Xiamen University

What you'll study

The doctoral programme emphasises original research supported by advanced coursework and seminar participation. Core subject areas include probability theory, asymptotic theory, stochastic processes, statistical inference, multivariate analysis, time series and econometrics, nonparametric and semiparametric methods, survival analysis and biostatistics, and statistical learning and high-dimensional data analysis.

Typical elements of the programme:

• Advanced coursework to consolidate theoretical foundations and specialist methods; students normally select modules according to research direction.
• Research seminars and journal clubs where candidates present work and critique recent literature.
• Comprehensive/qualifying examination or assessment to confirm readiness for independent research.
• Original dissertation research under the supervision of a faculty member; topics frequently cross traditional boundaries (for example, combining statistics with computer science, economics, finance or life sciences).
• Opportunities to assist in teaching or mentoring undergraduate/postgraduate courses and to collaborate on grant-funded projects.

Entry requirements

Applicants are expected to hold a relevant master’s degree (or an exceptional bachelor’s degree) in statistics, mathematics, computer science, econometrics, or a closely related quantitative discipline. Strong preparation in probability, mathematical statistics and linear algebra is normally required.

• A detailed curriculum vitae and academic transcripts showing coursework and research experience.
• A research proposal or statement of research interests that aligns with the expertise of potential supervisors.
• Letters of recommendation from academic referees familiar with the applicant’s research potential.
• Proof of language proficiency where applicable; programmes may be offered in Chinese or English and candidates should satisfy the university’s language requirements for the chosen mode of instruction.
• Prior research outputs (such as publications or technical reports) are advantageous but not always mandatory.

Career prospects

Graduates from a PhD in Statistics commonly move into academic positions (lectureships and postdoctoral research) and research roles in national and international research institutes. Outside academia, career paths include quantitative roles in finance and banking, risk management, actuarial science, data science and machine learning positions in technology companies, and applied statistical work in pharmaceutical and biotechnology firms, public health agencies and government statistical bureaus.

The programme’s emphasis on methodological rigour and applied problem solving also prepares graduates for leadership roles in analytics teams, consultancy, and interdisciplinary research centres.

Why study at Xiamen University

Xiamen University offers a research-rich environment with experienced faculty working across theoretical and applied statistics. The university encourages interdisciplinary collaboration with departments such as economics, computer science, management and life sciences, providing access to diverse applied problems and data sources.

Students benefit from regular research seminars, workshops and national/international collaborations that expose them to current developments and potential collaborators. The campus environment and regional industry links can provide opportunities for internships, joint projects and knowledge exchange with public and private-sector partners.

Supervision is provided by academic staff with active research programmes, and doctoral candidates are supported through structured training, research funding opportunities where available, and pathways to teaching and professional development within the university.