Master's in Statistics

The department offers a flexible MS program addressing the needs of both full-time and part-time students preparing for professional positions or for doctoral programs in statistics and other quantitative fields. Extensive use of statistical software packages (SAS, R) is required for most of the MS courses. The SAS statistical package is available in all university computer labs. Most of the graduate courses are scheduled for early evening times to accommodate students with full-time employment. Part-time students must ordinarily complete the MS program within 4 years of initial acceptance. For more information, please click here for the Information Sheet.

Information about careers in statistics can be found at the American Statistical Association website. It contains a detailed description of what statisticians do and what career opportunities are available.

Admission Prerequisites

Preparation for the program should include courses in multivariate calculus (Math 2233), matrix theory (Math 2184), and at least two undergraduate statistics courses. Some experience, either in theoretical or applied probability and/or statistics is advantageous but not required. Experience with computer programming and statistical packages are helpful.

Degree Requirements

For each entering student, an individualized program leading to the M.S. degree will be designed with the help of the MS program director by taking into account the individual's strengths and deficiencies, as judged from transcripts and interviews.

All candidates for the MS in Statistics must complete at least 30 units of graduate credit approved for the MS program in Statistics without a thesis. The department may also approve a program of study consisting of 24 credit hours of course work plus a thesis (Stat 6998-6999). The MS students may take two approved  courses outside the Statistics department, in related fields (e.g., Economics, Management and Finance, Computer Science, Mathematics or Public Health). Students must maintain a minimum cumulative grade average of B (3.0) in all course work.

Up to 24 credit units may also be counted towards the student's PhD degree, provided that they meet the requirements of the PhD program. Qualifying courses completed at GW before application and admission to the MS program may be used to satisfy some of the program's course requirements. A maximum of two courses of credit hours of graduate work required for the MS degree can be transferred from another degree-granting division of GW or another accredited university.

The course requirements listed below are special to this department and must be read in conjunction with the general requirements of the Graduate School. Additional information on graduate studies at GW can be found here.

Course Requirements:

Descriptions of all courses below can be found here.

All students are required to take Stat 6201—6202: Mathematical Statistics in their first year.


A set of electives may include courses from Statistics or appropriate courses from other programs and departments such as Business, Computer Science, Economics, Engineering Management and Systems Analysis, Mathematics, or Public Health.

Appropriate electives from the Statistics Department include:

    Stat   6197 Fundamentals of SAS Programming for Data Management
    Stat 6207-8 Methods of Statistical Computing I, II
    Stat   6210 Data Analysis
    Stat   6213 Intermediate Probability and Stochastic Processes
    Stat   6214 Applied Linear Models
    Stat 6215-6 Applied Multivariate Analysis
    Stat   6217 Design of Experiments
    Stat   6218 Linear Models
    Stat   6223 Bayesian Statistics: Theory and Applications
    Stat   6225 Longitudinal Data Analysis
    Stat   6227 Survival Analysis
    Stat   6231 Categorical Data Analysis
    Stat   6240 Statistical Data Mining
    Stat   6242 Regression Graphics/Nonparametric Regression
    Stat   6245 Statistical Consulting
    Stat   625Statistical Methods in Bioinformatics and Computational Biology
    Stat   6253 Legal Statistics
    Stat   625Statistical Genetics
    Stat   628Modern Theory of Sample Surveys
    Stat   6289 Topics in Statistics
    Stat   6290 Principles of Demography
    Stat   6291 Methods of Demographic Analysis
    Stat   6295 Reading and Research
    Stat   8226 Advanced Biostatistical Methods
    Stat   8281 Advanced Time Series Analysis
    Stat 8273-4 Stochastic Processes I and II
    Stat 8375-6 Econometrics I and II


You can obtain application materials as well as apply on line by visiting the graduate admissions website. Information for funding can be found there along with other useful information. Also, information on graduate student support can be found here. Please visit this site to find information specific to graduate students in the Columbian College of Arts and Sciences. Financial aid applications have a deadline of February 1 for Fall semester and October 1 for Spring semester.


Students in their first semester of the program must meet with their advisor prior to signing up for classes. Students are suggested to continue to seek advice throughout their time in the program. Students should also meet with their advisor if there is any question of whether their course work may be applied towards the degree. Professor Reza Modarres is the MS program director. He can be reached at 202-994-9991 or at [email protected].

Master's in Statistics with a Graduate Certificate in Data Science

The Statistics department offers an MS degree in Statistics with a Data Science graduate certificate. The dual program requires taking 12 graduate courses. Interested students must take 4 data science courses, Stat courses 6201-6202, plus 6 elective statistics courses numbered 6000 or above. Please click here for more information. Admitted student must fill out a Dual Degree Enrollment Application during the first term and submit it to the program adviser.

Additional Information

The Graduate Student Services website provides links to a wide range of services for graduate students such as academic links, financial information, libraries, computer services, registrar, student services and graduation.