The Automation Program at Guangxi University originated from the Industrial Electrical Automation program established in 1971. Through resource integration in 1986 and 1995, the Industrial Automation major was established, which was renamed to its current name in 1998. This program has been recognized as a National-level Featured Specialty (2009), a Provincial-level High-Quality Specialty (2007), a Provincial-level Featured Specialty (2011), and a National First-Class Undergraduate Specialty Construction Site (2019).

The program primarily aims to cultivate well-rounded individuals with moral, intellectual, physical, aesthetic, and labor education. Graduates will master fundamental professional knowledge, possess a sense of social responsibility, legal awareness, international vision, strong engineering practice capabilities, and innovative and entrepreneurial spirit. They can engage in technical development, system design, system integration, project management, and scientific research in automation-related industries such as manufacturing, information, automotive, chemical, transportation, sugar, and power. Core courses offered include Automatic Control Theory, Modern Control Theory, Signal Analysis and Processing, Power Electronics Technology, Electric Machine and Motion Control Systems, Modern Detection Technology, Process Control Systems and Devices, Fundamentals of Artificial Intelligence, Introduction to Automation and Intelligence, Robotics, etc.

Graduates typically have the ability to design and implement automation systems, solve complex engineering problems, and enhance production efficiency and system reliability. They work in fields such as control system design, embedded system development, and intelligent system design and implementation. Employment opportunities span manufacturing, energy, transportation, information technology, aerospace, and medical equipment industries; they can also work in various enterprises, government departments, and research institutes.

The program currently has 28 full-time faculty members, including 10 professors, 5 associate professors, 10 assistant professors, and 3 lecturers. Faculty research focuses on control theory and control engineering, artificial intelligence, robotics, image and vision, and intelligent power.