In addition to the general qualifications required for admission to the M.Phil.-Ph.D. Programme, applicants should have a good honours degree in a related field. All applicants must also fulfil the “English Language Proficiency Requirement” as stipulated by the Graduate School before being considered for admission. For further details, please visit the Graduate School website at http://www.gs.cuhk.edu.hk/
M.Phil. Stream | |||
Coursework Requirement
(a) Lecture courses: (Both full-time and part-time) |
Students are required to complete a minimum of 42 units for graduation, including a minimum of 18 units of lecture courses and 24 units of thesis research courses. Below is the breakdown for the suggested study scheme:
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Coursework Requirement
(b) Thesis research/monitoring courses: |
Ph.D. Stream | |||
(a)
Pre-candidacy requirements |
In addition to the 24 units of lecture courses, students are required to take thesis research course every term till they graduate. The requirements are enumerated as follows:
The “candidacy requirement” composes of three major parts, namely, coursework requirement, candidacy examination, and thesis proposal (and oral defense). Students must complete and fulfill all three parts within the “maximum period for fulfilling candidacy requirements”:
(i) Lecture courses:
(Both full-time and part-time)
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(b)
Candidacy/Qualifying Examinations |
Students are required to take and pass a written examination by the end of the first year from entry. A second attempt is allowed, but it must be taken before the end of the third term from first entry. If the students fail the second time, they should be discontinued from the studies. The written examination materials include: STAT5005, STAT5010, STAT5020 and STAT5030.
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(c)
Requirements for Ph.D. candidates |
Applicants can submit applications via the Internet through Online application. Paper application forms are also obtainable at the Graduate School Office,7th Floor, Yasumoto International Academic Park, The Chinese University of Hong Kong, Shatin, N.T.)
Completed application forms and required support documents should be returned to the relevant divisions, as specified in the “Notes for Applicants” of the application form. All supporting documents, including transcripts from the universities attended by the applicants and confidential recommendations from two referees, must reach the relevant divisions before the application deadline.
Applicants who apply via the Internet: Online application, should quote the “Application No.” generated for their applications when they send the hardcopies of their supporting documents to the Graduate Divisions. For the list of required support documents, please refer to the Graduate School Homepage http://www.gs.cuhk.edu.hk/page/ApplicationforAdmission
For applicants who apply for Ph.D. programme through the Hong Kong Ph.D. Fellowship Scheme (HKPFS), which carries a lot of benefits, the application deadline for submission of initial application to RGC is: By 12 noon, 1 December 2022 (Hong Kong time); and that for submission of full application to CUHK is: By 5 pm, 1 December 2022 (Hong Kong time). Please visit http://www.rgc.edu.hk/hkphd for further information.
For applicants who apply for M.Phil./Ph.D. programme directly with CUHK (i.e. non-HKPFS applicants), the application deadline for Main Round is 1 December 2022, and that for Clearing Round is 31 March 2023, for joining us in the August 2023 (Applications in Clearing Round will only be considered subject to availability of places).
General enquiries can be submitted to
Ms Esther Tam
Tel: (852) 3943-7931
Fax: (852) 2603-5188
Email: esthertam@cuhk.edu.hk
- Asymptotic Theory
- Statistical Computing and Machine Learning
- Big Data Analytics
- Latent Variable Models
- Time Series and Econometrics
- Actuarial Science and Risk Management
- Biostatistics and Bioinformatics
- Other Interdisciplinary Research
- Overseas Research Award for Ph.D. in Statistics Students
- Best Teaching Assistant Award for Graduate Students in Statistics
- Research Postgraduate Student Grant for Conferences
- Research Achievement Award for Graduate Students in Statistics
- Research Exploration Award for Graduate Students in Statistics