Executive Certificate in Text Analytics and NLP with Financial Technology - HKU SPACE: FinTech and Financial Intelligence courses
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Executive Certificate in Text Analytics and NLP with Financial Technology

Course Code
Application Code
Study mode
Start Date
12 Jun 2021 (Sat)
Next intake(s)
Aug 2021
2 months to 3 months
Course Fee
How to Apply
Deadline on 28 May 2021 (Fri)
2867 8331
2861 0278
Accept new application for August intake! To learn how to use Text Analytics and NLP to analyze textual data practically, welcome to enroll this programme! There will be practical classes in computer laboratory.

The programme aims to cover the latest applications of financial technology by using text analytics and natural language processing (NLP). It provides students with a foundation in collecting, processing, managing and analyzing textual data using computational tools. It discusses the use of NLP, text analytics and machine intelligence. The programme also offers summarization and visualization of results obtained from text analytics and NLP for applications in finance.

On completion of the programme, students should be able to
1. identify the main elements of text analytics and natural language processing;
2. examine techniques of text analytics and natural language processing;
3. apply machine intelligence to analyze and visualize textual data using computation tools;
4. discuss the latest applications of text analytics and natural language processing in financial technology.




(1) Ms. Rowena Lai
Ms Lai is a practitioner in Business and Data Analytics. With a Bachelor of Science (Major in Mathematics and Minor in Economics) from The Chinese University of Hong Kong, two Master of Science degrees in both International Shipping and Transport Logistics as well as Global Supply Chain Management from The Hong Kong Polytechnic University, she has worked with different industries on business analytics area.  Ms Lai is currently working in a leading banking and leading various data analytics projects.  She has also worked in an airline industry leader, and shipping industry on Revenue Management and Business Analytics. Thanks to her strong business and analytical sense together with her extended working exposure, she would like to share her academic knowledge and practical experience in Data Science and Analytics. 
(2) Mr. Clive Yip
Mr. Yip is a practitioner in Data Analytics.  He has 10 years of experience in both Big 4 consulting firms and multinational companies.  He is currently working as a Senior Data Analytics Consultant in a leading insurance company, using Python, SQL and other Big Data technologies to analyse and monitor any non-compliance or fraudulent activities.  He has a Master’s degree in Information Technology from HKUST and a Bachelor’s degree from the University of Southern California.  Before entering the data analytics field, he worked as a financial auditor in Ernst and Young and is a Certified Public Accountant (CPA) in Hong Kong and Canada.
Application Code 1890EP163A -

Days / Time
  • Saturday, 1:00pm - 7:00pm

Introduction to Text Analytics and Natural Language Processing (NLP)

  • Technological overview of text analytics and NLP in finance and investment: text mining, web mining, data mining, information retrieval and NLP
  • Principles of text analytics
    • Key elements of text analytics
    • Textual data wrangling: collecting, importing, organizing and cleaning textual data
    • Text mining and text analytics: web scraping, textual corpora, text processing, tokenization, stemming and stop word removal
  • Essential of natural language processing (NLP)
    • Core elements of NLP
    • Lexical parsing, syntax parsing, semantic parsing 
    • NLP and computational linguistics


Machine Intelligence, Text Analytics and NLP in Financial Technology

  • Development of machine intelligence in financial technology: AI, Machine Learning and Deep Learning
  • Introduction to computation tools for text analytics and NLP: R, Python, Tensorflow, Pytorch
  • Basic algorithms from deep learning: linear regressions, SVM
  • Introduction to Neural Network for Text Analytics and NLP: Convolution Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Generative Adversarial Network (GAN)
  • Techniques for text analytics and NLP: bag-of-words, word weighting schemes, document classification, document clustering, sentiment analysis and model building


Text Analytics and NLP in Financial Decision Making

  • Real-world financial information and textual datasets
    • Financial texts from corporate disclosures, financial reports, professional periodicals, aggregated news, message boards and social media
    • Summarization of textual data and information
    • Display and visualization of results: word cloud
    • Financial intelligence from analyzed textual data
  • Applications and Issues of text analytics and NLP for financial decision making
    • Statistical and cultural bias in datasets
    • Financial slang and NLP for sentiment analysis
    • Analysis of financial textual data
    • NLP and deep learning for predicting stock price movements
    • Semantic model building for financial forecasting
    • Credit risk analysis using text analytics
    • Implications and limitations of text analytics and NLP in making finance and investment decision
    • Improving financial services with NLP

Assessment method:  Two assignments 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.


June 2021 intake 

Lecture Date Time
1 12 Jun 21 (Sat) 13:00 - 19:00
2 19 Jun 21 (Sat) 13:00 - 19:00

26 Jun 21 (Sat)

13:00 - 19:00
4 3 Jul 21 (Sat) 13:00 - 19:00
5 10 Jul 21 (Sat) 13:00 - 19:00

Remarks :
-Tentative timetable is subject to change and course commencement is subject to sufficient enrollment numbers.
-For your safety and health, please note that the School may substitute face-to-face classes with online teaching if necessary.

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

Applicants with qualifications in quantitative areas (e.g., mathematics, engineering, statistics, computer science, information technology, economics, finance) are preferred. Those with other qualifications and substantial senior level work experience will be considered on individual merit.

Application Fee

HK$150 (Non-refundable)

Course Fee
  • Course Fee : HK$9000 (Course fees are subject to change without prior notice)
  • Early Bird Rate : HK$8500 (Early-Bird discounted fee for enrolment on/before 28 May 21)
  • Alumni Rate : HK$8500 (Alumni from EDEC in Big Data and FinTech Programme Series)

Application Form Download 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”.

    *HKU SPACE MasterCard cardholders who wish to enjoy 10-month interest free instalment scheme must pay  their tuition fees in person at any our HKU SPACE Enrolment Centres.

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

  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

A. 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.
B. Online

Selected programmes offer online continuing enrolment service. Programme staff will inform students if they offer this service and offer further enrolment details.

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.


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, EPS  or WeChat Pay

Course fees can be paid by cash, EPS or WeChat Pay 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 the 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 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

The course fees of all open admission courses (courses 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 for details.


  • For general and short courses, applicants may be required to pay the course fee in cash or by EPS, WeChat Pay, Visa or MasterCard if the course is to start shortly.
  • 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, 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.
  • 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.
  • Receipts will be issued for fees paid but HKU SPACE will not be repsonsible for any loss of receipt sent by mail.
  • For additional 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.