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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 in fundamental statistics and probability as well as courses that focus on statistical computation for students who want to work as data scientists. Statisticians often work closely with people in other fields to design production of data, analyze data, and draw conclusions from data.

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) 494-1771
sciencerecruiting@purdue.edu

College of Science
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Careers in Statistics with Mathematics Option

Most statistics majors continue on to graduate school or enter professional programs such as law school, medical school, or business programs.

Some decide to teach. Others become sports statisticians or work for cities as database managers, cryptologists, mathematicians, or market researchers.

The newest trend for statistics majors is to continue on in data analytics, computational statistics and machine learning. In addition, students learn communication skills, teamwork, and problem-solving skills as well as the necessary technical skills for positions in a number of industries.


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