PolyU-SPEED Awards

section banner deco upsection banner deco downProgramme

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

Credits Required for Graduation

60 - 78 credits

Medium of Instruction

English (except for subjects with Chinese requirements)

Scheme Leader

Dr Ben FONG

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

Award Leader

Dr Peggy NG Mei-lan

BASc, MBUS, PgCertEd, MSc, DBA, AFHEA

Commencement Date

07 Sep 2020

Normal Duration

2 years

Tuition Fee (Local students)

HK$2,550/ credit

Tuition Fee (Non-local students)

HK$2,805/ credit

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:

 

RequirementsCredits
General University Requirements (GUR)9 – 18 
2 Cluster Area Requirements (CAR) subjects (including 1 designated as China-related)+, 3 credits each6
1 Service Learning (SL) 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 
Scheme
Compulsory
7 subjects, 3 credits each21 
Award-Specific
Compulsory
8 subjects, 3 credits each24 
Elective2 subjects, 3 credits each6
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.)
Nil
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 7 subjects)

  • Applied Data Analytics CEF
  • Business Communication in Chinese
  • Effective Professional Communication in English
  • Integrated Study (Applied Sciences)
  • Management of Technology, Innovation and EntrepreneurshipCEF
  • 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)

  • Data Structures and Algorithms
  • Database Technologies and Management
  • Decision Analysis with Python
  • Forecasting and Applied Time Series Analysis
  • Informatics
  • Operations Research Methods
  • Simulation Models for Business
  • Survey Sampling

 

Elective# (any 2 subjects)

  • Applied Probability Models
  • Artificial Intelligence
  • Big Data Analytics
  • Computer Network Administration
  • Computer Security
  • Financial Management for Non-finance Specialists
  • Principles and Practices of FinTech
  • Statistical Inference
  • Web Application Development and Management
  • Web Systems and Technologies

 

Offering of any elective subjects is subject to sufficient enrolment.

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).

 

Notes:

  1. The main medium of instruction of the study programme concerned should be English.  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

Enquiries

Scheme Leader

Dr Ben FONG

3746 0703

Award Leader

Dr Peggy NG Mei-lan

3746 0701

Programme Officer

Ms June CHEUNG

3746 0029

Senior Administrative Assistant

Ms Cannes AU

3746 0042