{"id":11732,"date":"2026-01-09T16:09:41","date_gmt":"2026-01-09T08:09:41","guid":{"rendered":"https:\/\/am.mcu.edu.tw\/?page_id=11732"},"modified":"2026-09-18T11:20:09","modified_gmt":"2026-09-18T03:20:09","slug":"curriculum-map","status":"publish","type":"page","link":"https:\/\/am.mcu.edu.tw\/en\/curriculum-map\/","title":{"rendered":"Curriculum Map"},"content":{"rendered":"
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Curriculum Planning<\/strong><\/span><\/h1><\/div><\/div><\/div>
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Curriculum Structure<\/h5>\n<\/div>\n<\/div>\n
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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.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

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(1) Course Study<\/h5>\n<\/div>\n<\/div>\n
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1. Program length 4 years; Chinese certificate title \u201cBachelor Program in Artificial Intelligence Applications and Management\u201d; 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<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

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(2) Curriculum Planning<\/h5>\n<\/div>\n<\/div>\n
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1. AI Applications Module:
Builds progressive skills from foundational literacy to advanced applications\u2014Introduction 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.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

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(3) Career Paths<\/h5>\n<\/div>\n<\/div>\n
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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.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/section><\/div><\/div><\/div><\/div>

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Undergraduate Curriculum Structure Download<\/strong><\/h1><\/div><\/div><\/div><\/div>
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Program Course List Download<\/strong><\/h1><\/div><\/div><\/div><\/div>
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Program Document Downloads<\/strong><\/h1><\/div><\/div><\/div>

Related Regulations and Procedures<\/h1><\/div><\/div><\/div><\/div>
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Project Presentation Related Documents<\/h1><\/div><\/div><\/div><\/div>
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Other<\/h1><\/div><\/div><\/div><\/div>
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Core Competencies<\/strong><\/h1><\/div><\/div><\/div>

\u25ce Foundational AI literacy and application skills
\u25ce Teamwork and project execution & management
\u25ce Data analysis and AI-enabled business application
\u25ce Global outlook, work ethics, responsibility, and professionalism<\/p><\/div><\/div>

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Basic Competencies<\/h5>\n<\/div>\n<\/div>\n
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I. To enhance students\u2019 competitiveness for further study and employment, pursuant to the \u201cMing Chuan University Student Graduation Qualification Assessment Implementation Regulations,\u201d these \u201cMing Chuan University Bachelor Program in Artificial Intelligence Applications and Management Professional Basic Competency Assessment Implementation Guidelines\u201d (hereinafter \u201cthese Guidelines\u201d) are established.
II. Undergraduate students admitted from Academic Year 2010 onward must pass the university\u2019s graduation qualification standards for \u201cService Learning,\u201d \u201cEnglish Proficiency,\u201d \u201cInformation Literacy,\u201d \u201cChinese Proficiency,\u201d and \u201cPhysical Fitness,\u201d as well as the \u201cBasic Competencies\u201d 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).<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

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Learning Map<\/h5>\n<\/div>\n<\/div>\n
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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 \u00d7 management projects aligned with program talent-cultivation goals.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/section><\/div><\/div>

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Learning Map Download<\/h1><\/div><\/div><\/div><\/div><\/div><\/div>
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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. … <\/p>\n

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