Bachelor of Science (Honours) in Applied Sciences (Statistics and Data Science) - Full-time
Bachelor of Science (Honours) in Applied Sciences (Statistics and Data Science) - Full-time
Programme Code
84048-SC (Full-time)
Medium of Instruction
English (except for subjects with Chinese requirements)
Commencement Date
04 Sep 2023
Normal Duration
2 years
Tuition Fee (Local students)
HK$2,755/ credit
Tuition Fee (Non-local students)
HK$3,035/ credit
Academic Division
Division of Science, Engineering and Health Studies
Students and Alumni Stories
Programme Features
- Nurtures data analytics talents
- You will acquire knowledge of a range of data management and data analytics software, including SAS, Python, R, Microsoft Excel (VBA), Tableau, Microsoft Power Bl, and SQL Server
- You will be well prepared for career development through professional exam preparation workshops. Some students in the past obtained the credentials of SAS before graduation
- Opportunities to participate in internships. Past students have undergone training at PCCW Solutions, ICO Limited, lpsos and Nielsen
- You can select your elective subjects across multiple areas, e.g. A.I., Web Application Development and Management, and FinTech & Blockchain
Professional Recognition
Students can join the Hong Kong College of Community Health Practitioners (HKCCHP) as student members, and, upon graduation, can advance to the Associate Fellowship (AFHKCCHP) status.
Students are also eligible for exemption from Modules 1, 2, 3 and 5 of the Hong Kong Statistical Society's Graduate Diploma if they have completed the required specific subjects with satisfactory results.
Future Prospects
Career Prospect
- Graduates are able to pursue a wide range of careers, including Business Research Analyst, Data Analyst, Data Management Specialist and Statistical Analyst
- The average starting salary of graduates is around HK$16,900 in 2021
* 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) OR Free Elective | 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 (Applied Sciences)
- Management of Technology, Innovation and Entrepreneurship
- Professional Ethics and Social Responsibilities
- Research Methodology in Applied Sciences
Foundation (for students from unrelated disciplines only)
- Calculus
- Computer Programming Concepts
- Inferential Statistics (non-credit-bearing)
- Statistical Data Analysis
Award-Specific Compulsory (all 8 subjects)
- Big Data Analytics
- Data Structures and Algorithms
- Data Visualization in Survey Sampling
- Database Technologies and Management
- Decision Analysis with Python
- Forecasting and Applied Time Series Analysis
- Machine Learning for Data Mining
- Predictive Modeling
Elective# (any 3 subjects)
- Applied Probability Models
- Artificial Intelligence
- Computer Network Administration
- Computer Security
- Financial Management for Non-finance Specialists
- Operations Research Methods
- FinTech and Blockchain
- Simulation Models for Business
- Statistical Inference
- Web Application Development and Management
- Web Systems and Technologies
Offering of any elective subjects is subject to sufficient enrolment.
This course has been included in the list of reimbursable courses under the Continuing Education Fund. The mother course [Bachelor of Science in Applied Sciences (Statistics and Data Science)] of this module is recognised under the Qualifications Framework (QF Level 5).
Notes
1. Students who have not met the equivalent standard of undergraduate degree Language and Communication Requirements (LCR) under GUR are required to take up to 9 additional credits in LCR (2 subjects in English & 1 subject in Chinese, 3 credits each). They will be advised if they are required to take LCR subjects on admission.
2. Students from unrelated disciplines (i.e. holders of Associate Degree or equivalent qualification not in Statistics and Data Science) with good academic results may also be considered for admission to this programme. These students will be required to take up to 4 foundation subjects. Applicant should have prior knowledge in linear algebra as well.
3. Relevant work experience accumulated during or after sub-degree studies may be considered for fulfilment of WIE. Students will be invited to submit application for consideration after programme commencement.
Entrance Requirements
Holder of a recognised Associate Degree, Higher Diploma or 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:
- The main medium of instruction of the study programme concerned should be English. An applicant who has completed the programme with other languages as the main medium of instruction should attain the following English Language requirement: IELTS 6.0 or TOEFL 550 (paper based)/80 (Internet based).
- An applicant who does not possess the above-mentioned qualification but has reached the age of 25 before 1 September, in the year in which he/she seeks admission, may apply as a mature applicant. A mature applicant should possess relevant work experience in senior positions and is expected to have completed some post-secondary studies in related fields. He/She will also be required to pass an admission test and demonstrate to the Admission Interview Panel his/her ability to complete the programme. In addition, he/she may be required to take appropriate foundation subject(s).
- Applicants should have prior knowledge in linear algebra.
Enquiries
3746 0900