Information and Communication Engineering (081000)
The first-level master's degree program in Information and Communication Engineering encompasses a broad spectrum of information technology fields and is one of the fastest-growing disciplines both domestically and internationally. This program was authorized to confer first-level master's degrees in 2015. It boasts a strong faculty team that has undertaken numerous national, provincial/ministerial, and a large number of enterprise-level R&D projects over the years. Distinctive research features have been formed in areas such as signal processing, communication engineering, artificial intelligence, information security, integrated circuit design, embedded electronic system design, and network information processing. The program emphasizes reform in teaching content and methods, has undertaken several national and provincial/ministerial teaching reform projects, hosts a number of National-Level Elite Courses and Shanghai Municipal Elite Courses, and has received multiple national and Shanghai municipal teaching achievement awards. Relying on units such as the School of Information Science and Engineering, the Department of Electronics and Communication Engineering, the Integrated Circuit Design Institute, and the Information Technology Experimental Teaching Center, the Information and Communication Engineering discipline provides excellent experimental conditions and a conducive working environment for cultivating advanced scientific and technical talents in this field.
I. Educational Objectives
The Information and Communication Engineering master's degree program is dedicated to meeting the specific requirements of national economic and social development for information technology talents. It aims to cultivate high-quality professionals with good academic ethics, solid and broad theoretical foundations, and systematic, in-depth specialized knowledge. Graduates will be able to keep pace with the frontiers of the discipline and possess a good international perspective, have the potential for independent scientific research and technological innovation, exhibit good teamwork spirit and a service mindset, leverage their strengths in fields such as communication system theory and design, intelligent processing of multimedia information, machine learning, deep learning, robotics technology, Internet of Things and embedded electronic systems, and play an active role in various industries including education, science and technology, engineering, and management in the future.
II. Program Duration
The standard duration for the master's program is 3 years, with a maximum study period not exceeding 5 years. The validity period for course grades is 5 years starting from the student's enrollment.
III. Research Directions
1.New-Generation Communication and Signal Processing
2.Image, Video and Audio Information Processing
3.Artificial Intelligence and Machine Learning
4.Internet of Things Technology and Applications
5.Embedded Electronic System Design
6.Network and Information Security
This program covers a wide range of fields, summarized into the above six major directions. Among them, the Signal Processing and Communication Systems direction involves various communication signal processing, signal detection and analysis, communication system principles and architecture, etc. The Computer Vision and Machine Learning direction involves speech and video technology, image processing technology and applications, computer vision systems, artificial intelligence and machine learning, deep learning theory and technology, etc. The Computer Communication Networks and Security Technology direction involves modern communication technology, computer networks, software development and applications, computer network security, etc. The Modern Electronic System Design and Embedded Systems direction involves embedded system software/hardware design and applications, modern electronic system design methods, instrument design and testing methods, modern control system technologies, etc.
Control Science and Engineering (081100)
The first-level master's degree authorization point in Control Science and Engineering at East China University of Science and Technology collaborates with the first-level doctoral degree authorization point in Control Science and Engineering to carry out disciplinary construction and fulfill important tasks such as talent cultivation and scientific research. The Control Science and Engineering discipline at our university originated from the earliest Chemical Industry Automation program in China (1958), was among the first authorized to confer doctoral degrees in 1981, and has been affiliated with a member unit of the Automatic Control Discipline Evaluation Group of the Academic Degrees Committee of the State Council since its second session (October 1985). It was formally approved to establish a first-level discipline doctoral degree authorization point in 2003. In 2012, Control Science and Engineering was approved for construction as a Shanghai First-Class Discipline in Higher Education Institutions (Category B). In 2015, it was approved to participate in the construction of the Shanghai Peak and Plateau Discipline Chemical Engineering and Technology. In 2017, it was approved to participate in ECUST's Double First-Class discipline construction.
Since 1985, this discipline has consistently been a member unit of the Discipline Evaluation Group of the Academic Degrees Committee of the State Council. It has established 10 research bases, including national and Ministry of Education key laboratories, a 111 Intelligence Introduction Base, and an international cooperation joint laboratory. The Ministry of Education Key Laboratory of Advanced Control and Optimization for Chemical Processes and the Ministry of Education Engineering Research Center for Process Systems Engineering have become important bases supporting the cultivation of high-level professionals, high-level scientific research, and the transformation of engineering and technological achievements in China.
The discipline possesses academic and technical leaders with profound academic accomplishments, broad knowledge, and rich practical experience, as well as a group of young and energetic faculty members. It has formed a high-level talent team led by a member of the Chinese Academy of Engineering, including 1 principal investigator of a Basic Science Center Project, 1 recipient of the Ho Leung Ho Lee Foundation Award, 1 Chief Scientist of the 973 Program, 14 recipients of national-level talent program awards, over 60 recipients of provincial/ministerial-level talent awards, and 1 key field innovation team recognized by the Ministry of Science and Technology.
