The Master of Science in Statistics program is administered by the Schools of Mathematics (Math) and Industrial and Systems Engineering (ISyE). The main body of courses for the M.S. in Statistics degree are taken in Math and in ISyE. Choices of the remaining courses in the program are quite flexible; students in the program can concentrate their studies on a specific area of application such as Operations Research, Psychology, Mechanical Engineering, etc., or, in preparation for the Ph.D., can take more mathematical courses. The M.S. degree in Statistics is awarded upon successful completion of the courses in the program as described below according to the stipulations of the Institute catalog. Electives are to be chosen in consultation with a faculty member. A plan of offerings and catalog descriptions of courses in mathematics is available as are more details, including catalog descriptions, about all courses offered the coming semester.

Core (12 hrs.) + Advanced (6 hrs.) + Methods (6 hrs.) + Statistics Electives (3 hrs.) + Free Electives (3 hrs.) = 30 hours total

Note: All the courses listed below are 3-hour courses.

Master of Science in Statistics (MS Stat)

CORE (12 hrs required)

  • Math 4261 Mathematical Statistics I
  • Math 4262 Mathematical Statistics II
  • ISyE 6414 Statistical Modeling and Regression Analysis
  • ISyE 7400 Advanced Design of Experiments or ISyE 7401 Advanced Statistical Modeling

THEORY/ADVANCED (select 6 hrs)

  • ISyE 7441 Theory of Linear Models
  • Math 6262 Statistical Estimation
  • Math 6263 Testing Statistical Hypotheses
  • Math 4317 Real Analysis
  • ISyE 7405 Multivariate Data Analysis
  • ISyE 6761 Stochastic Processes I
  • ISyE 6762 Stochastic Processes II
  • ISyE 6781 Reliability Theory

METHODS (select 6 hrs)

  • ISyE 6404 Nonparametric Data Analysis
  • ISyE 6405 Statistical Methods for Manufacturing Design and Improvement
  • ISyE 6805 Reliability Engineering
  • ISyE 6402 Time-Series Analysis
  • ISyE 6413 Design and Analysis of Experiments

PROBABILITY/STATISTICS ELECTIVE (select 3 hrs)

  • ISyE 6650 Probabilistic Models and Their Applications
  • ISyE 6644 Simulation
  • ISyE 6656 Queueing Theory and Applications

FREE ELECTIVE (3 hrs)

TOTAL HOURS REQUIRED 30

The Industrial and Technology Statistics Group is a part of the Industrial and Systems Engineering School at the Georgia Institute of Technology. Please contact the statistics group with questions or comments about the web site or its contents.