Students shall commence studies in fall. Spring enrollment will only be opened to students under special circumstances, each case will be considered on individual merits.
The research postgraduate program in Statistics aims to develop student's deep understanding, insight and creativity. Graduates will have a broad and solid mathematical foundation; in-depth professional knowledge of probability and statistics; proficient computer skills with popular mathematical and statistical software and its applications. Upon successful completion of this program, students will be able to conduct independent research thoroughly, furthering innovation in scientific and technological fields.
The international education and employment experience of the scholars in this statistic programme is prominent, our team are specialize in differing research fields, including multivariate statistics, high-dimensional data analysis, time series, machine learning, experimental design and many others. To facilitate the robust research, the statistics programme is equipped with a state of the art computer lab, complete with the latest software; which are capable of performing huge and intense computations.
Applicants seeking admission to the PhD programme should possess:
a) a master's degree from a recognised university or comparable institution; or
b) a bachelor's degree with first class honours from a recognized university or comparable institution, whom should demonstrate strong evidence of research achievement/experience; or
c) any other qualification deemed by the Graduate School to be acceptable for this purpose, whom may be required to take an admission exam.
Applicants seeking admission to the MPhil programme should possess:
a) a bachelor's degree with Honours from a recognized university or comparable institution; or
b) a qualification deemed to be equivalent; and shall, if required, satisfy the examiners in an admission exam.
Applicants whose first language is not English, or previous degrees not obtained with English as medium of instruction are required to prove their language abilities by means of performance in any one of the tests below:
|Test of English as a Foreign Language (TOEFL)|
79 (Internet-based Test)
Reading, Listening and Speaking≥18; Writing≥19
|International English Language Testing System (IELTS)|
Reading, Listening, Speaking and Writing ≥ 5.5
|College English Test Band 6 (CET 6)||500 and grade B in the CET-SET (Speaking English Test)|
For MPhil programme students:
Minimum of 12 units of coursework (including three units of Mandatory Common Core Courses).
For PhD programme students:
Minimum of 22 units of coursework (including three units of Mandatory Common Core Courses). Applicant with a relevant Master's degree may be exempted from 3 units of coursework.
All course and instructions will be delivered in English.
Both MPhil and PhD students need to achieve a minimum GPA score of 2.67 to be considered satisfactory fulfilment of coursework requirement.
To enable research postgraduate students to focus on their studies and facilitate their research endeavors and professional development, financial support will be offered based on academic merit and/or experience. In return, students may be required to assist in teaching and research work, also as a supplement to their courses of studies.
a) Studentship and Stipend
Studentship is intended to help cover daily subsistence, tuition fees and other expenses that research postgraduate students may incur during their study. Stipend is offered to selected number of students who demonstrate outstanding performance.
Full Studentship with stipend
Full tuition waiver with a yearly stipend of RMB 96,000 (RMB 8,000 per month) for PhD student; RMB 72,000 (RMB 6,000 per month) for MPhil student. Student has to act as Teaching Assistant (TA) to earn this living stipend. The workload is up to 10 hours per week, maximum number of work hours capped at 300 hours per year. The supervisors may provide other subsidies if the student acts as Research Assistant (RA).
Half Studentship with stipend
Half tuition waiver (i.e. half of the tuition is waived). Student has to act as TA to earn a yearly stipend of RMB 96,000 (RMB 8,000 per month) for PhD student; RMB 72,000 (RMB 6,000 per month) for MPhil student. The workload is up to 10 hours per week, maximum number of work hours capped at 300 hours per year. The supervisors may provide other subsidies if the student acts as RA.
b) Visiting Scheme
This scheme aims at encouraging students to stay at HKBU to take coursework and undertake research as part of their thesis work. The allowances for each of MPhil and PhD students are HKD 3,000 per month for a maximum stay of 6 months.
c) Research Allowances
Both PhD & MPhil students are entitled research allowances to cover 1) research-related travel; 2) conference attendance; 3) data collection; 4) purchase of books and other research materials not available at UIC Learning Resource Centre.
