Executive Certificate in Applied AI and Predictive Analytics for Business - HKU SPACE: FinTech and Financial Intelligence courses
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Executive Certificate in Applied AI and Predictive Analytics for Business
行政人員證書《應用人工智能與商業預測分析》

Course Code
EP137A
Application Code
1760-EP137A
Study mode
Part-time
Start Date
09 Dec 2019 (Mon)
Next intake(s)
March 2019
Duration
1 month to 2 months
Language
English
Course Fee
HK$7000
Apply Now
Deadline on 25 Nov 2019 (Mon)
Enquiries
2867 8331 / 25204612
2858 4750
Accept new application for December intake!

AI and Machine Learning are hot topics in the globe. The applications of AI become more and more popular. At the same time, Predictive Analytics is useful for exploring potential trend and performing business forecast. Welcome to learn the latest development in AI and Predictive Analytics from market practitioner by enrolling the programme!

This programme provides students with the practical knowledge of Artificial Intelligence (AI) as well as discuss the application of Predictive Analytics for Business. Moreover, the programme covers the handling of data for data analysis, data visualization, development of AI and forecasting techniques from the business perspectives. Apart from applying the knowledge to solve problems in their workplace, students may consider further their studies in Big Data, Data Analytics, Data Science, AI, FinTech and Quantitative Analysis in future.

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Hong Kong Internet & eCommerce Association 

Students under this programme are eligible to apply free membership for Hong Kong Internet and Ecommerce Association (HKIEA).

The association offers talks, workshops and/or seminars related to the Internet and Ecommerce as well as Big Data.

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

  1. describe the data preparation and applications of Big Data for data analysis;
  2. use statistical methods to analyze and visualize business and financial data;
  3. identify the concepts and framework of AI;
  4. apply regression, forecasting and simulation for facilitating prediction and decision making; and
  5. examine applications of AI and predictive analytics to solve business and financial problems.

 

Tutor bio

(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) Mr. Cyrus Tsui, have 10+ years of banking experience in both Hong Kong and London, specialize in valuation, PnL and Risk. Fluent in English, Mandarin and Cantonese. In-depth understanding of complex financial products with programming ability, strong communication skill and solid experience in stakeholder management.

(3) Mr. Alan Cheung, PRM, CQF, has solid experience in fintech in top tier investment banks, versed in architecting low latency, high frequency algorithmic trading systems. He is currently a Quantitative Strategist on the Equities Desk in Bank of America Merrill Lynch. Alan has a Masters in Mathematical & Computational Finance from the University of Oxford after graduating with First Class Honours in Mathematics with Statistics for Finance from Imperial College London.

(4) Mr. Jong Hang, currently working at the Bank of America Merrill Lynch in Hong Kong responsible for the Client Management analytics. Prior to that, he has worked in Singapore for 6 years using Big Data and Data Science to help business and government organizations to mine insights from data. He has completed various Data Science projects in Europe, United States and Asia. Jong Hang was also a Cloudera Authorized Trainer from 2012 to 2015. He has taught Cloudera Big Data courses such as Hadoop Administration, Hadoop Developer, Hive, Pig. Jong Hang is also an active learner on Coursera and edX MOOC who has completed more than 50 courses in Data Science, Artificial Intelligence, Mathematics and Statistics, Engineering.

Application Code 1760-EP137A Apply Online Now
Apply Online Now

Days / Time
  • Mon, Wed, 7:00pm - 10:00pm
Venue
  • Hong Kong Island Campus
  • Kowloon East Campus

Course Content: 

(1) Data preparation and Data Analysis

  • Data preprocessing, data cleaning and data transformation
  • Processing techniques over Cloud for business and financial data
  • Applications of data analysis for business and financial data

 

(2) Statistical Analysis and Data Visualization

  • Introduction to Statistical Analysis
  • Data Visualization for business and financial decision making

 

(3) Applications of Artificial Intelligence (AI) and Predictive Analytics

  • Development of AI
  • Introduction to machine learning, deep learning and reinforcement learning
  • Chatbot and Natural Language Processing for business and finance
  • Introduction to Data Mining
  • Clustering and Pattern Recognition
  • Trendlines and Regression Analysis for forecasting
  • Business applications of AI and Predictive Analytics

Assessment method: In-class exercise + group presentation

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

Timetable 

December 2019 intake (M24306)

Lecture Date Time
1 9 Dec 19 (Mon) 19:00 - 22:00
2 11 Dec 19 (Web) 19:00 - 22:00
3 16 Dec 19 (Mon) 19:00 - 22:00
4 18 Dec 19 (Web) 19:00 - 22:00
5 6 Jan 20 (Mon) 19:00 - 22:00
6 8 Jan 20 (Web) 19:00 - 22:00
7 13 Jan 20 (Mon) 19:00 - 22:00
8 15 Jan 20 (Web) 19:00 - 22:00
9 20 Jan 20 (Mon) 19:00 - 22:00
10 22 Jan 20 (Web) 19:00 - 22:00

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

.

