by our College Data Analytics TeamComputer & Information Sciences is a program of study at Lewis University. The school offers a master’s degree in the area. We’ve pulled together some essential information you should know about the master’s degree program in computer and information sciences, including how many students graduate each year, the ethnic diversity of these students, whether or not the degree is offered online, and more.
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Part-time graduates at Lewis paid an average of $810 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. The average full-time tuition and fees for graduate students are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $14,580 | $14,580 |
| Fees | $200 | $200 |
Looking for online learning options? Good news, you can take online classes in the computer and information sciences master’s degree program at Lewis. To see if the school offers distance learning options in other areas, visit the Lewis Online Learning page.
Of the students who received their master’s degree in computer and information sciences in 2019-2020, 22.1% of them were women. This is less than the nationwide number of 33.2%.
Around 28.4% of computer and information sciences master’s degree recipients at Lewis in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 19%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 12 |
| Black or African American | 8 |
| Hispanic or Latino | 4 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 1 |
| White | 49 |
| International Students | 8 |
| Other Races/Ethnicities | 13 |
Computer & Information Sciences students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Computer Science | 35 |
| Computer Software & Applications | 40 |
| Information Technology | 20 |
*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.