Undergraduate Program

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-timely in the industry.

Thereafter, the students will be classified into the Electronic Commerce Group, Big Data Group and 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 Elecronic 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.

When physical stores move to e-commerce websites, students need to learn front-end development as well as database management systems techniques.

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 will 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.

However, the big data collected from the web must be analyzed before it can be used to support strategic decision-making. For example, 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.

Students in this class have to study many AI courses, such as Machine Learning, Introduction to AI, Business Intelligence and Analysis, yet they also have to study some programming courses such as IoT Applications, .NET & Python Programming in order to implement a web-based system for AI applications.

Campus Information