The discipline aims at international academic research frontiers and addresses the major strategic needs of national, regional, and industrial economic high-quality development for intelligent manufacturing, green manufacturing, and high-end manufacturing, solving key scientific and technological problems. It has formed four characteristic and advantageous directions: Optimization and Regulation - Network Collaboration - Intelligent Decision-Making - Safety Traceability. By fully leveraging the advantages of modern information technology, it has developed closely related and mutually supportive main research directions, including Intelligent Hybrid Modeling and Virtual Manufacturing, Intelligent Autonomous Control and Whole-Process Operation Optimization, Intelligent Perception and Network System Collaborative Control, Production Planning and Scheduling System Optimization and Intelligent Decision-Making, and Safety, Environmental Footprint Monitoring and Traceability Diagnosis. It has undertaken a number of important research tasks such as the National 973 Major Program, Key Projects of the National Natural Science Foundation of China, National Science Fund for Distinguished Young Scholars projects, National Science Fund for Excellent Young Scholars projects, major projects of the National 863 Program, and major projects of the National Key Technology R&D Program. In recent years, it has achieved a number of landmark innovative research results and core patent technologies with significant influence at home and abroad in the field of industrial process control and optimization, winning 5 National Science and Technology Progress Awards (Second Class).
For many years, the discipline has cultivated a large number of high-level professional and technical talents for the country, becoming an important base for automation science and technology research and development in China, and cultivating a group of senior specialists at various levels in the automation field.
I. Educational Objectives
This program leverages the discipline's profound heritage, top-tier faculty, and abundant scientific research resources, closely follows international academic frontiers, and aligns closely with major national strategic needs such as intelligent manufacturing. Focusing on the four characteristic directions including Optimization and Regulation and several closely related research directions, it utilizes first-class research bases to undertake major projects. Through systematic cultivation, the program enables students to master solid professional theories and skills, equips them with the ability to solve key scientific and technological problems, and cultivates them into high-level professional and technical talents capable of engaging in R&D, innovation, and management in fields such as industrial process control and optimization.
II. Program Duration
The standard duration for the master's program is 3 years, with a maximum study period not exceeding 5 years. The validity period for course grades is 5 years starting from the student's enrollment.
III. Research Directions
1.Industrial Process Modeling, Control and Optimization
2.Complex Control System Theory and Application
3.Production Planning, Scheduling and Intelligent Decision-Making
4.Fault Detection, Diagnosis and Condition Monitoring
5.Pattern Recognition and Intelligent Systems
6.Robotics and Unmanned Systems
7.Detection Technology and Automatic Devices
8.Power Systems and Their Automation
Computer Science and Technology (081200)
The Computer Science and Technology discipline established its undergraduate program in 1985. It obtained the authority to confer the Master of Engineering degree in Computer Software and Theory in 1990, and in Computer Application Technology in 1996. In 2006, it was authorized to confer the doctoral degree in Computer Application Technology (a secondary discipline) and the master's degree in Computer Science and Technology (a first-level discipline). The discipline achieved first-level doctoral degree conferring authority in Computer Science and Technology in 2020 and established a postdoctoral research station in 2023. The discipline boasts a strong faculty. For many years, it has consistently undertaken national-level scientific research projects such as those funded by the National Natural Science Foundation of China, the National 863 Program, and the National 973 Program, as well as a large number of provincial/ministerial and enterprise-level R&D projects. It has developed distinctive research features and gained extensive domestic influence in areas including Artificial Intelligence, Information Security, Software Engineering, and Network Information Processing. Its research achievements include one National Science and Technology Progress Award (Second Class) and over 30 provincial/ministerial Science and Technology Progress awards. Emphasizing reform in educational content and methods, the discipline has undertaken several national and provincial/ministerial teaching reform projects, hosts 3 National-Level Elite Courses and 3 Shanghai Municipal Elite Courses, and has received 3 National Teaching Achievement Awards (Second Class) and over 10 Shanghai Municipal Teaching Achievement Awards. Relying on units such as the Department of Computer Science and Engineering, the Institute of Computer Technology, and the Information Technology Experimental Teaching Center, the Computer Science and Technology discipline provides excellent experimental conditions and a conducive working environment for cultivating advanced scientific and technical talents in this field.
I. Educational Objectives
This discipline aims to meet the needs of national economic construction and social development for computer science and technology professionals. It cultivates master's students who achieve well-rounded development in morality, intelligence, physical fitness, aesthetics, and labor skills, possessing a strong sense of social responsibility, sound psychological quality, rigorous research ethics, and a spirit of teamwork. Students will study and master fundamental theories such as Marxist theory and Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, gain a systematic and in-depth understanding of the fundamental theories and professional knowledge within the discipline of computer science and technology, stay abreast of the latest developments and trends in the field, master one foreign language, and acquire the ability to independently engage in scientific research or undertake specialized technical work. They are cultivated to become high-level specialized talents capable of making innovative contributions in teaching, scientific research, or specialized technical roles.
II. Program Duration
The standard duration for the master's program is 3 years, with a maximum study period not exceeding 5 years. The validity period for course grades is 5 years starting from the student's enrollment.
III. Research Directions
1.Artificial Intelligence and Machine Learning
2.Trustworthy Software and Systems
3.Big Data Analysis and Applications
4.Large-Scale Parallel and Evolutionary Computing
5.Smart Education
6.Software Engineering
7.Large-Scale Theory and Applications
8.Database Technology
9.Industrial Software
