Most Popular Colleges for Data Processing Master’s Degree Programs
Around 11 master’s degrees are awarded each year to data processing majors. Ranked in order of popularity, here are the colleges with the largest programs in the field:
With 10 master’s degrees handed out in 2017-2018, Fordham University is the most popular college in the country for data processing degree-seekers.
Graduate students at Fordham U can expect to pay the following average costs.
| In-State | Out-of-State | |
|---|---|---|
|
Full-Time Tuition |
$32,808 |
$32,808 |
|
Fees for Full-Time Students |
$609 |
$609 |
|
Part-Time per Credit Hour |
$1,367 |
$1,367 |
In 2017-2018, Fordham U reported having 353 graduate assistants across all departments at the school. Of that number, 162 were classified as teaching assistants, and 7 were classified as research assistants. The remaining GAs were categorized as Other.
About 1 students earned master's degrees in data processing at University of Nevada - Las Vegas in 2017-2018, making the school the second most popular in the nation. UNLV also ranks #2 in popularity in Nevada for students seeking a data processing degree.
Here are the average costs for graduate students at UNLV.
| In-State | Out-of-State | |
|---|---|---|
|
Full-Time Tuition |
$5,144 |
$19,332 |
|
Fees for Full-Time Students |
$632 |
$632 |
|
Part-Time per Credit Hour |
$269 |
$566 |
In 2017-2018, there were 978 graduate assistants in all departments combined at the school. Of that number, 573 were classified as teaching assistants, and 320 were classified as research assistants. The remaining GAs were categorized as Other.
A note on these rankings: The colleges above are ranked by the number of graduates in the program meaning the largest programs are at the top. While program popularity does not necessarily indicate quality, it does mean that many students are successfully graduating from the program, thus, making them worthwhile programs to consider.
References
National Center for Education Statistics
Image Credit: By Kenneth Jensen under Attribution-Share Alike 3.0 Unported
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