Bachelor of Science (Honours) in Data Science and Artificial Intelligence - Full-time
Bachelor of Science (Honours) in Data Science and Artificial Intelligence - Full-time
Programme Code
84090-DA (Full-time)
Medium of Instruction
English (except for subjects with Chinese requirements)
Tuition Fee
Normal Duration
2 years
Academic Division
Division of Science, Engineering and Health Studies
Remarks
This is a revamped and retitled programme with effect from 2025/26 intake. The original programme title was Bachelor of Science (Honours) in Applied Sciences (Statistics and Data Science).
Students and Alumni Stories
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
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BSc (Hons) in Statistics and Data Science |
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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
Programme Structure
Students are required to complete the following requirements with satisfactory results for an honours degree:
| Requirements | Minimum Credits | |
|---|---|---|
| General University Requirements (GUR) Note1 | 9 | |
| Cluster Area Requirements (CAR) | 2 subjects, 3 credits each | 6 |
| Service-Learning (SL) | 1 subject, 3 credits | 3 |
| Essential Components of General Education (non-credit bearing) | - | N/A |
| Discipline-Specific Requirements (DSR) Note2 (Please refer to the table below for details) | 51 – 60 | |
| Foundation | Up to 4 subjects, 1 non-credit-bearing; 3 credits each for others (for students from unrelated disciplines only) | 0 – 9 |
| Scheme Compulsory | 6 subjects, 3 credits each | 18 |
| Award-Specific Compulsory | 8 subjects, 3 credits each | 24 |
| Elective | 3 subjects, 3 credits each | 9 |
| Work-Integrated Education (WIE) Note3 | ||
| 300 hours of work-based learning experience | N/A | |
| Total | 60 – 78 | |
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
Entrance Requirements
Holder of a recognised Associate Degree, Higher Diploma or an equivalent qualification in related disciplines. Applicants from unrelated disciplines will also be considered and, if admitted, are required to take appropriate foundation subject(s).
Notes:
An applicant who is not a native speaker of English, and does not possess an Associate Degree or a Higher Diploma or an equivalent qualification for which English was the primary medium of instruction, is expected to fulfil the following minimum English language requirements:
i) An overall Band Score of 6.0 in the International English Language Testing System (IELTS); OR
ii) A Test of English as a Foreign Language (TOEFL) score of 80 for the Internet-based test / 550 for the paper-based test; OR
iii) Satisfactory results in other recognised English language assessments
Individual cases may be considered on their own merit, and applicants concerned may be required to take an additional 3-credit Adjunct English subject upon admission.
- An applicant who does not possess the above-mentioned qualification but has reached the age of 25 before 1 September, in the academic year in which he/she seeks admission, may apply as a mature applicant. He/she must demonstrate sufficient motivation, knowledge and potential to indicate a high probability of being able to complete the programme successfully. In addition, he/she may be required to take appropriate foundation subject(s).
- Applicants should have prior knowledge in linear algebra.
