PolyU SPEED BSc (Hons) in Data Science and Artificial Intelligence - Full-time

PolyU SPEED Undergraduate Top-up Degree Programmes

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Bachelor of Science (Honours) in Data Science and Artificial Intelligence - Full-time

Bachelor of Science (Honours) in Data Science and Artificial Intelligence - Full-time

Programme Code

84090-DA (Full-time)

Medium of Instruction

English (except for subjects with Chinese requirements)

Scheme Leader

Dr Adam WONG

BSc, MSc, DBA, CNE, MCSE

Programme Leader

Dr HO Wai-tung

BSc, MPhil, PhD

Assistant Programme Leader

Dr LO Ching-on

BSc, MPhil, PhD

Tuition Fee

Tuition Fee

Normal Duration

2 years

Academic Division

Division of Science, Engineering and Health Studies

Remarks

This is a revamped and retitled programme with effect from 2025/26 intake. The original programme title was Bachelor of Science (Honours) in Applied Sciences (Statistics and Data Science).

Students and Alumni Stories

Programme Features

  • Nurtures data science and AI talents
  • You will acquire knowledge of a range of data management, data analytics, and AI tools, including Python, R, SQL Server, Tableau, Microsoft Power BI, TensorFlow, and PyTorch
  • You will be well prepared for career development through professional exam preparation workshops. Some students in the past obtained the credentials from SAS and Microsoft before graduation
  • Opportunities to participate in data analytics and AI-related internships. Past students have undergone internship training in companies such as PCCW Solutions, ICO Limited, lpsos and Nielsen
  • You will be able to learn predictive analytics, machine learning, data visualisation, and AI cutting-edge technologies, such as large language model, computer vision and deep learning
  • Offers an interdisciplinary curriculum with a selection of subjects emphasising applications of AI in computer science, finance and health informatics

 

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BSc (Hons) in Statistics and Data Science

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Division of Science, Engineering and Health Studies

Future Prospects

Career Prospect 

  • Graduates are able to pursue a wide range of careers, including Data Scientist, LLM Engineer, AI Engineer, Data Engineer, Data Analyst, Machine Learning Engineer, Data Management Specialist and Statistical Analyst
  • The average starting salary of graduates was around HK$19,560 in 2024

* 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

6
Service-Learning (SL) 1 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
Scheme
Compulsory
6 subjects, 3 credits each18
Award-Specific
Compulsory
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
  • Management of Innovation and Technology 
  • 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)

  • Predictive Modeling
  • Artificial Intelligence
  • Programming for AI Applications
  • Large Language Models and Natural Language Processing
  • Deep Learning
  • Machine Learning for Data Mining
  • Big Data and Cloud Analytics
  • Data Visualisation and Analytics

 

Elective# (any 3 subjects)

  • Financial Forecasting
  • FinTech and Blockchain
  • Marketing Technologies
  • Computational Approaches to Language Analysis
  • Web Systems and Technologies
  • Social Network Data Analysis
  • Decision Analysis with Python
  • Health Informatics and Healthcare 4.0
  • Survey Design and Analytics
  • Computer Vision and Image Analysis
  • Operations Research Methods
  • Simulation Models for Business
  • Public Health and Epidemiology

Offering of any elective subjects is subject to sufficient enrolment.

Notes

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 an 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. An applicant who is not a native speaker of English, and does not possess an Associate Degree or a Higher Diploma or an equivalent qualification for which English was the primary medium of instruction, is expected to fulfil the following minimum English language requirements:

    i) An overall Band Score of 6.0 in the International English Language Testing System (IELTS); OR

    ii) A Test of English as a Foreign Language (TOEFL) score of 80 for the Internet-based test / 550 for the paper-based test; OR

    iii) Satisfactory results in other recognised English language assessments

    Individual cases may be considered on their own merit, and applicants concerned may be required to take an additional 3-credit Adjunct English subject upon admission.

  2. An applicant who does not possess the above-mentioned qualification but has reached the age of 25 before 1 September, in the academic 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.

Enquiries