Bachelor of Science (Honours) in Data Science and Analytics
Entrance Year Sept 2023
Programme Code 63428-SYD
Mode of Study Full-time
Normal Duration
2 years
Programme Intake 25 senior year places
Fund Type Government-Funded
Credits Required for Graduation
Normally 70 credits depending on the student's entry qualification
(plus 2 training credits of Work-Integrated Education)
Programme Leaders
Programme Leader Dr Pong Ting-kei Deputy Programme Leaders Dr Wong Kin Yau, Alex Assistant Programme Leaders Dr Tai Hoi-lun, Allen
BSc, MPhil, PhD
BSc, MPhil, PhD
BSc, MPhil, PhD
Remarks
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.
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. It provides students with solid foundation knowledge in data science and hand-on data analytical and programming skills, which will enable them to pursue careers in a broad range of industries, such as information technology, marketing and research, consultancy, healthcare, business retail, urban planning, government and public utilities.
This programme adopts a flexible curriculum which comprised of subjects offered by Department of Applied Mathematics, School of Accounting and Finance, Department of Building and Real Estate, Department of Computing, Department of Health Technology and Informatics, and Department of Land Surveying and Geo-Informatics. Students can border their data science domain knowledge by choosing elective subjects from a large subject pool offered by the above-mentioned departments.
Admission
An appropriate Associate Degree or a Higher Diploma in Statistics, Information Technology, Engineering, Science or Business or similar qualification from a recognised institution.
Online applications can be made via our eAdmission
The interview aims to evaluate the potential for and interest of applicants in the programme, and test their communication skills and general knowledge relevant to the programme.
Applicants will be invited to have face-to-face / online interviews, which will be conducted in English.
Curriculum
The below curriculum is reengineered for 2022/23 senior intake cohort. Student must complete all of the General University Requirement (GUR) and Discipline-Specific Requirement (DSR) subjects (comprises Compulsory and Elective subjects) to fulfil the credit requirement for graduation, except those who are given credit transfers due to their prior study.
Students who were admitted to 63425 programme in 2021/22 or before should refer to the Programme Requirement Document (63425) for further information.
- BSc (Hons) in Data Science and Analytics (63428-SYD) (for students admitted to the programme on or after 2022/23 academic year)
- BSc (Hons) in Data Science and Analytics (63425) (for students admitted to the programme on or before 2021/22 academic year)
Recognition and Career Prospect
Upon the completion of programme, graduates with the major in BSc (Hons) in Data Science and Analytics are expected to receive partial exemption from the professional assessment of:
- Hong Kong Statistical Society
- Royal Statistical Society of UK
This programme aims to endow students with knowledge and skills that cut across core disciplines of mathematics, statistics and computer science. It focuses on the study of analytical skills based on the three core disciplines and their application on the management and analysis of data, as well as the discovery of lawfulness from very large data systems. Graduates will be able to pursue careers as data analysts in a broad range of industries e.g. IT, retail, urban planning, healthcare, marketing and research, consultancy, government and public utilities.
Beyond the Classroom
Alumni Message
I’m grateful for the opportunities to gear up myself with the most sought-after Python skill in this programme. I have had an enjoyable study experience at PolyU and built a close rapport with AMA professors, staff and my fellow classmates.
Brian Ngai
AMA offers a diverse learning opportunities e.g. computer programming workshops and internship. This programme has well prepared me with Data Analytic skills which greatly support my job as a Customer Value Management Officer in bank upon my graduation.
Cheryl Wong
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 future career development. I have made the most of my study and well prepared for future challenges.
Jeffrey Tang
I’m grateful for the opportunities to gear up myself with the most sought-after Python skill in this programme. I have had an enjoyable study experience at PolyU and built a close rapport with AMA professors, staff and my fellow classmates.
True Yip
Enquiry
AMA General Office
- TU732
- +852 2766 6948
- dsa.info@polyu.edu.hk