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

Application Fee

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

Course Fee
  • Course Fee : HK$7000 (course fees are subject to change without prior notice)

Online Application Apply Now

Application FormDownload Application Form
Application Form

Enrolment Method

HKU SPACE provides 24-hour online application and payment service for students to make enrolment for most open admission courses (courses enrolled on first come, first served basis) and selected award-bearing programmes via the Internet.  Applicants may settle the payment by using either PPS, VISA or Mastercard online.

  1. Complete the online application form

    Applicant may click the icon Apply Now on the top right hand corner of the programme/course webpage to make online application, and then follow the instructions to fill in the online application form.

    Some programmes/courses may be admitted by selection, and may require applicants to provide electronic copy of any required documents (e.g. proof of qualification) as indicated on the programme/course webpage.  Only file format in doc, docx, jpg and pdf are supported. 

  2. Make Online Payment

    Pay the programme/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 including the “HKU SPACE Mastercard”.

To know more about online enrolment and payment, please refer to the user guide of Online Enrolment and Payment:

 

In Person / Mail

For first time enrolment

Applicants must provide all the required information on the application form and any additional information as required after the intial application assessment. Otherwise the School may not be able to process the admission/enrolment further.

  1. For first come, first served short courses, complete the Application for Enrolment Form SF26 and bring or post the completed form(s), together with the appropriate application/course fee(s) and any required supporting documents to any of the HKU SPACE enrolment centres.  
  2. Award-bearing and professional courses may require other information. Forms are usually available at the enrolment centres or on request from programme staff. Bring or post the completed form(s), together with the appropriate application/course fee(s) and any required supporting documents to any of the HKU SPACE enrolment centres.

For continuing enrolment in the same course

In person or by post
  1. The standard ‘Enrolment/Payment Slip’ is designed for students of award-bearing programmes or remaining programmes in a suite of programmes requiring continuing enrolment and it applies to most programmes.
  2. Students should complete the “Enrolment/Payment Slip” which will be made available by relevant programme staff and return the slip to any HKU SPACE enrolment centre or post it to the relevant programme staff with appropriate fee payment.

If you are in doubt about the procedures, please check the individual course details, or contact our programme staff or enrolment centres. 

Please note the followings for programme/course enrollment:

  1. 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 for the web browser.
  2. Applicants should not leave the online application idle for more than 10 minutes.  Otherwise, applicants must restart the application process.
  3. Only S-MILES and Early Bird Discount are supported in Online Applicants (Application).  To enjoy other types of discount, please visit one of our enrolment centres.
  4. During the online application process, asynchronous application and payment submission may occur.  Successful payment may not guarantee successful application.  In case of unsuccessful submission, our programme staff will contact you shortly.
  5. Applicants are reminded that they should only apply for the same programme/course once through counter or online application.
  6. For online enrolment, payment confirmation page would be displayed after payment has been made successfully.  In addition, a confirmation email would also be sent to your email account.  You are advised to keep your payment confirmation for future enquiries.
  7. Fees paid are not refundable except as statutorily provided or under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment).
  8. If admission is by selection, the official receipt is not a guarantee that your application has been accepted.  We will inform you of the result as soon as possible after the closing date for application.  Unsuccessful applicants will be given a refund of programme/course fee if already paid.

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

Cash or EPS are accepted 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 write the programme title(s)  and the applicant’s name on the back of the cheque. You may either:

  • in person by submitting the payment, completed form(s), and required supporting documents to any of our enrolment centres; or
  • by mailing the above documents to any of our enrolment centres, specifying “Course Application” on the envelope. 
3. VISA/MasterCard

Course applicants, who are holders of HKU SPACE Mastercard, can enjoy a 10-month interest-free instalment period for courses of HK$2,000 and over. For enquiries, please contact our enrolment centres.

4. Online payment

Online payment for short courses (first come, first served) and selected award-bearing programmes is available using PPS, VISA or Mastercard. 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 online PPS will be reimbursed by a cheque; fees paid by credit card will be reimbursed to credit card account used for payment.
  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 teams for details.
  4. Fees and places on courses are not transferrable. 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.
  5. HKU SPACE will not be responsible for any loss of payment, receipt, or personal information sent by mail.
  6. For additional copies of receipts, 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. Such copies will normally be issued at the end of a course.