Department of Statistics

The Department of Statistics, which is located in the University’s Fox School of Business and Management, has 15 full-time graduate faculty members and about forty graduate students in its Master’s and Ph.D. programs.

Statistics

Photo of Alter HallOne of the first-established academic departments at Temple University’s Fox School of Business is getting a new name, and is set to introduce a new undergraduate degree program.

The Fox School’s Department of Statistics will soon be rebranded as the Department of Statistical Science. Additionally, the department will unveil a Bachelor of Science degree program in Statistical Science and Data Analytics. Both changes are effective for the 2016-17 academic year, following the approval in March by Temple’s Board of Trustees.

The department had been known as the Department of Statistics since its establishment in 1929, 11 years after the founding of the Fox School.

“Rebranding our department as the Department of Statistical Science reflects the breadth of our department’s academic research, the discipline’s changing landscape, and our department’s renewed focus on engaging in quality research that reshapes the field of statistics and to train new generations of statistically skilled graduates,” said Dr. Sanat K. Sarkar, Chair of the Department of Statistical Science.

The new department name, Sarkar added, is reflective of the discipline’s evolution into one that “develops newer subfields and its interdisciplinary research with scientists in modern scientific investigations involving complex data.”

In Fall 2016, the department will launch its Bachelor of Science undergraduate degree program in Statistical Science and Data Analytics. The demand for the program, said program director Dr. Alexandra Carides, has been driven by the proliferation of computing technology, software, and statistical tools for capturing and interpreting the substantial volume of data now available at the enterprise, government, and personal levels.

The program will qualify students for professions in some of the fastest-growing job sectors, according to Carides.

“The program will provide undergraduate students with the ability to select, utilize, and apply quantitative reasoning and data analytic skills to their future field of study,” said Carides, an Assistant Professor of Statistical Science. “Knowledge of statistical theory and methods has become increasingly important to students in many disciplines. As more data are collected, stored, and analyzed, students are finding it increasingly beneficial to gain expertise in statistical science to strengthen their skills and enhance their career opportunities.”


The Department of Statistics, which is located in the University’s Fox School of Business and Management, has 15 full-time graduate faculty members and about forty graduate students in its Master’s and Ph.D. programs. The Department’s graduate programs provide broad training in statistics and biostatistics, and many of our students gain research experience by means of the many internship opportunities, which are available locally.

The Department of Statistics offers a minor program for the honor students of the Fox School of Business and Management. The intent of the Statistics Minor is to complement any major in the FSBM with a quantitative training based on statistical computing technology.

In addition to training its own graduate students, the Department offers numerous courses to graduate and undergraduate students in business. In addition to teaching, the faculty is engaged in a variety of scholarly activities, including publication of journal articles and books, attendance at professional meetings, and statistical consulting.

Research interests among the faculty include Biostatistics, Bayesian/Empirical Bayesian Statistics, Casual Inference, Data Mining, Experimental Design, Genetics, High Dimensional Statistics, Law, Marketing, Micro Arrays, Multiple Hypothesis Testing, Statistical Decision Theory, Statistical Applications in Finance, Statistical Computing and Graphics, Time Series Analysis.