Program Introduction

Intelligent Science and Technology is a discipline within the field of Computer Science. Related industries, including Artificial Intelligence (AI), Robotics, Intelligent Sensing, Intelligent Connected Networks, and Smart Terminals, are not only core pillar industries for Shenzhen and the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), but their development level also serves as a leading example for high-tech industries both in China and globally. Facing the new era of AI, this program is dedicated to cultivating top-tier innovative talents. We emphasize a solid theoretical foundation and the enhancement of innovative application capabilities, while promoting interdisciplinary studies and an international perspective. We aim to contribute to building the GBA into a talent hub and support the nation's goal of achieving high-level scientific and technological self-reliance.

Intelligent Science and Technology is a foundational undergraduate program that studies the formation mechanisms of natural intelligence, as well as the theories, methods, and technological applications for realizing artificial intelligence. It is a core force driving the transition of society from the information age to the intelligence age. Based on Computer Science and Technology, Mathematics, Physics, Psychology, and Cognitive Science, this program has developed into a new interdisciplinary subject characterized by cross-disciplinary integration. Its main research areas include cognition and reasoning, computer vision, natural language processing, machine learning, embodied intelligence, multi-agent systems, intelligent data analysis, robotics, and brain-inspired intelligence.

Established with the approval of the Ministry of Education in 2019, the program has since secured a first-level discipline Doctoral Program in Computer Science and Technology (0812) in 2024, establishing a comprehensive talent development system encompassing undergraduate, master's, and doctoral degrees.

Curriculum System

The curriculum centers on core courses such as Introduction to Mathematical Logic, Data Structures and Algorithm Analysis, Probability Theory and Mathematical Statistics, Algorithm Design and Analysis, Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, and Natural Language Processing. The elective courses cover three major categories specific to this discipline—Computer Fundamentals, Theoretical Foundations of AI, and AI Applications—as well as interdisciplinary courses designed for cross-application.

Cutting-edge Research and Innovation Practice Courses

While strengthening theoretical foundations, this program places great emphasis on cultivating practical innovation capabilities. We offer problem-oriented, project-driven innovation practice courses covering different types of project topics such as cutting-edge research projects, university-enterprise cooperation projects, and open-source projects. Through a "Project-Student Group-Academic Mentor" mutual selection mechanism, students develop comprehensive abilities in literature review, problem-solving, teamwork, and writing and presentation skills. These experiences holistically enhance students' systematic research and innovation application capabilities in specific practical scenarios. Furthermore, through seminars, academic competitions, and exchange platforms, we stimulate students' interest in learning and exploration from multiple dimensions to improve their overall quality. Additionally, industrial internships and undergraduate thesis projects serve as practical courses to comprehensively enhance students' competitiveness.

Bilingual Teaching and Internationalized Training

Most courses in this program adopt English or bilingual (Chinese-English) instruction, ensuring that textbooks and course content are aligned with international standards. Combined with carefully designed course projects and experiments, we have constructed a comprehensive curriculum system with distinct international characteristics.

1. Requirements for Major Declaration at the End of the "1+3" First Academic Year

(1) Course Requirements:
The following 10 courses must be examined:

• MA117 Advanced Mathematics (I)

• MA127 Advanced Mathematics (II)

• MA113 Linear Algebra

• PHY105 College Physics (I)

• PHY106 College Physics (II)

• PHY104B Basic Physics Laboratory

• CH105 College Chemistry

• BIO102B / EOE111 Introduction to Life Sciences / College Earth Sciences (choose one of the two)

• CS109 Fundamentals of Computer Programming

• CS104 Introduction to Mathematical Logic

(2) Written Examination Assessment:
Students must pass the written examination organized by the Department of Computer Science.

• Time: Final exam week of the Spring semester (Year 1).

• Assessment Content:

1. Fundamentals of Computer Science

2. Programming Skills

3. Fundamentals of Mathematics

(3) Academic Integrity:
No record of cheating in any academic activities.

2. Requirements for Major Declaration at the End of the "2+2" Second Academic Year

(1) Course Requirements:
The following 12 courses must be examined:

• MA117 Advanced Mathematics (I)

• MA127 Advanced Mathematics (II)

• MA113 Linear Algebra

• PHY105 College Physics (I)

• PHY106 College Physics (II)

• PHY104B Basic Physics Laboratory

• CH105 College Chemistry

• BIO102B / EOE111 Introduction to Life Sciences / College Earth Sciences (choose one of the two)

• CS109 Fundamentals of Computer Programming

• CS104 Introduction to Mathematical Logic

• CS203 Data Structures and Algorithm Analysis

• MA212 Probability Theory and Mathematical Statistics

For detailed training programs, please download from the Office of Academic Affairs:
https://tao.sustech.edu.cn/xueshengfuwu/pyfa/