Sept 2024 Entry
2 years
Normally 70 credits depending on the student's entry qualification
(plus 2 training credits of Work-Integrated Education)
For more programme information, please visit www.polyu.edu.hk/ama/study/ug/senior-year/dsa/.
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 entry scholarship for non-JUPAS applicants. Please find the details here, which is subject to change and will be announced on this website in due course.
Programme Aims
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.
Characteristics
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.
Career 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 IT, retail, urban planning, healthcare, marketing and research, consultancy, government and public utilities. Graduates can also pursue further studies in postgraduate programmes locally or overseas.
Professional Recognition
On the completion of programme, graduates are expected to receive partial exemption from the professional assessment of:
-
Hong Kong Statistical Society
-
Royal Statistical Society of the UK
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) DSR subjects
It comprises Compulsory Subjects and Elective Subjects as listed below:
Compulsory Subjects* (At least 13 subjects with total 40 credits)
- Big Data Analytics
- Capstone Project
- Data Mining and Data Warehousing
- Decision Analysis
- Further Mathematical Methods
- High Dimensional Data Analysis
- Operations Research Methods
- Optimization Methods
- Professional Communication in Chinese for Applied Science
- Professional English for Data Science and Analytics Students
- Programming for Data Science
- Statistical Inference
- Statistical Machine Learning
*Admitted students with insufficient background in mathematics, statistics or/and computer programming are required to pass the underpinning subject(s) Applied Linear Models / Data Analytics and Visualization / Data Structures / Database Systems / Introduction to Statistics / Multivariable Calculus / Principles of Programming / Probability & Distributions, or the equivalent.
Elective Subjects (At least 7 subjects with total 21 credits)
- Artificial Intelligence
- Business Intelligence and Customer Relationship Management
- Cell Technology for Biomedical Research
- Cells in Health and Disease
- Compressed Sensing
- Computational Methods
- E-commerce Technology and Applications
- Environmental Impact and Assessment
- Forecasting and Applied Time Series Analysis
- Geographic Information Science
- Human Genetics
- Information Systems Audit and Control
- Intelligent Transportation Systems
- Medical Informatics
- Modelling of Epidemic and Pandemic
- Radiographic Imaging Science
- Remote Sensing
- Remote Sensing of the Environment
- Simulation
- Spatial Big Data Analytics
- Stochastic Processes for Investment
- Survey Sampling
- Urban Informatics and City Planning
- 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; 3 credits of Service Learning (SL) subjects; and non-credit bearing of Essential Components of General Education (Academic Integrity, Artificial Intelligence and Data Analytics, Innovation and Entrepreneurship, and National Education).
^ 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.
Normally 70 credits depending on the student's entry qualification
(plus 2 training credits of Work-Integrated Education)
Programme Leader
Dr Pong Ting-kei
BSc, MPhil, PhD
Deputy Programme Leaders
Dr Wong Kin Yau, Alex
BSc, MPhil, PhD
Assistant Programme Leaders
Dr Tai Hoi-lun, Allen
BSc, MPhil, PhD
An appropriate Associate Degree or a Higher Diploma in IT, statistics, engineering, science or business from a recognised institution.
For further programme information, please contact:
The General Office (tel: 2766 6948; email: dsa.info@polyu.edu.hk)
This programme combines mathematical knowledge with computer programming skill and emphasizes its application in various industries. Studying in AMA is enjoyable. In addition to the classroom study, AMA organizes a wide range of training and workshops to prepare us for our future career development. I have made the most out of my study and become well prepared for future challenges.
AMA offers diverse learning opportunities e.g. computer programming workshops and internship. This programme has prepared me well with Data Analytic skills, which greatly support my job as a Customer Value Management Officer in a bank upon my graduation.
Required. Download here.
Required
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.
About 30-45 minutes
-
Applicants may be invited to interviews. No make-up interviews or earlier interviews will be arranged for applicants who fail to attend the scheduled interviews.