HOW TO APPLY
You need to prepare the below documents:
1.Research proposal (in English)
2.Certificate of Bachelor Degree and/or Master Degree
3.Official transcripts (undergraduate and/or postgraduate)
4.English proficiency test reports (TOEFL, IELTS or CET 6)
5.Copy of ID card (Two sides) / Copy of passport for non-Chinese
6.Any other supporting documents (publications, awards, patent, etc.)
Note: Please contact and communicate with your proposed supervisors before submitting your application to ensure the smooth progress of your application.
Apply Now (The application for the Fall of 2022-23AY entry has been closed)
|Name（English）||Name（Chinese）||Field of Study|
|Prof. Jianxin PAN||潘建新||Statistics and Data Scienceemail@example.com|
|Prof. KaiTai FANG||方开泰||Applications of Number-theoretic Methods in Statistics, Data Science, Multivariate Analysis, Experimental Design, Distribution Theoryfirstname.lastname@example.org|
|Dr. Terry Huajun YE||叶华军||Statistics Modelling, Statistics Inference, and Finance Risk Managementemail@example.com|
|Dr. Jiajuan LIANG||梁家卷||Goodness-of-fit techniques; high-dimensional data analysis; generalized multivariate analysis; structural equation modeling; representative points and their firstname.lastname@example.org|
|Dr. Xiaoling PENG||彭小令||Multivariate Analysis, Medical Statistics, Data Mining, Experimental Designemail@example.com|
|Dr. Ping HE||贺平||Data Mining （especially in health and medical data analysis and chemical spectrogram analysis）; Statistical Simulation; Experimental Designfirstname.lastname@example.org|
|Dr. Dennis Chin-Wing CHEUNG||张展荣||Optimization and numerical email@example.com|
|Dr. Ivan Yuhui DENG||邓宇辉||Data Mining, Machine Learning, Experimental Design, Financial Time Series and Granular Flowfirstname.lastname@example.org|
|Dr. Eva Aihua ZHANG||张爱华||Actuarial Science, Financial Mathematics, Data Analysis, Financial Economics, Bayesian Machine Learningemail@example.com|
|Dr. Shuang CANG||苍爽||Digital Healthcare and Wellbeing, Ageing Society & Impact Study & Forecastingfirstname.lastname@example.org|
|Dr. Zhengjun JIANG||姜正军||Statistics/Actuarial Science, Mathematical Finance (Derivative Pricing; Volatility Modeling), Data Analytics, Risk Managementemail@example.com|
|Dr. Ahmed Abdelnabi Mohamed Elsawah||/||Outlier Detection; Machine Learning; Time Series Analysis; Asymptotic Behavior; Representative Points; Design of Experiments; Minimum Energy Points; Estimation and Predictionfirstname.lastname@example.org|
|Dr. Timothy Jingjin WU||吴京津||Telecommunication Networks, Performance Evaluation, Heuristic Algorithms, Resource Allocation, Dynamic Optimization||Jingjinwu@uic.edu.cn|
|Dr. Xinwei DU||杜新炜||Carrier Recovery of Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM, Bayesian Filtering, Maximum Likelihood Synchronization Algorithms Design for Wireless/Optical Communicationsemail@example.com|
|Dr. Chuoxin MA||马绰欣||Medical Image Analysis, Genetics Data Analysis, Functional Data Analysis, Time-to-event Data Analysis, Longitudinal Data Analysis, Measurement Error and Missing Data, Statistical Methods in Epidemiologyfirstname.lastname@example.org|
|Dr. Qiong LI||李琼||graphical models, large sample theory and statistical email@example.com|
|Dr. Fang XIE||谢芳||Deep Learning, High-dimensional Statisticsfirstname.lastname@example.org|
|Dr. Jude Shengxin ZHU||朱圣鑫||Math Foundation of Data Science and AI: Approximation & Learning Theory, Big Data Analytics and Compression, Computational Statistics & Optimization, Numerical Algebra & High Performance Computingemail@example.com|
|Dr. Zhijian LI||黎志健||Semiparametric theory, Nonparametric regression, Statistical machine firstname.lastname@example.org|