Applied Mathematics

    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 Applied Mathematics offers an interdisciplinary program of graduate study in applied mathematics leading to the Ph.D. degree. This program is designed to give students a thorough training in fundamental applied mathematics and to develop their research ability in a specific application field. The fields of application include a wide range of areas such as fluid mechanics, materials science, and mathematical biology, engineering applications, image processing, and mathematical finance. The training essential for future careers in applied mathematics in academia, national laboratories, or in industry is provided by completion of the requirements for a Ph.D. degree in applied mathematics.


    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. Tao TANG 汤涛 Numerical Solution of Partial Differential Equations, Numerical Analysis, Computational Mathematics
    Prof. Hua Xiong HUANG 黄华雄 Mathematical Modeling and Scientific Computing, Financial and Industrial Mathematics, Biomathematics, Fluid Mechanics
    Prof. Weiwei SUN 孙伟伟 Computational/applied Mathematics
    Prof. Qiang ZHANG 张强 Mathematical finance, Fluid dynamics, Scientific computing, Granular materials, and Physics
    Prof. Yana DI 邸亚娜 Numerical PDE
    Prof. Yuliang WANG 王玉亮 Inverse Problems, Computational Mathematics, Mathematical Modeling
    Prof. Jianglun WU 吴奖伦 Analysis and Numerical Aspects of Stochastic Partial Differential Equations Arising from Mathematical Physics, Modelling and Simulations of Stochastic Processes and Random Fields, Financial Mathematics and Economics
    Dr. Sicong ZHANG 张思聪 Symplectic and contact topology
    Dr. Peng JIN 金鹏 Probability Theory, Mathematical Finance, Affine Processes and Their Financial Applications, Stochastic Differential Equations, Long-time Behavior of Markov Processes
    Dr. Sherry Zhefang ZHOU 周哲芳 Financial Econometrics, Time Series Analysis, and Applied Statistics
    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 Computing
    Dr. Xiaoyi CHEN 陈小宜 Solid Mechanics, Soft Matter, Rod/Plate/Shell Theory, Biomechanics
    Dr. Xucheng MENG 蒙许成 Computational Fluid Dynamics, Numerical Methods for Partial Differential Equations
    Dr. Wei ZHANG 张未 Numerical methods for differential equations with emphases on artificial boundary methods and nonlocal models
    Dr. Xiaofeng CAI 蔡晓峰 Computational Fluid Dynamics
    Dr. Fan BAI 白帆 Mathematical Biology (Population Dynamics and Mathematical Epidemiology), Stochastic Processes and the applications in Biology and Epidemiology
    Dr. Chen WANG 王辰 Geophysical and Astrophysical Fluid Dynamics, Waves and Instabilityies in Fluids, Asymptotic Analysis
    Dr. Jiaqi ZHANG 张嘉琪 Computational fluid mechanics, Fluid structure interaction, High performance computing
    Dr. Tianhao ZHI 智天皓 Quantitative Finance, Banking Theory, Non-linear Economic Dynamics, Intellectual Property Valuation, Chinese Economy
    Dr. Nicolas LANGRENÉ 尼古拉 拉萼尼 Computational Statistics, Quantitative Finance, Stochastic Control, Machine Learning
    Dr. Wonjung LEE / Nonlinear stochastic behavior of physical systems, Wave turbulence, Data assimilation, Rough path based numerical algorithm, Physics-informed machine learning
    Dr. Chiu Fai WONG 王朝辉 Algebraic Geometry
    Dr. Shumin MA 马淑敏 Data-driven financial technology, Robust optimization, Financial risk management, Machine learning algorithms