PolyU SPEED BSc (Hons) in Applied Sciences (Statistics and Data Science) - Full-time
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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)

Credits Required for Graduation

Minimum 60 credits

Medium of Instruction

English (except for subjects with Chinese requirements)

Scheme Leader


MBBS, MPH, DOM, DFM, FHKCCM, FHKAM, Specialist in Community Medicine

Award Leader

Dr Peggy NG


Assistant Award Leader

Dr Wilson KWAN

BSc, MPhil, PhD

Commencement Date

05 Sep 2022

Normal Duration

2 years

Tuition Fee (Local students)

HK$2,625/ credit
(Tuition fee for the 2022/23 academic year is subject to review)

Tuition Fee (Non-local students)

The tuition fee for non-local students will be 10% higher than that for local students.

Aims and Objectives

The teaching team of this programme includes professionals in the fields of mathematics, statistics, computer science and business. During the course, students will learn a range of data management tools and statistical software, including SAS, Python, R, SPSS, Microsoft Excel (VBA) and SQL Server. In addition, students are encouraged to take professional examinations (e.g. SAS Global Certification program) and exam preparation workshops (by experienced instructors) are arranged biannually. 


Online information session:

Programme Structure

Students are required to complete the following requirements with satisfactory results for an honours degree:


General University Requirements (GUR)9 – 18 
2 Cluster Area Requirements (CAR) subjects (including 1 designated as China-related)+, 3 credits each6
1 Service Learning OR Free Elective subject3
Up to 3 Language and Communication Requirements (LCR)
subjects (2 in English & 1 in Chinese), 3 credits each

(for students who have not met the equivalent standard of
undergraduate degree LCR based on their prior sub-degree
studies only) 
0 – 9
Discipline Specific Requirements (DSR)
(Please refer to the table below for details)
51 – 60
FoundationUp to 4 subjects, 1 non-credit-bearing; 3 credits each for others
(for students from unrelated disciplines only)
0 - 9 
6 subjects, 3 credits each18 
8 subjects, 3 credits each24 
Elective3 subjects, 3 credits each9
Work-Integrated Education (WIE)
300 hours of work-based learning experience

(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.)
Total60 – 78 

Within these subjects, students need to fulfil the English and Chinese reading and writing requirements.

Students’ fulfilment of LCR will be assessed based on their academic records of sub-degree studies. They will be advised if they are required to take LCR subjects on admission.

Discipline Specific Requirements (DSR)


Scheme Compulsory (all 6 subjects)

  • Business Communication in Chinese
  • Effective Professional Communication in English
  • Integrated Study (Applied Sciences)
  • Management of Techology, Innovation and Entrepreneurship CEF
  • Professional Ethics and Social Responsibilities CEF
  • Research Methodology in Applied Sciences CEF


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
  • Principles and Practices of FinTech
  • 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.

 CEFThis 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).

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).



  1. 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).
  2. 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).
  3. Applicants should have prior knowledge in linear algebra.

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.

Career Prospects

This programme equips students with the requisite skills and competencies which will enable them to work as customer data analyst, statistical analyst, data science business analyst, data strategy and analytics officer, research officer, researcher, digital analyst, statistical officer, data scientist and statistician.

Students and Alumni Stories


Scheme Leader


3746 0703


Award Leader

Dr Peggy NG 

3746 0701

Assistant Award Leader

Dr Wilson KWAN

3746 0258

Programme Officer


3746 0029

Senior Administrative Assistant

Ms Cannes AU

3746 0042