Data Science, General is a concentration offered under the data science major at University of the Pacific. Here, you’ll find out more about the major master’s degree program in data science, general, including such details as the number of graduates, diversity of students, and more.
If there’s something special you’re looking for, you can use one of the links below to find it:
Part-time graduates at Pacific paid an average of $1,528 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $48,904 | $48,904 |
Fees | $470 | $470 |
Learn about other programs related to <nil> that might interest you.
Advance your career as a data analytics professional with this online master's from Southern New Hampshire University.
Online degrees for the Pacific data science, general master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Pacific Online Learning page.
About 43.8% of the students who received their Master’s in data science, general in 2019-2020 were women. This is higher than the nationwide number of 32.5%.
Around 31.3% of data science, general master’s degree recipients at Pacific in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 18%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 0 |
Hispanic or Latino | 4 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 6 |
International Students | 5 |
Other Races/Ethnicities | 0 |
*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.