We offer two distinct programs of study for our graduate students. We also offer two additional dual degrees that can be obtained in conjunction with a degree in Statistics.
The statistics program provides students with a strong foundation in statistics and the broad skills to prepare them for advanced study in statistics or employment in industry and government.
Choose the online Applied Statistics Graduate Program that fulfills your goals. Penn State World Campus offers both an online master's degree and a graduate certificate in applied statistics.
The demand for trained statisticians continues to increase as the world becomes more dependent on predictive data and numerical reasoning. With a Master of Applied Statistics degree you can advance your career in almost any field, including education, science, technology, health care, government, or business.
After a long hiatus, the Department of Statistics newsletter is back!
How do scientists study climate, and how do they make projections about future climate? What is the role that statistics plays in climate science? Murali Haran provides answers to these questions.
Ephraim Hanks examines animal movement GPS data and how they define population-level structure, connectivity, and fitness.
The Statistics Faculty have achieved global recognition for research in biostatistics, climate change, and genetics.
The SCC provides statistical advise and support for Penn State researchers, members of industry and government in the areas of: Research Planning, Design of Experiments and Survey Sampling, Statistical Modeling and Analysis, Analysis Results Interpretation, Advice
CTSI Biostatistics, Epidemiology and Research Design Center offers one-stop service for researchers who need study design, biostatistical and data management expertise. We provide Penn State researchers with a full range of biostatistical expertise and service.
The Center serves as a crossroads where researchers at the interfaces between statistics, data analysis, astronomy, space and observational physics collaborate, develop and share methodologies, and together prepare the next generation of researchers.
October 30, 10:10 am - October 30, 11:00 am
November 3, 4:00 pm - November 3, 5:00 pm
November 5, 3:30 pm - November 5, 4:30 pm
SMAC Talk - Statistical challenges and opportunities in the analysis of lab-generated neutral evolution protein dataNovember 6, 10:10 am - November 6, 11:00 am