Doctor of Philosophy in Statistics
Gain rigorous training in statistical theories and methods within a collaborative research environment through the Doctor of Philosophy (PhD) in Statistics in Temple University’s Fox School of Business. Prepare to address a variety of societal and scientific challenges using statistical tools and test the boundaries of current statistical knowledge.
Working closely with world-class faculty at Temple University, you’ll acquire
- the ability to undertake original research for peer-reviewed academic publications;
- thorough knowledge of research methodology and its applications;
- an understanding of new statistical methods and how they apply across disciplines; and
- the expertise to communicate statistical knowledge effectively.
The recommended background for Statistics PhD students includes math, computer science or programming, probability, and writing and communication. All applicants must have completed coursework in Differential and Integral Calculus, including Multivariable Calculus, as well as a course in Linear Algebra. Learn more about admissions requirements for PhD applicants.
Throughout the course of the program, doctoral students build a body of research that should make a substantial contribution to the science of statistics. The curriculum provides robust support for your research activities, with dynamic coursework offering flexibility to suit a variety of interests. Department-led seminars, student forums and in-depth academic conference preparation provide collaborative ways to engage with the research process.
Faculty Research Interests
The PhD in Statistics features a dedicated full-time faculty well-versed in a variety of research subjects. Faculty members specialize in research areas including
- Bayesian inference and data analysis,
- causal inference,
- data privacy,
- design of experiments,
- high-dimensional inference and data analysis,
- linear and generalized linear models,
- multiple testing,
- network data analysis,
- pharmaceutical statistics,
- statistical computing,
- statistical learning and data mining,
- statistical methodology and theory,
- sufficient dimension reduction, and
- time series analysis.
Classes & Curriculum
Core courses you will take as part of the Statistics PhD program include
- Advanced Statistical Inference I,
- Advanced Statistical Inference II,
- Probability and Statistics Theory I,
- Probability and Statistics Theory II,
- Statistical Methods I, and
- Statistical Methods II.