Bachelor of Science (Honours) in Data Science and Analytics
Sept 2019 EntryProgramme code: 63425
Duration and Credit Requirement
Normally 64 credits depending on the student's entry qualification
(plus 2 training credits of Work-Integrated Education)
Dr Raymond Sze
BSc, MPhil, PhD
Deputy Programme Leader
Dr Jiang Binyan
Assistant Programme Leaders
Dr Leung Chun Sing
BSc, BEng, MPhil, PhD
Dr Allen Tai
BSc, MPhil, PhD
- The credit requirements of this programme are indicative only and subject to review.
- The exact study duration and number of credits to be transferred will depend on the entry qualifications of individual AD/HD admittees.
- To give recognition to outstanding non-JUPAS admittees, the Department sets up a one-off entrance scholarship for non-JUPAS applicants. Please find the details here.
Date: 25 January 2019 (Friday)
Time: 6:30pm - 7:30pm
- Venue: Room P116, PolyU
Aims and Characteristics
The programme is concerned with turning large scale data into intelligence through the application of cutting-edge techniques in mathematics, statistics and computer science. The aim is to produce graduates with expertise that cuts across the core disciplines of mathematics, statistics and computer science. The programme emphasises the critical arc that runs from data to information, information to knowledge, and knowledge to decision making.
Our articulation programme is focused on the acquisition of analytical skills based on mathematics, statistics and computing, and their application to the management and analysis of data, as well as to the discovery of lawfulness from very large data sets or systems, now generally referred to as Big Data. Upon successful completion of the programme, students should be able to manage massive datasets and help to make appropriate decisions in whatever careers they pursue.
Students must complete all of the Discipline-Specific Requirement (DSR) and General University Requirement (GUR) subjects to fulfil the credit requirement for graduation, except those who are given credit transfers due to their prior study.
(A) The DSR subjects comprise Core Subjects and Elective Subjects as listed below.
Core Subjects* (At least 16 subjects with total 49 credits)
- Big Data Analytics
- Business Intelligence and Customer Relationship Management
- Capstone Project
- Data Mining and Data Warehousing
- Database Systems
- Decision Analysis
- English for Technical Project Writing
- Forecasting and Applied Time Series Analysis
- High Dimensional Data Analysis
- Mathematical Methods for Data Science
- Probability & Distribution
- Professional Communication in Chinese for Data Science
- Programming for Data Science
- Statistical Modeling for Discovery
- Statistics for Data Science
* Zero-credit subjects - Admitted students with insufficient background in mathematics and/or programming are required to pass the zero-credit subject(s) Calculus and Linear Algebra, Principles of Programming or their equivalents.
Elective Subjects (At least 2 subjects with total 6 credits)
- Applied Probability Models for Investment
- Computational Methods
- E-commerce Technology and Applications
- Environmental Impact and Assessment
- Financial Computations and Programming
- Information Systems Audit and Control
- Medical Informatics
- Operations Research Method
- Optimization Methods
- Urban Planning (Workshops)
- Web Application Design and Development
(B) GUR Subjects# (9 credits)
The GUR subjects comprise 6 credits of Cluster-Area Requirement (CAR) subjects and 3 credits of Service Learning (SL) subjects.
# Extra credit bearing subject - Students not meeting the equivalent standard of the Undergraduate Degree Language Communication Requirements (LCR) based on their previous academic performance in AD/HD programmes will be required to take additional credits (English and/or Chinese) on top of the programme's normal credit requirement.
(C) Work-Integrated Education (2 training credits)
Students are required to spend a minimum of three weeks or 120 hours working in firms either during summer vacation or as part-timers. Discipline-related summer placements may be found in Hong Kong, the Chinese Mainland or overseas. These, and other forms of work experience, can be counted towards the WIE requirement, subject to the approval of the department.
Upon the completion of programme, graduates are expected to receive partial exemption from the professional assessment of:
- Hong Kong Statistical Society (HKSS)
- Royal Statistical Society of UK (RSS)
Recognition and Prospects
The BSc(Hons) in Data Science and Analytics programme is designed to develop students’ analytical, critical thinking, problem-solving and communication skills, which enables them to pursue a variety of careers in areas such as finance, telecoms, information technology, market research, manufacturing and pharmaceuticals. Graduates can also pursue further studies in postgraduate programmes locally or overseas.
An Associate Degree or a Higher Diploma in IT, Statistics, Engineering, Science or Business from The Hong Kong Polytechnic University, or similar qualifications from other institutions or the equivalent.
Suitable applicants will be invited to interviews, which aim to evaluate the potential for and interest of applicants in the programme, and to test their communication skills and general knowledge relevant to the programme.
For further programme information, please contact:
The General Office (tel: 2766 6946/2766 6948; email: firstname.lastname@example.org)
Dr Raymond Sze (tel: 2766 5642; email: email@example.com)
Dr Jiang Binyan (tel: 2766 6349; email: firstname.lastname@example.org)
Dr Leung Chun Sing (tel: 3400 3905; email: email@example.com)
Dr Allen Tai (tel: 2766 4694; email: firstname.lastname@example.org)
Additional Documents Required
Transcript / Certificate