Objective:

We aim to cultivate graduate students who have good professional ethics and scientific, rigorous, realistic and pragmatic learning attitude and work style; be highly moral, all-round developed, physically and mentally healthy; have a solid and broad grasp of basic theory of computer science and technology, and in-depth expertise of computer systematic structure computer software and theory, computer application technology, computer network and information security; be able to independently engage in scientific research and specialized technical work and achieve innovative results in the fields of computer science theory, computer software, computer hardware, computer system structure, computer application technology, computer network, and information security; be innovative and capable of conducting academic exchanges in a foreign language proficiently.

Curriculum:

Core courses: Mathematical Models, Data Analysis Methodsand R Software, Random Processes, Algorithm Designand Analysis, Object-oriented Technology, Formal Languages and Automata, Information Security Architecture, Artificial Intelligence Principles, Advanced Database Systems, Advanced Software Engineering, Pattern Recognition, Machine Learning, Computer Graphics, Computer Network Security, Computer Network Architecture, Digital Signal Processing, Advanced Operating Systems, Embedded System Design, Data Science Foundation, Answer Set Programming.

Featured Courses: Parallel Computing, Digital Image Processing, Data Miningand Knowledge Discovery, Advanced Cryptography, Operating System Security, Internet Loopholesand Protection, Mathematical Foundationof Information Security, Intelligent Information Search Technology, Access Control Theoryand Practice, Firmware Interface Principlesand Applications, Quantum Information Processing, Multimedia Content Security Technology, Information Theoryand Coding Theory, Advanced Computer Networks, Data Visualization Technology, Introduction to Recommendation Systems, Introduction to Formal Semantics, Model Detection, Trusted Computing Technology, Mobile and Spatial-Temporal Data Management, Spatial Database Principles, Multimedia Big Data Analysis Technology and Application, Software-Defined Network, Uncertain Artificial Intelligence, Internet of Things and Service Computing, Multi-source Information Fusion Technology, Application Technology of Computer Vision, Heterogeneous Parallel Computing.

Career:

After graduation, students can have opportunities to engage in research, education and teaching, design, development, management and service of computer networks, computer applications, software engineering, information security and big data,and other fields inscientific research institutes, universities, information industry, and other enterprises and institutions of public finance, finance, post and telecommunications, transportation, electricity, national defense.