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Statistics Major

I. Becoming a Statistics Major

To be officially classified as a Statistics major and receive advising by the Department of Statistics, a student must declare the major in Athena. Students should be working through the calculus sequence (MATH 2250, MATH 2260, MATH 2270) and complete STAT 2000 or STAT 2100H as soon as possible.

Area VI Requirements for Statistics:

  • MATH 2250 – Calculus I
  • MATH 2260 – Calculus II
  • MATH 2270 – Calculus III
  • STAT 2000 or STAT 2100H – Introductory Statistics
  • STAT 2360/STAT 2360L – Computer Programming and Data Literacy in R

The department strongly recommends all Area VI courses be completed with a grade of C (2.0) or better.

Questions concerning the statistics major should be directed to Dr. Anne Marie Vencill (

II. Major Course Requirements for the Bachelor of Science Degree in Statistics

Required Courses - 36 hours

The Franklin College of Arts and Sciences requires all major required courses, as well as course electives, be completed with a grade of C (2.0) or higher. To enroll in a course that requires pre-requisite course(s), it is recommended that a student earns a grade of C or higher in the pre-requisite course(s).

 Major Required Courses - 27 Hours

MATH 3300

Applied Linear Algebra

STAT 4210 or 4110H

Statistical Methods

STAT 4230

Applied Regression Analysis

STAT 4220

Applied Experimental Design

STAT 4355 or STAT 4365

Advanced Statistical Programming or Modern Statistical Programming

STAT 4510

Mathematical Statistics I

STAT 4520

Mathematical Statistics II

STAT 5010W (Fall Only)

Statistical Capstone Course I

STAT 5020W (Spring Only)

Statistical Capstone Course II

 Major Electives - 9 hours

Students must have a grade of "C" (2.0) or higher for these courses, as required by The Franklin College of Arts and Sciences.

Students choose nine hours from among STAT 4000-level courses.  The following courses do not fulfill statistics major electives and will not apply as elective courses: STAT 4050, STAT 4070, STAT 4530, STAT 4630, STAT 4640, STAT 4950 and STAT 5700.

STAT 4355 may not “double count” as both a major required and major elective course.

STAT 4365 may not “double count” as both a major required and major elective course.

Students wanting to take both STAT 4355 and STAT 4365 should take one course as major required and the other as an elective.

Approved Statistic Major Electives:

STAT 4100

Applied Stochastic Processes

STAT 4240

Sampling and Survey Methods

STAT 4250

Applied Multivariate Analysis and Statistical Learning

STAT 4260

Statistical Quality Assurance

STAT 4280

Applied Time Series Analysis

STAT 4290

Nonparametric Methods

STAT 4350

Applied Bayesian Statistics

STAT 4355*

Advanced Statistical Programming

STAT 4365*

Modern Statistical Programming

STAT 4380
(BIOS 4380)

Survival Analysis

STAT 4620

Applied Categorical Data Analysis

STAT 4660

Introduction to Quantitative Biology

STAT 4710

Introduction to Probability Theory I

STAT 4720

Introduction to Probability Theory II

*STAT 4355 and STAT 4365 may not “double count” as major required and major elective courses. Take one course as major required and the other as an elective, if desired.

 III. Beyond Undergraduate Studies:

Students interested in pursuing graduate studies in Statistics should plan to take additional upper-level mathematics courses. Recommended courses include: MATH 3100 (Sequences and Series) as well as MATH 3200 (Introduction to Higher Mathematics).

It is important to check entrance requirements of institutions being considered for graduate studies. The Graduate Record Exam (GRE) is a common requirement.

The Statistics Department also offers several Double Dawg Programs including:

  • BS-Statistics/MS-Statistics
  • BS-Statistics/MS-Business Analytics
  • BS-Statistics/MA-Educational Psychology
    (Quantitative Methodology)

Contact Dr. Liang Liu ( for questions about graduate studies.

Contact Dr. Anne Marie Vencill ( or Dr. Abhyuday Mandal (amandal@stat.uga.edufor questions about Double Dawg Programs in Statistics.


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