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Computer Hardware Engineering at Oakland University

Computer Hardware Engineering at Oakland University

If you plan to study computer hardware engineering, take a look at what Oakland University has to offer and decide if the program is a good match for you. Get started with the following essential facts.

Oakland is located in Rochester Hills, Michigan and approximately 18,552 students attend the school each year.

Want to know more about the career opportunities in this field? Check out the Careers in Computer Hardware Engineering section at the bottom of this page.

Oakland Computer Hardware Engineering Degrees Available

  • Master’s Degree in Computer Hardware Engineering

Oakland Computer Hardware Engineering Rankings

Computer Hardware Engineering Student Demographics at Oakland

Take a look at the following statistics related to the make-up of the computer hardware engineering majors at Oakland University.

Oakland Computer Hardware Engineering Master’s Program

27% Women
7% Racial-Ethnic Minorities*
For the most recent academic year available, 73% of computer hardware engineering master's degrees went to men and 27% went to women.

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The following table and chart show the race/ethnicity for students who recently graduated from Oakland University with a master's in computer hardware engineering.

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Race/Ethnicity Number of Students
Asian 0
Black or African American 0
Hispanic or Latino 1
White 6
International Students 8
Other Races/Ethnicities 0

Careers That Computer Hardware Engineering Grads May Go Into

A degree in computer hardware engineering can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for MI, the home state for Oakland University.

Occupation Jobs in MI Average Salary in MI
Architectural and Engineering Managers 10,460 $132,810
Engineering Professors 1,640 $106,740

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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