Georgia Tech Mathematics master of science in statistics Georgia Institute of Technology
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The MS Program:

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. Plans of graduate and undergraduate offerings are available as are more details, including catalog descriptions, about all courses offered the coming semester.

In addition to the listing below see also the ISyE listing.

Core                           12 hrs
Advanced                        6 hrs
Methods                         6 hrs
Statistics Electives            3 hrs
Free Electives                  3 hrs
Total                          30 hrs

All below are 3 hour courses.


Core Courses

Math 4261  Mathematical Statistics I
Math 4262  Mathematical Statistics II
ISyE 6401  Statistical Modeling and Design of Experiments (or ISyE 6414)
ISyE 7400  Advanced Design of Experiments
 or
ISyE 7401  Advanced Statistical Modeling

Advanced Courses

ISyE 7441  Theory of Linear Models
 or
MATH 6266  Linear Statistical Models

MATH 6262  Statistical Estimation
MATH 6263  Testing Statistical Hypotheses
MATH 6267  Multivariate Statistical Analysis
Math/ISyE 6761  Stochastic Processes I
Math/ISyE 6762  Stochastic Processes II
Math/ISyE 6781  Reliability Theory

Methods Courses

ISyE 6402  Time Series
ISyE 6404  Nonparametric Data Analysis
ISyE 6405  Response Surfaces
ISyE 7400  Advanced Design of Experiments
ISyE 7401  Advanced Statistical Modeling
ISyE 7405  Multivariate Data Analysis
(see also ISyE 6413 and 6805)
Electives (A non-comprehensive and brief list )

ISyE 6650  Probabilistic Models and their Applications
ISyE 6644  Simulation
ISyE 6656  Queueing Theory


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