storage)


2.    Sentiment Analysis (Applications: Stanford API + DATATACT Web)
-      News and social media sentiment analysis
-     Sentiment and price performance correlation
-      Performing sentiment analysis and filtering


3.    Automated Trading (Applications: Market data and AIgo app)
-          Understanding Algorithmic, Program and High Frequency trading
-          Real-time analytics and data-streaming processing
-          Examples of online real-time data for analysis


4.    Predictive Analytics and Visualisation of results
-          The basics of AI and Machine Learnings 
-          Applying machine learning to predict stock order flow
-          Interpretation of data thru visualization


5.    Challenges of Deep & Reinforcement Learning (ie. Alpha Go) techniques in investing
-          Introducing Alpha-Go and its underlying technologies
-          Limitation on the prediction techniques
-          Managing the trading costs

Assessment method: Continuous assessment (In-class assignments) + Final Assessment (Group presentation & report)

The Executive Certificate will be conferred to candidates who have attained PASS grade and achieved at least 70% attendance of the programme.

Teacher

(1) Mr. Ken Liu, co-founder and CTO of Datatact Ltd, a startup focus on AI, Machine Learning and Big Data analytics. He is a hands on expert in his specialized area for over 10 years.  Prior to Datatact, Ken worked at Citi, HSBC, Goldman Sachs, Deutsche Bank and Credit Suisse as Algo-Trading developer. Ken earned a Master in Computer Science from USC and a Bachelor in Computer Science from University of Warwick.

(2) Dr. Peter Yau has over 10 years of industrial and training experience in both the technical and business domains. He was the IT Director of a consultancy firm, providing advisory and development service to the investment banks, universities, hospitals, government and global suppliers. He was the subject matter expert in one of the big four accounting firms and was invited to give a training program to the government official in an open forum which was funded by the European Union in Ulaanbaatar. He shares his knowledge in information technology by teaching in the tertiary education and conducting research. His doctoral research is Fintech related.

Class Details

 Timetable

Nov 2024 intake 

Lecture Date Time

1

2 Nov 24 (Sat) 13:30-19:30
2 9 Nov 24 (Sat) 13:30-19:30
3 16 Nov 24 (Sat) 13:30-19:30
4 23 Nov 24 (Sat) 13:30-19:30
5 30 Nov 24 (Sat) 13:30-19:30

Remarks: Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers.

Fee

Application Fee

HK$150 (student only needs to pay one time application fee for all EC in Big Data Series)

Course Fee
  • Course Fee: $8800 per programme (* course fees are subject to change without prior notice)

Entry Requirements

Applicants shall hold:
a)    a bachelor’s degree awarded by a recognized University or equivalent; or
b)   an Associate Degree/ a Higher Diploma or equivalent, and have at least 2 years of relevant working experience.

Applicants with other qualification and substantial senior level work experience 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.