Engineering is a program of study at The University of Texas at Austin. The school offers a master’s degree in the area. Here, you’ll find out more about the major master’s degree program in engineering, including such details as the number of graduates, diversity of students, and more.
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In 2019-2020, the average part-time graduate tuition at UT Austin was $1,228 per credit hour for out-of-state students. The average for in-state students was $659 per credit hour. Information about average full-time graduate student tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $12,028 | $22,886 |
UT Austin does not offer an online option for its engineering master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the UT Austin Online Learning page.
Of the students who received their master’s degree in engineering in 2019-2020, 24.1% of them were women. This is less than the nationwide number of 26.8%.
Racial-ethnic minority graduates* made up 21.6% of the engineering master’s degrees at UT Austin in 2019-2020. This is higher than the nationwide number of 17%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 41 |
Black or African American | 2 |
Hispanic or Latino | 23 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 109 |
International Students | 167 |
Other Races/Ethnicities | 19 |
Engineering students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Aerospace & Aeronautical Engineering | 11 |
Biomedical Engineering | 26 |
Chemical Engineering | 7 |
Civil Engineering | 79 |
Electrical Engineering | 139 |
*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.