Master of Science in Statistics

The School of Mathematics offers the degree of Master of Science in Statistics (MS STAT) in cooperation with the School of Industrial and Systems Engineering. It is available for applicants having the BS in mathematics; students with engineering backgrounds should enter the same program through the School of Industrial and Systems Engineering. Prerequisites include work in probability, statistics, linear algebra, calculus, and optimization. The program requires 30 credit hours of coursework. There is no thesis option.

The School of Industrial and Systems Engineering (ISYE) offers eight master's degrees:

  • Master of Science in Industrial Engineering (MS IE);
  • Master of Science in Operations Research (MS OR);
  • Master of Science in Supply Chain Engineering (MS SCE);
  • Master of Science in Statistics (MS STAT);
  • Master of Science in Health Systems (MS HS);
  • Master of Science in Quantitative and Computational Finance (MS QCF);
  • Master of Science in International Logistics (MS IL) that is part of the executive program; and
  • Master of Science in Computational Science and Engineering (MS CSE).

Three of these programs are interdisciplinary:

  • MS QCF (joint with School of Mathematics, College of Business),
  • MS STAT (joint with School of Mathematics) and
  • MS SCE (joint with College of Computing, School of Mathematics).

All proposed master's degree programs require thirty semester credit hours with the exception of MS IL and MS QCF (thirty-six credit hours) and MS HS (thirty-three credit hours). None of these MS programs contains a thesis option.

A student seeking a master's degree must have a bachelor's degree and typically one earned in engineering, science, mathematics, or some other field that provides an adequate background for the successful completion of one of ISyE's programs. Students having backgrounds from unaccredited degree programs or in programs that are found lacking in relative substance can expect to first take preliminary coursework in order to elevate their preparation to the level required. The prerequisite coursework for the various master's degrees includes strong performance in probability, statistics, linear algebra, and calculus.

Every MS curriculum is based on core classes offered from the School of ISyE, as well as electives offered by ISyE and other Georgia Tech schools in engineering and science. The MS SCE, MS QCF, and MS IL are professional degree programs with separate curriculums from the other regular MS degrees.

MS Statistics Math

Program of Study

Core Courses
MATH 4261Mathematical Statistics I3
MATH 4262Mathematical Statistics II3
ISYE 6413Design and Analysis of Experiments3
ISYE 6414Statistical Modeling and Regression Analysis3
Statistics Electives (Select 5 courses)15
Analysis I
Advanced Statistical Inference I
Testing Statistical Hypotheses
Linear Statistical Models
Multivariate Statistical Analysis
Time Series Analysis
Nonparametric Data Analysis
Statistical Methods for Manufacturing Design and Improvement
Theoretical Statistics
Computational Statistics
Stochastic Processes I
Stochastic Processes II
Reliability Theory
Statistical Techniques of Financial Data Analysis
Reliability Engineering
Advanced Design of Experiments
Advanced Statistical Modeling
Multivariate Data Analysis
Data Mining and Statistical Learning
Linear Statistical Models I
Free Elective 13
Total Credit Hours30