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

PolyU SPEED Articulation (Top-up) Degree Programmes

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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)

Medium of Instruction

English (except for subjects with Chinese requirements)

Scheme Leader

Dr Adam WONG


Programme Leader

Dr HO Wai-tung

BSc, MPhil, PhD

Assistant Programme Leader

Dr LO Ching-on

BSc, MPhil, PhD

Commencement Date

02 Sep 2024

Normal Duration

2 years

Tuition Fee (Local students)

HK$3,000/ credit

Tuition Fee (Non-local students)

HK$3,300/ 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


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BSc (Hons) in Applied Sciences (Statistics and Data Science)

Division of Science, Engineering and Health Studies

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) Note19
Cluster Area Requirements (CAR)

2 subjects, 3 credits each

Service-Learning (SL) OR Free Elective1 subject, 3 credits3
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
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) Note3 
300 hours of work-based learning experienceN/A
Total60 – 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
  • Data Science with Programming
  • Foundations of Data Science
  • Statistical Data Analysis (non-credit-bearing)


Award-Specific Compulsory (all 8 subjects)

  • Big Data and Cloud Analytics
  • Data Structures and Algorithms
  • Data Visualisation and Analytics
  • 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
  • Computational Approaches to Language Analysis
  • Computer Security
  • Electronic Commerce Strategy and Implementation
  • Financial Management for Non-finance Specialists
  • FinTech and Blockchain
  • Health Informatics and Healthcare 4.0
  • Marketing Technologies
  • Operations Research Methods
  • Public Health and Epidemiology
  • Simulation Models for Business
  • Statistical Inference
  • Survey Design and Analytics
  • Web Application Development and Management
  • Web Systems and Technologies

Offering of any elective subjects is subject to sufficient enrolment.


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).



  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. He/she must demonstrate sufficient motivation, knowledge and potential to indicate a high probability of being able to complete the programme successfully. In addition, he/she may be required to take appropriate foundation subject(s).
  3. Applicants should have prior knowledge in linear algebra.