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Mathematics & Statistics at University of Pittsburgh - Pittsburgh Campus

Mathematics & Statistics at University of Pittsburgh - Pittsburgh Campus

If you plan to study mathematics & statistics, take a look at what University of Pittsburgh - Pittsburgh Campus has to offer and decide if the program is a good match for you. Get started with the following essential facts.

Pitt is located in Pittsburgh, Pennsylvania and approximately 32,277 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.

Pitt Mathematics & Statistics Degrees Available

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

Pitt Mathematics & Statistics Rankings

The mathematics & statistics major at Pitt 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 10 students who received their doctoral degrees in mathematics & statistics, making the school the #67 most popular school in the United States for this category of students.

Mathematics & Statistics Student Demographics at Pitt

Take a look at the following statistics related to the make-up of the mathematics & statistics majors at University of Pittsburgh - Pittsburgh Campus.

Pitt Mathematics & Statistics Bachelor’s Program

32% Women
27% Racial-Ethnic Minorities*
For the most recent academic year available, 68% of mathematics & statistics bachelor's degrees went to men and 32% went to women.

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About 55% of those who receive a bachelor's degree in mathematics & statistics at Pitt 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 University of Pittsburgh - Pittsburgh Campus with a bachelor's in mathematics & statistics.

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Race/Ethnicity Number of Students
Asian 14
Black or African American 2
Hispanic or Latino 8
White 52
International Students 15
Other Races/Ethnicities 3

Pitt Mathematics & Statistics Master’s Program

20% Women
5% Racial-Ethnic Minorities*
For the most recent academic year available, 80% of mathematics & statistics master's degrees went to men and 20% went to women.

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The following table and chart show the race/ethnicity for students who recently graduated from University of Pittsburgh - Pittsburgh Campus with a master's in mathematics & statistics.

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Race/Ethnicity Number of Students
Asian 0
Black or African American 0
Hispanic or Latino 1
White 5
International Students 13
Other Races/Ethnicities 1

Concentrations Within Mathematics & Statistics

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

Concentration Annual Degrees Awarded
Mathematics 57
Applied Mathematics 43
Statistics 43
Other Statistics 23

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 PA, the home state for University of Pittsburgh - Pittsburgh Campus.

Occupation Jobs in PA Average Salary in PA
High School Teachers 50,460 $64,830
Financial Analysts 11,980 $93,870
Natural Sciences Managers 4,480 $147,810
Statisticians 3,710 $85,180
Financial Specialists 3,370 $74,880

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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