The Undergraduate Program
The undergraduate program offers a set of mandatory courses for students to learn basic information and management knowledge, along with internship credits for them to work part-time in the industry.
Our students are classified into the Electronic Commerce Group, Big Data Group or AI Group. Grouping is designed to consider different subjects during university admissions, allowing students with similar interests and talents to be in the same class.
With guidance from suitable teachers, this approach aims to achieve personalized education. However, students are not restricted from taking courses across different groups.


Electronic Commerce Group
The Electronic Commerce Group focuses on e-commerce development, management, operation and innovation and entrepreneurship capabilities.
The process of managing a business has shifted to e-commerce. Therefore, our department has designed business-related courses, including STP analysis, product strategy, payment management and logistics management.
Our students learn front-end development as well as database management system techniques necessary to facilitate physical stores moving to e-commerce websites.
Big Data Group
Big Data refers to massive digital data that traditional data processing technologies cannot handle. This phenomenon arose with the surge of the Internet, which brought an overwhelming amount of information.
Students in the Big Data group learn to extract data from the web using Python or specialized software. By setting predefined rules, web crawlers can automatically collect and retrieve information, organizing it into specific formats.
Moreover, big data collected from the web must be analyzed before it can be used to support strategic decision-making. So, for example, our students learn such lessons as how transaction data can be used for customer segmentation or cross-marketing to key clients.


AI Group
The Artificial Intelligence Application group focuses not on basic technology research but on applying AI to business environments to create new opportunities.
Possible applications include integrating ChatGPT and other APIs to combine a company’s product knowledge to answer customers’ questions, using AI to analyze consumer habits and recommend relevant products, and improving business logistics through AIoT, etc.
In addition to many AI courses, such as Machine Learning Introduction to AI, Business Intelligence and Analysis, students in this group also study some programming courses such as IoT Applications, .NET & Python Programming in order to implement a web-based system for AI applications.

Campus Information
■Taoyuan: 5 De Ming Rd., Gui Shan District, Taoyuan County 333, Taiwan. | +886 3 350-7001
■ Jihe: 3F-8F, No.130, Jihe Rd., Shihlin District, Taipei City 111, Taiwan. | +886 2 2882-4564
■ Kinmen: 105 De Ming Rd., Jinsha Township, Kinmen County 890, Taiwan. | +886 355-233
■ Michigan Location:Gilbertson Hall, Saginaw Valley State University, 7400 Bay Road, Saginaw, MI 48710 U.S.A. Telephone: 1-989-964-2497 (U.S.) | +886 2 2882-4564 (Taiwan)