by our College Data Analytics TeamMedical Informatics is a concentration offered under the medical illustration and informatics major at Dakota State University. We’ve pulled together some essential information you should know about the master’s degree program in medical informatics, including how many students graduate each year, the ethnic diversity of these students, whether or not the degree is offered online, and more.
If there’s something special you’re looking for, you can use one of the links below to find it:
During the 2019-2020 academic year, part-time graduate students at Dakota State paid an average of $616 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $330 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
| In State | Out of State | |
|---|---|---|
| Tuition | $5,939 | $11,088 |
| Fees | $721 | $721 |
If you’re interested in online learning, you’re in luck. Dakota State does offer online classes in its medical informatics master’s degree program. To see if the school offers distance learning options in other areas, visit the Dakota State Online Learning page.
All of the students who received their Master’s in medical informatics in 2019-2020 were women.
Of those students who received a master’s degree at Dakota State in medical informatics at 2019-2020, none were racial-ethnic minorities*.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 0 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 3 |
| International Students | 0 |
| 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.