Probability and Mathematical Statistics

    Normal Period(Full-Time)-PhD Degree: 48 months

    Normal Period(Full-Time)-MPhil Degree: 24 months


    RMB 90000/year


    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.

    Language Requirements:

    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 results of TOEFL-iBT Home Edition or IELTS Indicator will not be considered.

    TestMinimum requirement
    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(tentative)*

    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.

    Regular Studentship (including tuition fee) through normal study period

    RMB 15,800per month (including tuition fee) for PhD studies;

    RMB 13,500per month (including tuition fee) for MPhil studies;

    • The studentship will commence on the same date as you commence your studies.

    • During the awarded period, students will shall serve as teaching assistant or research assistant subject to the arrangement of Faculty/School and/or their supervisor concerned. Their workload is up to 10 hours per week, maximum number of work hours capped at 300 hours per year.

    Studentship will be effective from 2024 cohort RPg students subject to the final approval by related Committee(s)

    b) 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.


    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.Curriculum vitae;

    6.Copy of ID card (Two sides) / Copy of passport for non-Chinese;

    7.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

    (Kindly be reminded that the cut-off date of research programme in UIC application system is 31 May for 2024 fall intake.)


    Name(English) Name(Chinese) Field of Study Email
    Prof. Jianxin PAN 潘建新 Statistics and Data Science
    Prof. KaiTai FANG 方开泰 Applications of Number-theoretic Methods in Statistics, Data Science, Multivariate Analysis, Experimental Design, Distribution Theory
    Prof. Terry Huajun YE 叶华军 Statistics Modelling, Statistics Inference, and Finance Risk Management
    Prof. Ivan Yuhui DENG 邓宇辉 Data Mining, Machine Learning, Experimental Design, Financial Time Series and Granular Flow
    Dr. Jiajuan LIANG 梁家卷 Goodness-of-fit techniques; high-dimensional data analysis; generalized multivariate analysis; structural equation modeling; representative points and their applications
    Dr. Xiaoling PENG 彭小令 Multivariate Analysis, Medical Statistics, Data Mining, Experimental Design
    Dr. Ping HE 贺平 Data Mining (especially in health and medical data analysis and chemical spectrogram analysis); Statistical Simulation; Experimental Design
    Dr. Dennis Chin-Wing CHEUNG 张展荣 Optimization and numerical analysis
    Dr. Zhengjun JIANG 姜正军 Statistics/Actuarial Science, Mathematical Finance (Derivative Pricing; Volatility Modeling), Data Analytics, Risk Management
    Dr. Ahmed Abdelnabi Mohamed Elsawah / Outlier Detection; Machine Learning; Time Series Analysis; Asymptotic Behavior; Representative Points; Design of Experiments; Minimum Energy Points; Estimation and Prediction
    Dr. Timothy Jingjin WU 吴京津 Telecommunication Networks, Performance Evaluation, Heuristic Algorithms, Resource Allocation, Dynamic Optimization
    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 Communications
    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 Epidemiology
    Dr. Qiong LI 李琼 graphical models, large sample theory and statistical computing
    Dr. Fang XIE 谢芳 Deep Learning, High-dimensional Statistics
    Dr. Zhijian LI 黎志健 Semiparametric theory, Nonparametric regression, Statistical machine learning
    Dr. Bohai ZHANG 张博海 Spatial/Spatio-Temporal Statistics, Bayesian Statistics, Machine Learning, Remote Sensing
    Dr. Min ZHOU 周敏 Statistical inference, variable selection, asymmetric statistical learning, non-parametric statistics, representative points of statistical distribution