Course Information
(Total Tuition Fees $187,200 – $215,280)
Course Overview
Programme Features
- Nurtures data science and AI talents
- You will acquire knowledge of a range of data management, data analytics, and AI tools, including Python, R, SQL Server, Tableau, Microsoft Power BI, TensorFlow, and PyTorch
- You will be well prepared for career development through professional exam preparation workshops. Some students in the past obtained the credentials from SAS and Microsoft before graduation
- Opportunities to participate in data analytics and AI-related internships. Past students have undergone internship training in companies such as PCCW Solutions, ICO Limited, lpsos and Nielsen
- You will be able to learn predictive analytics, machine learning, data visualisation, and AI cutting-edge technologies, such as large language model, computer vision and deep learning
- Offers an interdisciplinary curriculum with a selection of subjects emphasising applications of AI in computer science, finance and health informatics
Future Prospects
Career Prospect
- Graduates are able to pursue a wide range of careers, including Data Scientist, LLM Engineer, AI Engineer, Data Engineer, Data Analyst, Machine Learning Engineer, Data Management Specialist and Statistical Analyst
- The average starting salary of graduates was around HK$19,560 in 2024
* Source: PolyU SPEED Graduate Employment Survey
Further Study Opportunities
- Past graduates have pursued postgraduate studies in famous local and overseas universities, such as The Hong Kong Polytechnic University, The Hong Kong Baptist University
What You’ll Learn
Programme Structure
Students are required to complete the following requirements with satisfactory results for an honours degree:
Discipline-Specific Requirements (DSR)
Scheme Compulsory (all 6 subjects)
- Business Communication in Chinese
- Effective Professional Communication in English
- Integrated Study
- Management of Innovation and Technology
- Professional Ethics and Social Responsibilities
- Research Methodology in Applied Sciences
Foundation (for students from unrelated disciplines only)
- Calculus
- Data Science with Programming
- Foundations of Data Science
- Statistical Data Analysis (non-credit-bearing)
Award-Specific Compulsory (all 8 subjects)
- Predictive Modeling
- Artificial Intelligence
- Programming for AI Applications
- Large Language Models and Natural Language Processing
- Deep Learning
- Machine Learning for Data Mining
- Big Data and Cloud Analytics
- Data Visualisation and Analytics
Elective# (any 3 subjects)
- Financial Forecasting
- FinTech and Blockchain
- Marketing Technologies
- Computational Approaches to Language Analysis
- Web Systems and Technologies
- Social Network Data Analysis
- Decision Analysis with Python
- Health Informatics and Healthcare 4.0
- Survey Design and Analytics
- Computer Vision and Image Analysis
- Operations Research Methods
- Simulation Models for Business
- Public Health and Epidemiology
#Offering of any elective subjects is subject to sufficient enrolment.
Skills covered in this course
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