City University of Hong Kong

MSc Business and Data Analytics 理學碩士 (商業及數據分析)

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Course Information

Registration period
Year-round Recruitment
Price
HKD 10,000
(HK$10,000 per credit)
Study Mode
Duration
2 Year(s)
Language
Cantonese, English
Location
-
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Course Overview

Programme Aims and Objectives
The MSc in Business and Data Analytics (MScBDA) programme aims to cultivate students with professional knowledge of business data analytics through active learning of the theories, methods, supporting techniques across a wide range of knowledge areas such as applied statistics, big data management, data mining and social media analytics. The MScBDA programme has two streams. A student will be admitted to either the Information Analytics Management (IAM) or the Quantitative Analysis for Business (QAB) stream.

What You’ll Learn

Course Description
Core Courses

  • Database Management Systems
  • Data Visualization
  • Statistical Data Analysis
  • Data Mining

Information Analytics Management Stream Core

Machine Learning and Social Media Analytics
Information Analytics Management Stream Electives

Complete 15 credits with at least 9 credits obtained from the following stream elective courses:

  • Analytical Programming with Python
  • Business Data Analytics
  • Business Intelligence Applications
  • Blockchain Technology and Business Applications
  • Information Systems Project
  • Innovation and Technology Entrepreneurship
  • Knowledge Management
  • Management Support and Business Intelligence Systems
  • Project Management and Quality Assurance
  • Generative Artificial Intelligence for Business*
  • Artificial Intelligence for Business Applications*
  • Large Language Model with Prompt Engineering for Business*

The remaining credits can be obtained by taking postgraduate elective courses offered by any departments in the College of Business.

*Subject to approval by the University

Quantitative Analysis for Business Stream Core

  • Applied Linear Statistical Models

Quantitative Analysis for Business Stream Electives

Complete 5 electives with at least 4 chosen from the following list:

  • Contemporary Topics in Quantitative Analysis for Business
  • Decision Analytics
  • Managerial Decision Modeling
  • Predictive Analytics with Excel and R
  • Predictive Modeling and Forecasting for Business
  • Predictive Modeling in Marketing
  • Project Management
  • Statistical Modelling in Economics and Finance
  • Statistical Modelling in Risk Management

The remaining elective is a postgraduate course offered by any department in the College of Business.



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