Curriculum Planning
Curriculum Structure
The Bachelor Program in Artificial Intelligence Applications and Management responds to the global AI and digital transformation era. The curriculum emphasizes AI literacy, programming, data analysis, business management, and market analysis. Instruction uses a tiered, progressive model so students learn to Use AI, Build AI, and Manage AI, with cross-module electives and a multicultural learning environment.
(1) Course Study
1. Program length 4 years; Chinese certificate title “Bachelor Program in Artificial Intelligence Applications and Management”; degree conferred: Bachelor of Business Administration (B.B.A.).
2. Minimum undergraduate graduation credits are 128, including university-required credits (including general education) and program-required credits as specified in the curriculum structure.
3. Minor: per university regulations.
4. Dual Degree: None
(2) Curriculum Planning
1. AI Applications Module:
Builds progressive skills from foundational literacy to advanced applications—Introduction to AI, Python/R programming, databases, business intelligence and visual analytics, machine learning, deep learning, generative AI, and decision-support systems.
2. Business Management & Market Analysis Modules:
Develops management, strategy, finance/performance, supply chain, project management, consumer behavior, digital marketing, CRM, and recommendation systems so students can apply AI to real business problems.
(3) Career Paths
1. AI application and business analytics: data analysis, BI/visualization, and decision-support roles.
2. Digital marketing and customer insights: CRM, recommendation systems, and marketing analytics.
3. Smart operations and management: process improvement, project management, and AI-enabled workflows.
4. Related industries: digital transformation consulting, e-learning/AI tooling, and cross-disciplinary AI product support.
Undergraduate Curriculum Structure Download
Program Course List Download
Program Document Downloads
Related Regulations and Procedures
Project Presentation Related Documents
Other
Core Competencies
◎ Foundational AI literacy and application skills
◎ Teamwork and project execution & management
◎ Data analysis and AI-enabled business application
◎ Global outlook, work ethics, responsibility, and professionalism
Basic Competencies
I. To enhance students’ competitiveness for further study and employment, pursuant to the “Ming Chuan University Student Graduation Qualification Assessment Implementation Regulations,” these “Ming Chuan University Bachelor Program in Artificial Intelligence Applications and Management Professional Basic Competency Assessment Implementation Guidelines” (hereinafter “these Guidelines”) are established.
II. Undergraduate students admitted from Academic Year 2010 onward must pass the university’s graduation qualification standards for “Service Learning,” “English Proficiency,” “Information Literacy,” “Chinese Proficiency,” and “Physical Fitness,” as well as the “Basic Competencies” standards set in these guidelines, before graduating.
III. Undergraduate students of this program must pass basic competency assessments during their studies; the items and standards are as follows:
1. Design Project Production Competency: Pass graduation project design report review, publicly present creative works, and pass examination.
2. AI Applications Professional Competency: Participate in at least one major domestic or international design competition before graduation (works subject to advisor approval).
Learning Map
To achieve modular learning (AI Applications; Business Management & Market Analysis), freshman- and sophomore-year required courses build foundational literacy and programming skills; learning maps for advanced modules guide junior- and senior-year study. Required and recommended electives are planned according to professional pathways and employment markets. In senior-year graduation projects, students plan and execute applied AI × management projects aligned with program talent-cultivation goals.
