Doctor of Philosophy (Ph.D.)

Baylor's Ph.D. in statistical science is an ideal degree for those seeking challenging research opportunities in industrial, corporate, or academic settings. The degree requirements include a balance of statistical theory, practice experience, and increasingly important communication skills. Students must complete 75 semester hours, including a statistics core of 27 hours, a consulting-teaching practicum of 3 semester hours, 36 hours of elective courses, and 9 hours of dissertation work. Students must also demonstrate computer proficiency and pass a preliminary examination. A foreign language is not required.

In addition to course work, graduate studens may participate in a variety of stipend-supported practicum experiences. Teaching opportunities range from supporting small group labs to serving as teachers-of-record in the classroom. There are also a myriad of opportunities outside the classroom including field analysis for research projects or data analysis in institutional and government settings. Students provide professional statistical expertise in Baylor University administrative offices, support ongoing human subject clinical trials, and consult with faculty and graudate students from other disciplines.

Statistics Core (27 hours)

  • STA 5353 Theory of Statistics II
  • STA 5365 Topics in Biostatistics
  • STA 5380 Statistical Methods for Research
  • STA 5381 Regression Analysis
  • STA 5383 Introduction to Multivariate Analysis
  • STA 6351 Large Sample Theory
  • STA 6352 Bayesian Theory
  • STA 6382 Theory of Linear Models
  • STA 6384 Categorical Data Analysis
  • Practicum STA 5V85 (3 hours)
  • Dissertation STA 6V99 (9 hours)

Elective Courses (36 hours)

The elective courses may include any statistics course or approved courses in mathematics (MTH), computer science (CSI), economics (ECO), quantitative business analysis (QBA), information systems (ISY), biology (BIO), or psychology (PSY). Note that STA 5V85 does not count as an elective course.