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Mathematics & Statistics at Virginia Tech

Mathematics & Statistics at Virginia Tech

If you are interested in studying mathematics & statistics, you may want to check out the program at Virginia Tech. The following information will help you decide if it is a good fit for you.

Virginia Tech is located in Blacksburg, Virginia and approximately 37,024 students attend the school each year.

Want to know more about the career opportunities in this field? Check out the Careers in Mathematics & Statistics section at the bottom of this page.

Virginia Tech Mathematics & Statistics Degrees Available

  • Bachelor’s Degree in Mathematics & Statistics
  • Master’s Degree in Mathematics & Statistics

Virginia Tech Mathematics & Statistics Rankings

The mathematics & statistics major at Virginia Tech is not ranked on College Factual’s Best Colleges and Universities for Mathematics & Statistics. This could be for a number of reasons, such as not having enough data on the major or school to make an accurate assessment of its quality.

There were 18 students who received their doctoral degrees in mathematics & statistics, making the school the #34 most popular school in the United States for this category of students.

Mathematics & Statistics Student Demographics at Virginia Tech

Take a look at the following statistics related to the make-up of the mathematics & statistics majors at Virginia Tech.

Virginia Tech Mathematics & Statistics Bachelor’s Program

34% Women
28% Racial-Ethnic Minorities*
For the most recent academic year available, 66% of mathematics & statistics bachelor's degrees went to men and 34% went to women.

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About 51% of those who receive a bachelor's degree in mathematics & statistics at Virginia Tech are white. This is above average for this degree on the nationwide level.

The following table and chart show the race/ethnicity for students who recently graduated from Virginia Tech with a bachelor's in mathematics & statistics.

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Race/Ethnicity Number of Students
Asian 16
Black or African American 1
Hispanic or Latino 2
White 47
International Students 19
Other Races/Ethnicities 8

Virginia Tech Mathematics & Statistics Master’s Program

38% Women
18% Racial-Ethnic Minorities*
For the most recent academic year available, 62% of mathematics & statistics master's degrees went to men and 38% went to women.

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Of the students who received a mathematics & statistics master's degree from Virginia Tech, 62% were white. This is above average for this degree on the natiowide level.

The following table and chart show the race/ethnicity for students who recently graduated from Virginia Tech with a master's in mathematics & statistics.

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Race/Ethnicity Number of Students
Asian 2
Black or African American 0
Hispanic or Latino 3
White 21
International Students 5
Other Races/Ethnicities 3

Concentrations Within Mathematics & Statistics

The following mathematics & statistics concentations are available at Virginia Tech. The table shows all degrees awarded in this field awarded for all degree levels at Virginia Tech. A concentration may not be available for your level.

Concentration Annual Degrees Awarded
Applied Mathematics 132
Mathematics 92
Statistics 43
Applied Statistics 11

Careers That Mathematics & Statistics Grads May Go Into

A degree in mathematics & statistics can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for VA, the home state for Virginia Tech.

Occupation Jobs in VA Average Salary in VA
High School Teachers 26,830 $68,770
Financial Analysts 8,550 $97,990
Financial Specialists 4,500 $87,810
Mathematical Science Professors 2,030 $68,640
Natural Sciences Managers 1,270 $133,360

References

*The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students, international students, and students whose race/ethnicity was unknown. This number is then divided by the total number of students at the school to obtain the racial-ethnic minorities percentage.

More about our data sources and methodologies.

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