
Q&A
A:Upon graduation, we conferBachelor of Business Administration (B.B.A.).
Full Chinese and English names of the degree certificate (Click here).
A: Both—we cultivate a new generation of talent who can “direct AI to solve business problems”!
The design philosophy of this program is “interdisciplinary integration.” We do not solely teach programming, nor only management theory—we combine both. The goal is for you to learn how to use AI tools (such as generative AI and big data analytics) to optimize business decisions, analyze market trends, and solve real enterprise problems. Simply put, we cultivate managers who understand technology, or technology practitioners who understand business strategy.
Our curriculum structure is like a golden triangle covering three core modules :
1. AI Application Technology: Learn Python/R programming, generative AI applications, machine learning, web scraping, and data mining.
2. Marketing Analysis: Learn consumer behavior analysis, digital marketing, recommendation systems (e.g., Netflix/YouTube algorithms), and omnichannel marketing strategy.
3. Business Management: Learn financial analysis, supply chain management, project management, innovation and entrepreneurship, and ESG sustainable management.
A:We emphasize putting technology into practice and real application scenarios.
Compared with engineering training that drills into low-level algorithms, or management courses that purely explore theory, this program emphasizes the “connecting middle.”For example, we do not only teach you to write code—we teach you how to use code to “capture online social buzz” for marketing strategy; we do not only teach management—we teach you how to use “data dashboards” to monitor business performance. This is an integrated program emphasizing “learning by doing.”
A: Don’t worry—our curriculum uses progressive teaching designed for all backgrounds.
- Starting from zero: In the freshman and sophomore years, we start from the fundamentals—“Introduction to AI” and “Basic Programming”—building your logic step by step. .
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Arts & sciences complement each other: We warmly welcome Group I (humanities, law, and business) students, because AI applications require sensitivity to “people” and “markets”—a strength of humanities students. Combined with the logical strengths of Group II students, classmates from different backgrounds can spark even more ideas in project collaboration. .
A: You will be highly sought-after talent with dual expertise and very broad career options. Industry currently faces a severe shortage of talent who can bridge technology and business. Surveys show that demand for such talent is surging not only in tech but also in finance, retail, and service sectors . Future career options include :
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Data & decision roles: Business Data Analyst, Operations Data Analyst, Market Analyst.
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Marketing Management Roles: Digital Marketing Manager, Product Development Project Manager (PM), Customer Behavior Analyst.
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Technology Application Roles: AI Data Application Specialist, Web Engineer.
