Undergraduate

Computer Science and Technology

This discipline is to cultivate individuals who can adapt to the rapid development needs of the country's economy and information technology. They should have good political qualities, moral cultivation, a strong sense of career dedication and social responsibility, excellent communication skills, teamwork spirit, and organizational management abilities. They should possess an international perspective, innovative spirit, self-learning, and lifelong learning capabilities. These individuals should be able to systematically apply the foundational theories and professional skills of this major to analyze and solve complex engineering problems. They should be capable of working in the design, development, maintenance, management, and scientific research of complex computing systems in computer-related industries and research institutions, making them advanced engineering and technical talents in computer science and technology.

Main Courses: C Language Programming, Discrete Mathematics, Circuits and Electronics Technology, Digital Electronics Technology, Object-Oriented Programming, Data Structures, Computer Organization and System Architecture, Operating Systems, Computer Networks, Database System Principles, Algorithm Analysis and Design, Compiler Principles, Artificial Intelligence, Cloud Computing, High-Performance Computing, Pattern Recognition and Machine Learning, Big Data Analysis, Natural Language Processing, etc. Students can choose one of the professional directions, including Computer Science, Computer Application Technology, Computer System Architecture, and Networks.

Career choice: Graduates of this major have high industry recognition, strong professional matching, excellent core competitiveness, and strong salary benefits, with a professional relevance rate of 97.6%. In recent years, the employment rate of this major has remained stable at around 95%, with nearly 40% of graduates pursuing further studies. Among them, 50% of postgraduate students enter prestigious universities such as Nanjing University, Zhejiang University, Tongji University, and the University of Science and Technology of China. The main destinations for overseas study include Carnegie Mellon University, the University of Edinburgh, the University of Hong Kong, and the Hong Kong Polytechnic University. In terms of employment, over 60% of graduates are employed by Fortune 500 companies or high-tech enterprises such as Alibaba, Tencent, and Baidu, with approximately 75% of graduates working in the Yangtze River Delta region.

Graduates can work in information industry enterprises and institutions, as well as in artificial intelligence and Internet of Things-related industries, engaging in the design, development, maintenance, and management of complex computer application systems. They can also pursue careers in scientific research in computer-related fields in domestic and foreign higher education institutions and research institutes.

Digital Media Technology

This discipline aims at cultivating students with solid foundational knowledge, innovative spirit and capabilities, broad professional perspectives, who can meet the future development needs of the digital media and cultural creative industries. Students will master the knowledge and skills in the field of digital media, including mathematical and physical foundations, software theory, and specialized knowledge in digital media, helping them develop and design digital media and internet application systems. Students will have the ability to adapt to the evolving demands of the industry, track international cutting-edge trends, and become advanced composite talents in digital media technology with good scientific qualities and humanistic artistic cultivation.

Main Courses: Object-oriented programming, data structure, algorithm design and analysis, operating systems, computer networks, principles of database systems, software engineering, Linux environment programming, natural language processing, computer graphics, digital image processing technology, computer vision, machine learning, artificial intelligence, virtual reality, human-computer interaction technology, interactive media technology, game programming, data visualization, image art, basic modeling, three-dimensional images, and innovative computational foundations of digital media, etc.

Career choice: Graduates can engage in new product development, system management, and innovative design work that combines digital media technology and artistic creativity. They also have a good foundation for further study at the graduate level. The main employment destinations for students include: 1) domestic and foreign universities (such as Peking University, Tsinghua University, Zhejiang University, Nanjing University, University of Science and Technology of China, University of the Chinese Academy of Sciences, as well as overseas universities such as New York University, Hong Kong Baptist University, University of Nottingham in the UK) to pursue master's and doctoral degrees; 2) top IT companies such as NetEase, Tencent, Baidu, etc., to work in software development; 3) enterprises and institutions like China Mobile, ICBC, etc., to engage in the development, maintenance, and management of smart information systems; 4) top internet companies to work in product development.

Artificial Intelligence

This discipline aims to cultivating students with a solid foundation in mathematical theory and computer science, equipped with the professional theories and model methods of artificial intelligence, innovative thinking, AI mindset, broad professional vision, and the ability to adapt to the future development needs of the artificial intelligence industry and cutting-edge fields. Students will master knowledge and skills in information science, cognitive science, digital image processing, pattern recognition, machine learning, natural language processing, and other fields. They will possess good scientific experimental literacy and research and development capabilities, be able to comprehensively apply their knowledge and skills to analyze and solve practical problems, and be capable of adapting to the international competition as advanced compound talents.

Main Courses: Programming, Discrete Mathematics, Computer Organization Principles, Data Structures, Operating Systems, Computer Networks, Probability Theory and Mathematical Statistics, Database System Principles, Software Engineering, Introduction to Artificial Intelligence, Machine Learning, Pattern Recognition, Computer Vision, Computer Graphics, Natural Language Processing, Optimization Theory and Methods, Algorithm Design and Analysis, Data Visualization, Robotics and Autonomous Systems, etc.

Career choice: Students majoring in artificial intelligence have high industry competitiveness and employment salary levels. The main employment directions for students are: 1) continuing to pursue master's and doctoral degrees in domestic and foreign universities; 2) working in enterprises and institutions engaged in intelligent algorithm design and application; 3) engaging in the development, maintenance, and management of intelligent systems in enterprises and institutions; 4) working in AI research institutions on algorithm innovation.