STATISTICAL SCIENCE The Department of Statistical Science at Baylor University provides graduate students with a balanced education of statistical theory and applications of statistical methods while promoting communication skills. In our program, we strive to develop well-rounded statisticians through meaningful mentorships, diversified educational experiences, and scholarly research methods and opportunities.
Program Options Statistical Science offers two degrees, the Master of Science (MS) and the Doctor of Philosophy (PhD). Our primary degree is the PhD, so we encourage students to continue in our program after earning their MS.
Research Highlights Our department is known for its advanced research in Bayesian statistics, but we are also proud of the collaborative research conducted by our faculty and students in scientific fields. In the last three years, our students have had internships with companies and organizations such as Johnson & Johnson, Baylor Scott & White Health, and STEEP Analytics. We have also received research funding from Eli LIlly & Co. and grants from multiple prominent organizations. Consulting work for Baylor and other departments provides our students with experience and exposure to a wide range of specific fields, varying from biological to social sciences.
Faculty n Master of Science (MS) This option requires 33 graduate hours, including 12 statistics core hours, 18 approved elective hours, and a 3-hour practicum attained through serving as a teaching assistant or a research data analyst. Students must also pass an oral exam to obtain this degree. n Doctor of Philosophy (PhD) This degree requires 75 graduate hours, which includes 27 statistics core hours, a consulting-teaching practicum of 6 hours, 33 approved elective hours, and 9 hours of dissertation work, followed by a successful dissertation defense. Currently, we are able to offer all of our students full tuition payment and a competitive stipend.
Career Opportunities The occupation of statistician is one of the top 10 fastest growing jobs in the U.S. With an advanced degree in statistics, students can choose careers in corporate, industrial, or academic settings. Many of our alumni now work as research scientists and analysts for companies like Eli Lilly & Co. or as biostatisticians for research organizations, such as the FDA, the Mayo Clinic, and Baylor Scott & White Health. Many others have become successful with careers in academics through teaching and researching.
Our faculty is comprised of talented professors who are active contributors and leaders in their fields, as evidenced by their consistency of quality publications in scholarly journals. Their individual accomplishments range from work and presentations on software to receiving research grants from such prestigious foundations as the National Science Foundation (NSF). *See back for list of faculty
Contact Alissa Wiseman | Graduate Program Coordinator Department of Statistical Science One Bear Place #97140 | Waco, TX 76798 254-710-2264 | Email: Alissa_Wiseman@baylor.edu baylor.edu/statistics
STATISTICAL SCIENCE GRADUATE FACULTY JANE L. HARVILL, PHD
DAVID KAHLE, PHD
JOON JIN SONG, PHD
Professor
Assistant Professor
Associate Professor
Time Series and Spatial Statistics
Statistical Computing and Graphics
Spatial Statistics
Environmental Statistics
Algebraic Statistics
Functional Data Analysis
Computational Methods
Bayesian Computation
Bioinformatics
AMANDA S. HERING, PHD
AMY B. MADDOX, PHD
JAMES D. STAMEY, PHD
Associate Professor
Senior Lecturer
Graduate Program Director
Spatial and Space-Time Modeling
Multivariate Analysis
& Professor
Multivariate and Cluster Methods
Sampling
Bayesian Theory and Methods
Outlier and Anomaly Detection
Regression Analysis
Application to the Environment and
Statistical Methodology
Engineering
JOSHUA D. PATRICK, PHD
JACK D. TUBBS, PHD Department Chair & Professor Pattern Recognition
JEANNE S. HILL, PHD
Lecturer
Ranked Data
Director of Undergraduate Studies
Time Series Analysis
Interdisciplinary Research
& Senior Lecturer
Spatial Data Analysis
Statistical Inference
Nonparametric Regression
Ranking and Selection Reliability
JOHN W. SEAMAN, JR., PHD Professor
DENNIS A. JOHNSTON, PHD Professor Mathematical Statistics Biostatistics
Bayesian Analysis
DEAN M. YOUNG, PHD Professor Mathematical Statistics Computational Statistics Multivariate Statistical Analysis Pattern Recognition