Master of Science in Statistics
Master the theory and methods of statistics through a Master of Science in Statistics in the Fox School of Business at Temple University. Learn to apply statistical tools to immediate, complex challenges across contemporary scientific and societal ventures.
Students pursue a program appropriately balanced between theory and methods. Along with a solid foundation in the theory of statistics, you will gain substantial knowledge in statistical methodology and statistical computing. In addition, 18 credits taken toward the completion of the degree will be chosen from graduate business elective courses in consultation with the director of graduate studies.
At the end of the program, students will pass a comprehensive written exam and be prepared for careers as professional statisticians in industry, research organizations or government.
Areas of Study
Possible areas of specialization within the Master of Science in Statistics program include
- most areas of statistical theory and
- operations research.
Faculty members are currently engaged in research in the areas of
- applications of experimental designs,
- approximation theory,
- categorical data analysis,
- clinical trials,
- exploratory data analysis,
- health systems evaluation,
- history of statistics,
- linear models,
- multivariate analysis,
- nonparametric analysis,
- operations research,
- pharmaceutical statistics,
- regression analysis,
- sequential analysis,
- spline smoothing,
- statistical computing,
- statistical inference theory,
- stochastic processes,
- survey sampling and
- time series.
Through classroom study and work with faculty, students will discover their own path toward a statistical research focus.
Classes & Curriculum
Core courses you will take as part of the Master of Science in Statistics program include
- Probability and Statistics Theory I,
- Probability and Statistics Theory II,
- Statistical Methods I and
- Statistical Methods II.
The department also offers a series of courses designed specifically for students who are not enrolled in the statistics program but are interested in gaining comprehensive training in the use of statistical techniques. These courses emphasize applying these techniques to real-life problems in diverse disciplines.