The MBA curriculum will consist of 1 required courses (3 credits), 6 basic management courses (18 credits) , Ethics and Social Responsibility (1 credits) and 23 elective credits with a total of 45 credit hours. A master thesis is required for graduation. The normal study period of this program will be 2 years; the maximum period of study will be 4 years. The curriculum modules are described as below:

Required Courses:

• Research Methodolgy

Basic Management Courses:

• Productions and Operations Management
• Marketing Management and Research
• Financial Management & Research
• Human Resources Management
• Management Information Systems
• Organizational Theory & Management
• Business Policy and Strategy
• Ethics and Leadership 
• Managerial Statistics
• Managerial Accounting
• Managerial Economics (Required by MBA2 students)

Ethics and Social Responsibility:

• Ethics and Social Responsibility

Elective Courses: 
Elective courses are provided for students to develop their expertise in specialized areas, including finance, human resources, information systems, production and operations, marketing, as well as international strategy.

• Strategy and International Business Management
  • International Business Management
  • Cross-Culture Management
  • International Strategic Management
  • Comparative Study on Cross-Strait Business Management
  • Industrial Competition Analysis
  • International Professional Communication
  • Competitive Dynamics: Concepts, Cases, and Application
  • Strategic Principles in The Art of War of Sun-Zi
  • The Strategic Principles in The Art of War of Lao-Zi
  • Strategic Dynamics
  • Crisis Management
  • Industry Analysis of Emerging Markets
  • Global Leadership
  • Case Studies Analysis
• Organization and Human Resources Management
  • Organization Learning
  • Systemic Thinking
  • Team Learning
  • Social Network Analysis
  • Organizational Development and Change
  • International Organizational Behavior
  • Happiness Management
  • Business Negotiations and Conflict Management
  • Work Psychology
  • International Human Resource Management
  • Decision Analysis
  • Building and Leading Effective Teams
• Marketing
  • Marketing Research and Consumer Behavior Insights
  • Marketing Research Method
  • Service Marketing
  • Retail Management
  • International Marketing
  • Strategic Brand Management
• Finance
  • Financial Statements Analysis
  • Research Methods in Finance
  • Securities Market Analysis
  • Behavioral Economics
  • Industry Data Analysis
  • Computer Application in Financial Management
  • Application and Innovation For Fintech
  • Risk Management Case Study
  • Case Studies in Financial Management
  • Quantitative in Business Management
  • Investments
  • Seminar in Finance
• Law and Business
  • Business and Law
  • International Economic Law-Business & Policy
  • Market and Law
  • Law and Technology in Industrial Policy
  • Regulating Global Corporate Capitalism
  • Ethical, Legal, and Professional Decision-making in Business
  • Law and Competitive Advantages
• E-commerce and Business Ecosystem
  • Game Theory and Competitive Strategy
  • E- Commerce Model and Business Ecosystem
  • Application of Life-Style Database
  • IoT and Application
  • Supply Chain Management
  • Business Analytics
  • Artificial Intelligence
  • Data Science Management
  • Platform Business Model
  • Virtual Learning (I)
  • Virtual Learning(II)
  • AI Tools for Research and Business
• Entrepreneurship Management
  • Entrepreneurship Management
  • Creative Management
  • Analysis in Cultural and Creative Industries
  • New Venture and Operation
  • Design Thinking
  • Social Innovation, Entrepreneurship, and Sustainable Governance
• Technology Management
  • Technological Innovation Management
  • Knowledge Management
  • Introduction to Intellectual Property Rights
  • Quality Management
  • Six Sigma
  • Service Operations Management
  • Business Analysis and Consultancy
• Research Methods
  • Business Research Methods
  • Essay Writing
  • Qualitative Research Methods
  • Survey of Employees' Attitude
  • Industrial Data Analysis and Causal Inference