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BusinessFinance and Investment

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》

New Course
Course Code
EP103A
Application Code
1550-EP103A
Study mode
Part-time
Start Date
07 Oct 2017 (Sat)
Next intake(s)
March 2018
Duration
1 month to 2 months
Language
English
Course Fee
$6000 per programme
Apply Now
Deadline on 29 Sep 2017 (Fri)
Enquiries
2520 4612
2858 4750
** Think BIG DATA, think HKUSPACE **
大數據分析和AI技術怎樣影響投資決策?
Learn Big Data, A.I from the expert who has been doing this task for the past 12 years!
Mr. Ken Liu will introduce you to his own developed and public software, big data & AI concepts and hands on computer lab.

The Executive Certificate in Big Data, A.I. and Investing 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. 

AI崛起 數據分析師最吃香 by Skypost

雲鋒推”智能”私銀App by appledaily

Data science jobs in investment banks are the new hot thing....  by efinancialcareers

Artificial Intelligence Effect in Finance  by entrepreneur.com

Machine learning is transforming investment strategies  by CNBC 

The Role of Big Data in Investing  By Goldman Sachs

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

 

 

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.  

Tutor:  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 Credist Suisse as Algo-Trading developer. Ken earned a Master in Computer Science from USC and a Bachelor in Computer Science from University of Warwick.

Application Code 1550-EP103A -

Days / Time
  • Sat - Sun, 1:00pm - 7:00pm
Duration
  • Meet 5 consecutive Saturdays or Sundays. (including computer lab time)
Venue

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: class participation + assignment
Grade:PASS/FAIL

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

Weekends Class schedule (1-7pm):  (M13936, W02239)
October 7, 14, 22 (SUN)
November 5 (SUN), 11

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.

Application Fee

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

Course Fee
  • Course Fee : $6000 per programme

Application Form Download Application Form

Enrolment Method

We provide online application and payment service for students to make enrolment via the Internet. Enrolment will be confirmed once students have made the payment online by using either PPS or credit card.

For first-come, first-served courses:
  1. Complete the online application form
    Click the "Apply Now" button on the top right hand corner of the course webpage to make online application. Follow the instructions to fill-in the online application form.
  2. Make Online Payment
    Pay the course fees by either using
     

    PPS via Internet - You will need a PPS account and a PPS Internet password. For information on how to open a PPS account and how to set up a PPS Internet password, please visit http://www.ppshk.com.

    Credit Card Online Payment - Course fees can be paid by VISA or MasterCard via a secure online payment gateway for all first-come, first-served courses.

For award-bearing programmes:

Selected award-bearing programmes also provide online enrolment and payment service for its students.

If your programme accepts online enrolment and payment, a re-enrolment icon will be shown on the course webpage. Click the icon and follow the instructions to perform online enrolment and payment. You will receive relevant information from the programme team nearer the time of enrolment.

You may click here directly to access the online enrolment and payment service.

Please note the followings:

  1. Admission is on a first-come, first-served basis. Enrolment will be confirmed once you have made the payment online. You will receive a payment confirmation after payment has been made successfully. You are advised to keep your payment confirmation for future enquiries.
  2. Fees paid are not refundable except as statutorily provided or under very exceptional circumstances.
  3. To make an application online, you will need a computer with connection to the Internet and a web browser with JavaScript enabled. Internet Explorer 5.01 or above is recommended as the web browser.

Disclaimer

The School provides a platform for online services for a selected range of products it offers. While every effort is made to ensure timeliness and accuracy of information contained in this website, such information and materials are provided "as is" without express or implied warranty of any kind. In particular, no warranty or assurance regarding non-infringement, security, accuracy, fitness for a purpose or freedom from computer viruses is given in connection with such information and materials.

The School (and its respective employees and subsidiaries) is not liable for any loss or damage in connection with any online payments made by you by reason of (i) any failure, delay, interruption, suspension or restriction of the transmission of any information or message from any payment gateways of the relevant banks and/or third party merchants for processing credit/debit/smart card or other payment facilitation mechanism; (ii) any negligence, mistake, error in or omission from any information or message transmitted from the said payment gateways; (iii) any breakdown, malfunction or failure of those gateways in effecting online payment service or (iv) anything arisen out of or in connection with the said payment gateways, including but not limited to unauthorised access to or alternation of the transmission of data or any unlawful act not permitted by the law.

Payment Method
1. Cash or EPS

Course fees can be paid by cash or EPS at any HKU SPACE enrolment counters.

2. Cheque or bank draft

Course fees can also be paid by crossed cheque or bank draft made payable to “HKU SPACE”. Please specify theprogramme 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 payment sent by mail.
3. VISA/MasterCard

Applicants may also pay the course fee by VISA or MasterCard, including the “HKU SPACE MasterCard”, at anyHKU SPACE enrolment centres. Holders of the HKU SPACE MasterCard can enjoy a 10-month interest-freeinstalment 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

The course fees of all open admission courses (course enrolled on first come, first served basis) and selected award-bearing programmes can be settled by using PPS via the Internet. Applicants may also pay the relevant course fees by VISA or MasterCard online. Please refer to the Online Services page on the School website.

Notes

  1. For general and short courses, applicants may be required to pay the course fee in cash or by EPS, Visa or MasterCard if the course is to start shortly.

  2. 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, cheque or PPS (for online payment only) will normally be reimbursed by a cheque, and fees paid by credit card will normally be reimbursed to the payment cardholder’s credit card account.

  3. 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.
  4. Fees and places on courses cannot be transferred 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 approved transfers.
  5. Receipts will be issued for fees paid but HKU SPACE will not be responsible for any loss of receipt sent by mail.
  6. For additional copies of receipts, please send a stamped, self-addressed envelope with a completed form and a crossed cheque for HK$30 per copy made payable to ‘HKU SPACE’. Such copies will only normally be issued at the end of a course.