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Course Information
Registration period
12 May 2025 (Mon) - 30 Jun 2025 (Mon)
Price
HKD 287,000
(Application Fee
HKD 400
Financial Assistance
Government Student Financial Assistance
Local students are eligible for applying the Extended Non-means Tested Loan Scheme (ENLS). For eligibility and details, please visit the Working Family and Student Financial Assistance Agency's website.
Scholarships
Scholarships might be considered for outstanding students on the basis of academic merit. All students admitted to the programme will automatically be the candidates for the scholarships.)
(Application Fee
HKD 400
Financial Assistance
Government Student Financial Assistance
Local students are eligible for applying the Extended Non-means Tested Loan Scheme (ENLS). For eligibility and details, please visit the Working Family and Student Financial Assistance Agency's website.
Scholarships
Scholarships might be considered for outstanding students on the basis of academic merit. All students admitted to the programme will automatically be the candidates for the scholarships.)
Study Mode
Duration
1 Year(s)
Language
English
Location
-
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Course Overview
Unlike other existing programmes, the Master of Science in Industrial Data Analytics focuses on the skills and methodologies specifically tailored for industrial data analytics. In general, the students enrolled in this programme will gain knowledge of industrial data analytics, data visualization, artificial intelligence, statistics, operations management, control systems, and the Industrial Internet of Things (IIoT).
Uniqueness of the Programme
This programme nurtures graduates with expertise spanning data science, industrial engineering, artificial intelligence, and business analytics. This multidisciplinary approach should significantly improve the employability of graduates in positions such as business analysts, data analysts, data scientists, and consultants/experts.
Graduates gain both general knowledge of industrial data analytics and specialized expertise in specific industrial sectors. This framework boosts the competitiveness of the graduates in the job market.
The programme develops students’ analytical and critical thinking, guiding them to address real-world industrial challenges systematically and comprehensively. This training enhances the leadership of graduates.
The programme serves a wide range of audiences. It will be suitable for professionals from both the private and public sectors who are obliged to collect, process, visualize, and analyze data using edge-cutting methods and tools; for decision-makers and policymakers who need to analyze huge amounts of data to support their decisions and establish effective policies; and for practitioners in various industrial and public utility sectors who seek the effectiveness of the operations and the quality of society.
Mode of Study: Full-time
Medium of Instruction
English
Credits Required
30 credits
Modules Required
5 required courses (15 credits) and 5 elective courses (15 credits)
What You’ll Learn
Programme Curriculum
Required Courses (5 courses, a total of 15 credits)
- CDS542 Data Visualization (3 credits)
- CDS550 Programming with Generative Artificial Intelligence (3 credits)
- CDS552 Smart Connectivity and Fusion (3 credits)
- CDS545 Control Systems and Industrial Analytics (3 credits)
- CDS546 Industrial Data Analytics Project (3 credits)
Elective Courses (Any 5 courses, a total of 15 credits)
- CDS521 Foundation of Artificial Intelligence (3 credits)
- CDS525 Practical Application of Deep Learning (3 credits)
- CDS527 Big Data Analytics (3 credits)
- CDS528 Blockchain (3 credits)
- CDS530 Healthcare Analytics (3 credits)
- CDS533 Statistics for Data Science (3 credits)
- CDS534 Database Management (3 credits)
- CDS547 Introduction to Large Language Models (3 credits)
- CDS554 Smart Logistics (3 credits)
- CDS549 Operational Research (3 credits)
- CDS562 Urban Data Science and Analytics (3 credits)
