University of Pittsburgh
Department of Statistics
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Overview

Masters Degree in Applied Statistics
 

Masters Degree in Applied Statistics

The Master of Arts and Master of Science degrees in Applied Statistics provide students with the necessary background to seek employment in statistics or a related field. The degree programs provide training in applied statistics and consulting, as well as in the theory of statistics pertinent to applications. In addition, the student is required to study an approved area outside of statistics at the graduate level. These areas can include numerical analysis, biostatistics, education, economics, sociology, psychology, biology and business.

Prerequisites:

  • three semesters of calculus
  • linear algebra
  • year of mathematical statistics (equivalent to STAT 1151-1152)

Students lacking some of these prerequisites may be admitted provisionally, at the discretion of the Graduate Committee.

Master of Arts (Non-thesis) Option Requirements:

  1. STAT 1631-1632; Intermediate Probability and Intermediate Mathematical Statistics.
  2. STAT 2131-2132; Applied Statistical Methods 1 and 2.
  3. At least three credits in STAT 2381; Supervised Statistical Consulting.
  4. Four courses (12 credits) in statistical methods or theory other than those in those listed above, distributed as follows:
  5. At least two graduate statistic courses (STAT 2000 level or higher, but excluding STAT 2711 and 2712; Probability Theory 1 and 2.) Courses at the 3000 level must be approved by the student's graduate advisor.
  6. The remainder of the courses may be chosen from the undergraduate statistics courses (STAT 1200 or higher), excluding STAT 1221, 1231, 1731 and 1900.
  7. Graduate-level courses (totaling six credits or more; numbered 2000 or above) in a discipline outside of statistics approved by the student's graduate advisor.
  8. Passing the Preliminary Exam, usually given at the beginning of the fall semester of the second year of graduate study. The exam covers the topics taught in STAT 1631-1632 and STAT 2131-2132. A student who fails the Preliminary Exam at the master's level will be given an oral exam scheduled before the end of the following (spring) term.

Master of Science (Thesis) Option Requirements:

  1. STAT 1631-1632; Intermediate Probability and Intermediate Mathematical Statistics.
  2. STAT 2131-2132; Applied Statistical Methods 1 and 2.
  3. At least three credits in STAT 2381; Supervised Statistical Consulting.
  4. Two courses (6 credits) in statistical methods or theory from either the graduate or undergraduate course list except for STAT 1221, 1231, 1731, and 1900 and STAT 2711 and STAT 2712; Probability Theory 1 and 2. Courses at the 3000 level must be approved by the student's graduate advisor.
  5. Two courses (6 credits) in STAT 2001; Research and Thesis for the MS Degree.
  6. An oral defense of the thesis.
  7. Graduate-level courses (totaling 6 credits or more; number 2000 or above) in a discipline outside of statistics approved by the graduate advisor.
  8. Passing the Preliminary Exam, usually given at the beginning of the fall semester of the second year of graduate study. The exam covers the topics taught in STAT 1631-1632 and STAT 2131-2132. A student who fails the Preliminary Exam at the master's level will be given an oral exam scheduled before the end of the following (spring) term.
  9. To qualify for this degree option, a student must find a faculty member in the Department to direct the student's thesis. For full-time students, this should be done no later than the beginning of the student's second year in graduate school.