我们的统计学和应用概率博士课程为研究生培养了扩展统计学理论和实践领域的界限，以用于现实世界中的问题解决。毕业生接受过学术或行业职业培训，他们致力于新方法和新技术并为之做出贡献。该程序对统计和概率进行严格的数学培训，可用于开发适用于金融，环境科学，计算机科学和生物医学等广泛学科领域的实际方法。最近的论文已写在平滑样条，空间统计，微阵列分析，功能数据模型，经验过程，数学和统计财务，贝叶斯推断和自举估计方法等领域。
he Department of Statistics and Applied Probability offers a Ph.D. program in which students develop a broad understanding of the theory and practice of probability and statistics. The Ph.D. program prepares students to conduct innovative research, beginning with a solid foundation in course work and leading towards original dissertation research. Research topics lie broadly in stochastic modelling, data science and machine learning, with diverse areas, such as financial mathematics, big data analytics, computational methods, artificial intelligence, biostatistics and probabilistic theory underpinning algorithms and applications. Interdisciplinary collaboration areas include computer science, environmental science, physics, mathematics, biological and biomedical sciences, engineering, and finance.