Aligned with the strategic task outlined in the Fourth Plenary Session of the 20th CPC Central Committee to "accelerate high-level technological self-reliance and self-improvement to lead the development of new quality productive forces," and guided by the spirit of the "Recommendations of the Central Committee of the Communist Party of China on Formulating the 15th Five-Year Plan for National Economic and Social Development," which calls for "deepening the construction of Digital China and accelerating technological innovation in AI and other digital-intelligent fields," the Artificial Intelligence program is committed to cultivating versatile senior engineering and technical talents. These talents will possess a solid grasp of fundamental theoretical methods and cutting-edge core engineering technologies in artificial intelligence, serving major national strategic needs and the high-quality development of emerging industries in Jiangxi Province.

Students are expected to achieve mastery and integration of professional knowledge and engineering techniques in mathematics, natural sciences, electronic information, and artificial intelligence. They should develop the ability to independently solve complex engineering problems in AI and related interdisciplinary fields. Upon graduation, they can engage in scientific research, technical work, development, and management in areas such as intelligent hardware development and intelligent information processing.

Five years after graduation, graduates should possess sound humanistic literacy, ethical standards, and a sense of social responsibility, alongside career ambition, and awareness of safety and environmental protection, enabling them to actively serve the nation and society. They should demonstrate excellent teamwork, communication, and collaboration skills, capable of serving effectively as members or leaders in multidisciplinary research or engineering project teams. With an international perspective, they should be able to tackle frontier technological research and evolving technical challenges, and pursue self-improvement through lifelong learning channels such as continuing education. Furthermore, they should be able to comprehensively apply foundational knowledge and professional expertise to identify, investigate, and solve complex engineering problems in AI and interdisciplinary fields. In doing so, they must consider various constraints, including social, environmental, safety, legal, and economic factors, and utilize diverse resources optimally for decision-making and management in part or the entirety of engineering projects.