Course No.
261-212300-01
Course Type
Part-time
Start Date
14 April 2026
Total Hours
90 Hours (around 8-9 months)
現正接受報名
現正接受報名
Course Detail
Continuing Education Fund (CEF)
-
Schedule
Tuesday -
Time
6:45pm - 9:45pm (one lesson per week) -
Venue
Central Learning Centre -
Level
Certificate programmes -
QF Level
3 -
QR Registration No.
18/000239/L3 -
QR Registration Validity Period
21/03/2018 - Ongoing -
Application Fee
HK$150 -
Tuition Fee
HK$21,900 -
Language Used
Cantonese (supplemented with English) -
Closing Date for Application
13 March 2026 -
Course Enquiries
-
Enrolment Enquiries
Admission Requirement
Applicants shall have basic knowledge of database* and computer programming+, and
1. completion of secondary education, or equivalent; or
2. aged 21 or above.
Remark:
* database such as Access, MySQL, etc
+ computer programming such as Python, Java, etc.
Objectives
This programme is targeted for participants who are interested to learn how to extract and analyze data to obtain valuable information and knowledge by using the popular data mining and machine learning algorithms. While theoretical and mathematical knowledge will also be introduced, the programme will focus on real-life applications of readily available data mining and machine learning techniques and algorithms to help participants to apply the knowledge at their own context. Common data mining tools such as R and Python will be used for the students to do hands-on practices. Ethical and privacy issues will also be discussed.
Content
1. Introduction to Data Mining (30hr)
Data are collected everywhere now with advancement in technology, and how to effectively identify patterns and useful information in such data is essential for learning, forecasting and knowledge discovery purposes. The course will provide opportunities for students to learn the basic concepts of data mining and how to discover useful information in daily-life context.
2. Machine Learning Algorithms (30hr)
Machine learning is one of the fastest-growing and exciting areas with wide range of possible applications. In this course, the participants will develop a clear understanding of the motivation for machine learning, and design small-scale intelligent systems that can learn from complex and or large-scale datasets.
3. Applications of Data Mining and Machine Learning (30hr)
This course will help participants to apply data mining and machine learning techniques to practical applications such as stock forecasting, social media marketing and scientific applications.
Data are collected everywhere now with advancement in technology, and how to effectively identify patterns and useful information in such data is essential for learning, forecasting and knowledge discovery purposes. The course will provide opportunities for students to learn the basic concepts of data mining and how to discover useful information in daily-life context.
2. Machine Learning Algorithms (30hr)
Machine learning is one of the fastest-growing and exciting areas with wide range of possible applications. In this course, the participants will develop a clear understanding of the motivation for machine learning, and design small-scale intelligent systems that can learn from complex and or large-scale datasets.
3. Applications of Data Mining and Machine Learning (30hr)
This course will help participants to apply data mining and machine learning techniques to practical applications such as stock forecasting, social media marketing and scientific applications.
Assessment
Assignment, Case Studies, Project and Final Exam.
Award of Certificate
To qualify for the award of 'Certificate Programme in Data Mining and Machine Learning', students are required to have an attendance rate of 70% or above in each course and have passed the assessments of each course.
Continuing Education Fund
This course has been included in the list of reimbursable courses under the Continuing Education Fund. This course is recognised under the Qualifications Framework (QF Level 3).
Course Code: 34C121177
CEF Course Name : Certificate in Data Mining and Machine Learning
Course Code: 34C121177
CEF Course Name : Certificate in Data Mining and Machine Learning
Application Procedure
A. Online enrollment:
Please submit your application via online enrollment system (click "Online Enrolment" button at programme webpage). Upon the completion of online enrollment (including "Computer Knowledge and Other Skills" field), please email copies of the supporting documents to scs-it@cuhk.edu.hk:
• Copies of academic qualifications (e.g. award certificate / final transcript);
• Copies of proof of working experience, if applicable (e.g. reference letter or employment letter).
B. Enrollment by paper form:
Applicants are required to submit the following documents:
• A duly completed "Enrolment Form for Certificate and Diploma/Professional Programmes" (please include the "Computer Knowledge and Other Skills" field);
• Copies of academic qualifications (e.g. award certificate / final transcript);
• Copies of proof of working experience, if applicable (e.g. reference letter or employment letter);
• Application Fee of $150 (please refer to "Part B - Methods of Payment" listed in the Enrollment Form).
Please submit to the enrolment form and supporting documents to any one of our School's Enrolment Centres in-person; OR post to the Programme Team at:
17/F, Oriental Centre, 67 Chatham Road South,
Tsim Sha Tsui, Kowloon, Hong Kong
(Attn: Information Technology Programme Team - Application of Certificate Programme in Data Mining and Machine Learning)
Admission will be assessed on a first-come-first served basis for qualified applicants. Thus, early enrollment is encouraged.
Please submit your application via online enrollment system (click "Online Enrolment" button at programme webpage). Upon the completion of online enrollment (including "Computer Knowledge and Other Skills" field), please email copies of the supporting documents to scs-it@cuhk.edu.hk:
• Copies of academic qualifications (e.g. award certificate / final transcript);
• Copies of proof of working experience, if applicable (e.g. reference letter or employment letter).
B. Enrollment by paper form:
Applicants are required to submit the following documents:
• A duly completed "Enrolment Form for Certificate and Diploma/Professional Programmes" (please include the "Computer Knowledge and Other Skills" field);
• Copies of academic qualifications (e.g. award certificate / final transcript);
• Copies of proof of working experience, if applicable (e.g. reference letter or employment letter);
• Application Fee of $150 (please refer to "Part B - Methods of Payment" listed in the Enrollment Form).
Please submit to the enrolment form and supporting documents to any one of our School's Enrolment Centres in-person; OR post to the Programme Team at:
17/F, Oriental Centre, 67 Chatham Road South,
Tsim Sha Tsui, Kowloon, Hong Kong
(Attn: Information Technology Programme Team - Application of Certificate Programme in Data Mining and Machine Learning)
Admission will be assessed on a first-come-first served basis for qualified applicants. Thus, early enrollment is encouraged.