Research Focus
The PhD programme in Computer Science and Engineering focuses primarily on core research areas including artificial intelligence and machine learning, computer vision and natural language processing, data science and big data analytics, networks and distributed systems, software engineering and programming languages, cybersecurity and privacy protection, human-computer interaction and intelligent systems, and high-performance computing. The programme emphasises rigorous experimental research, theoretical modelling and interdisciplinary approaches to explore algorithmic principles, the operating mechanisms of computing systems, and the optimisation and innovation of technology in practical applications. Research also attends to the interactions among computing systems, software architecture and data flows, integrating algorithm design, system implementation and application scenarios, and incorporating scalability, reliability and security into the analytical framework. At the same time, the programme examines how artificial intelligence, cloud computing, edge computing and data-driven technologies are reshaping traditional computing models and industry applications, exploring innovative pathways for technology in diverse settings such as healthcare, finance, intelligent manufacturing and social services.
Programme Structure and Funding
This programme is a full-time PhD programme with a duration of 5 years. Tuition is approximately RMB 100,000 per year, and tuition plus all related fees total approximately RMB 500,000 per year. Location of study: United States. For spring entry, the application deadline is 1 October of the previous year (full scholarship). For autumn entry, applicants are advised to apply for scholarships by 14 November; the deadline for applications without a scholarship application is 15 December.
Entry Requirements
· Academic background: A bachelor’s or master’s degree in a computer science-related field. For autumn entry, GPA ≥ 3.2/4.0; for spring entry, GPA ≥ 3.6/4.0. · Language requirements: TOEFL no lower than 79, with no individual section below 19; IELTS no lower than 7.0. A degree obtained in an English-speaking country may exempt the applicant from the language requirement.
Application Materials
- Academic CV (no more than two pages) 2) Three letters of recommendation (submitted online by the referees) 3) Degree certificates and transcripts 4) Language test score reports 5) Research proposal
Career Prospects
Under systematic supervision by their supervisors, doctoral students will gain an in-depth command of algorithm design, computer system architecture, artificial intelligence and machine learning, data analysis, and software engineering and system development methods, and will develop comprehensive research capabilities spanning computer science, engineering, information science and applied fields. Graduates have broad prospects for development in the following areas:
● Universities and research institutions: undertaking academic research and teaching in computer science, artificial intelligence, data science, cybersecurity, software engineering and related directions, and becoming lecturers, assistant professors or independent research scholars at research universities.
● Research institutions and laboratories: undertaking frontier computing technology research, system development, algorithm optimisation and technology transfer at national or international research centres, laboratories and industrial R&D institutions.
● Technology enterprises and entrepreneurship: undertaking R&D, product design, system architecture, data analysis and technology innovation roles at software development companies, artificial intelligence enterprises, cloud computing and big data platforms, healthcare information and fintech companies.
● Computer data and intelligent systems roles: undertaking algorithm development, system optimisation, data modelling and intelligent decision support work in positions related to data science, artificial intelligence applications, machine learning engineering, cybersecurity, intelligent manufacturing and high-performance computing.
Through systematic academic training and interdisciplinary research, doctoral students will acquire a solid foundation in computer science and engineering theory, experimental skills and data analysis capabilities, and will cultivate independent research thinking, technological innovation and interdisciplinary collaboration skills, laying a firm foundation for future development in academia, research, industry and technological innovation.
