Curriculum


Programme Aim

The programme aims to provide university-level training to enable students to develop an understanding on statistical data analysis; quantitative skills; and mathematical techniques for business and investment analysis, quantitative survey and research, financial management and analysis. Graduates of this programme will have the competence to take up jobs in bank, financial and business analysis, marketing research, statistical service agencies, government and education sectors. This program provides with a series of training in using quantitative software including SAS and SPSS.

Programme Structure - BSc(Hon) in Data Science (BSCHDSF) 數據科學榮譽理學士, offered in 2019-2020 cohort

Learning Outcomes:
  • demonstrate conceptual understanding and technical proficiency with statistical analysis, processing, and management of data.
  • perform the work of a data science professional competently by thoughtfully drawing upon various practical skills and methodologies in statistics, computing, and mathematics.
  • formulate solutions with appropriate data science knowledge and techniques for problems in real-world contexts and communicate these solutions effectively.
  • utilize appropriate techniques such as computer programming and software tools to facilitate data science tasks.
  • discuss current issues in data science through keeping abreast of professional knowledge in the global context.
  • recognize and commit to professional and ethical responsibility.

Year 3 students must complete the requirements listed in the following table:

Core STAT S251F Statistical Data Analysis
STAT S315F Stochastic Processes
COMP S208F Introduction to Computer Programming
COMP S209F Data Structures, Algorithms, and Problem Solving
STAT S313F Multivariate Analysis
STAT S314F Regression in Practice
STAT S366F SAS Programming
COMP S382F Data Mining and Analytics
ENG English Language Enhancement Course

Year 4 students must complete the requirements listed in the following table:

Core STAT S311F Time Series Analysis
COMP S358F Relational Databases - 2 terms
COMP S492F Artificial Intelligence
STAT S462F Optimization
STAT S460F Advanced Topics in Data Mining
STAT S461F Data Science Project - 2 terms

Programme Structure - BSc(Hon) in Statistical Analysis and Data Science (BSCHSADSF), offered in 2018-2019 cohort

Year 3 students must complete the requirements listed in the following table:

Core MATH S201F Finite Mathematics for Business
ENGL S250F   English Writing for Workplace Communication
STAT S310F Statistical Methods for Investment (CEF)
STAT S311F Time Series Analysis with Applications (CEF)
STAT S312F Design and Analysis of Experiments
STAT S314F Statistical Methods for Economics and Finance
STAT S413F Multivariate Statistical Analysis for Data science
Elective
(1 out of 3)
STAT S330F Quantitative Research Methods
COMP S202F Java Programming Fundamentals
STATS251F Statistical Analysis for Testing & Certification

Year 4 students must complete the requirements listed in the following table:

Core STAT S315F Applied Probability Models for Investment (CEF)
STAT S318F Statistical Methods for Data Mining
STAT S410F Quantitative Research Project
STAT S411F Statistical Computing Project
STAT S414F Database Management
STAT S415F Big Data Analytics
Elective
(2 out of 4)
STAT S316F Decision Analysis
STAT S319F Credit Risk Analysis
MATH S390F Quantitative Models for Financial Risk (CEF)
MATH S391F Mathematical Methods for Finance

*CEF means 'Continuing Education Fund' approved course.