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Statistics with Mathematics Option

Statistics is the mathematical and computational study of data and chance. It is a methodological discipline. The curriculum offers courses in fundamental statistics and probability as well as courses that focus on statistical computation for students who want to work as data scientists and statistical consultants.  Statisticians often work closely with people in other fields to design experiments or surveys, analyze the resulting data, and draw conclusions.

The demand for statisticians is not limited to just one field or discipline but has great scope. An expert in statistics can work in fields as diverse as analytics, bioinformatics and medicine, finance and insurance, management and marketing, agriculture and forestry, economics and education, as well as communications and software design.

The statistics with mathematics emphasis major frequently leads to a double major in mathematics.

Plan of Study

Statistics with Mathematics Option Webpage

Transfer to Statistics with Mathematics Option

Purdue admits to individual majors. Transfer students must meet Purdue's overall transfer criteria, as well as any major-specific requirements. Before you apply, check the closed programs page to confirm this major is open to transfer students. If it is, refer to the information below for major-specific transfer criteria.

Minimum GPA: 2.5

Additional Requirements: Completion of at least one semester of college-level calculus equivalent to MA 16100 or MA 16500 with a grade of C or higher.


Contact Information

Director of Recruiting, College of Science
(765) 494-1990
sciencerecruiting@purdue.edu

College of Science
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Careers in Statistics with Mathematics Option

Many Math Stat majors continue on to graduate school for an MS or Ph.D.  Some decide to teach, while others become sports statisticians or work as consultants, database managers, cryptologists, mathematicians, or market researchers.  Math Stat majors also are well positioned for careers involving data analytics, computational statistics, and machine learning. 

In addition to fundamental statistics and probability, students learn communication skills, teamwork, and problem-solving and technical skills necessary for positions in a number of companies and industries.


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