Program Overview

Bachelor of Science (Honours) in Data Science and Analytics

The Bachelor of Science (Honours) in Data Science and Analytics programme is designed to produce graduates with expertise that cuts across the core disciplines of mathematics, statistics, and computer science. The programme aims to turn large-scale data into intelligence through the application of cutting-edge techniques in these fields.

Programme Aims

The programme is concerned with the critical arc that runs from data to information, information to knowledge, and knowledge to decision-making. It emphasizes the acquisition of analytical skills based on mathematics, statistics, and computing, and their application to the management and analysis of data, as well as to the discovery of lawfulness from very large data sets or systems, now generally referred to as Big Data.

Recognition and Prospects

The BSc (Hons) in Data Science and Analytics programme is designed to develop students' analytical, critical thinking, problem-solving, and communication skills, which enables them to pursue a variety of careers in areas such as IT, retail, urban planning, healthcare, marketing, and research, consultancy, government, and public utilities. Graduates can also pursue further studies in postgraduate programmes locally or overseas.

Career Prospects

Graduates of the programme can apply for partial exemption from the professional assessment of the Hong Kong Statistical Society (HKSS) and the Royal Statistical Society (RSS).

Curriculum

Students must complete all of the Major (Discipline-Specific Requirement) and General University Requirement (GUR) subjects to fulfill the credit requirement for graduation, except those who are given credit transfers due to their prior study.

Major (Discipline-Specific Requirement) Subjects

• Compulsory Subjects:
  • Big Data Analytics
  • Capstone Project
  • Data Mining and Data Warehousing
  • Decision Analysis
  • Further Mathematical Methods
  • High Dimensional Data Analysis
  • Operations Research Methods
  • Optimization Methods
  • Professional Communication in Chinese for Applied Science
  • Professional English for Data Science and Analytics Students
  • Programming for Data Science
  • Statistical Inference
  • Statistical Machine Learning
• Elective Subjects:
  • Artificial Intelligence
  • Business Intelligence and Customer Relationship Management
  • Cell Technology for Biomedical Research
  • Cells in Health and Disease
  • Compressed Sensing
  • Computational Methods
  • E-commerce Technology and Applications
  • Environmental Impact and Assessment
  • Forecasting and Applied Time Series Analysis
  • Geographic Information Science
  • Human Genetics
  • Information Systems Audit and Control
  • Intelligent Transportation Systems
  • Medical Informatics
  • Modelling of Epidemic and Pandemic
  • Radiographic Imaging Science
  • Remote Sensing
  • Remote Sensing of the Environment
  • Simulation
  • Spatial Big Data Analytics
  • Stochastic Processes for Investment
  • Survey Sampling
  • Urban Informatics and City Planning
  • Urban Planning (Workshops)
  • Web Application Design and Development

General University Requirement (GUR) Subjects

The GUR subjects comprise 6 credits of Cluster-Area Requirement (CAR) subjects, 3 credits of Service Learning (SL) subjects, and non-credit bearing of Essential Components of General Education (Academic Integrity, Artificial Intelligence and Data Analytics, Innovation and Entrepreneurship, and National Education).

Work-Integrated Education

Students are required to spend a minimum of three weeks or 120 hours working in firms either during summer vacation or as part-timers. Discipline-related summer placements may be found in Hong Kong, the Chinese Mainland, or overseas.

Credit Required for Graduation

Normally 70 credits depending on the student's entry qualification, plus 2 training credits of Work-Integrated Education.

Scheme/Programme Leader(s)

• Programme Leader: Prof. HAN Ruijian, BSc, PhD
• Deputy Programme Leader: Prof. LIN Wanyu, BEng, MSc, PhD, MIEEE

Entrance Requirements

An appropriate Associate Degree or a Higher Diploma in IT, statistics, engineering, science, or business from a recognized institution.

Additional Documents Required

• Transcript/Certificate
• Personal Statement

Interview Arrangement

• Aims: To evaluate the potential for and interest of applicants in the programme, and to test their communication skills and general knowledge relevant to the programme.
• Date of Interview: Between November 2025 and April 2026
• Duration: 30-45 minutes
• Medium: English
• Mode: Individual interview and/or group interview
• Remarks: Applicants may be invited to interviews. No make-up interviews or earlier interviews will be arranged for applicants who fail to attend the scheduled interviews.