Programme Structure and Funding
This is a full-time PhD programme with a duration of 5 years. Tuition is approximately RMB 100,000 per year, and tuition together with all related costs totals 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 not requiring a scholarship 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 lower than 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
Application Period
Spring: 1 August–31 August; Autumn: 1 October–15 December
Career Prospects
Under the systematic training of their supervisor, 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 possess comprehensive research capabilities spanning computer science, engineering, information science and application domains. Graduates have broad development prospects in the following areas:
● Universities and research institutions: undertaking academic research and teaching in computer science, artificial intelligence, data science, cybersecurity, software engineering and other directions, becoming lecturers, assistant professors or independent research scholars at research-oriented 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 innovation and entrepreneurship: undertaking R&D, product design, system architecture, data analysis and technological 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 roles 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 theoretical foundation in computer science and engineering, experimental skills and data analysis capabilities, and will cultivate independent research thinking, technological innovation and interdisciplinary collaboration abilities, laying a solid foundation for future development in academia, research, industry and technological innovation.
