Software Engineering is a concentration offered under the computer engineering major at Harvard University. We’ve gathered data and other essential information about the master’s degree program in computer software engineering, such as diversity of students, how many students graduated in recent times, and more.
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During the 2019-2020 academic year, part-time graduate students at Harvard paid an average of $0 per credit hour. No discount was available for in-state students. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $49,448 | $49,448 |
Fees | $1,206 | $1,206 |
Harvard does not offer an online option for its computer software engineering master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Harvard Online Learning page.
About 16.4% of the students who received their MS in computer software engineering in 2019-2020 were women. This is less than the nationwide number of 35.7%.
Around 41.8% of computer software engineering master’s degree recipients at Harvard in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 17%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 16 |
Black or African American | 1 |
Hispanic or Latino | 4 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 27 |
International Students | 2 |
Other Races/Ethnicities | 5 |
You may also be interested in one of these majors related to software engineering.
Related Major | Annual Graduates |
---|---|
General Computer Engineering | 27 |
View All Software Engineering Related Majors >
*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.