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Medical/Clinical Assistant at Rasmussen University - Minnesota
Rasmussen University - Minnesota is located in St. Cloud, Minnesota and approximately 3,927 students attend the school each year.
Want to know more about the career opportunities in this field? Check out the Careers in Medical/Clinical Assistant section at the bottom of this page.
Rasmussen University - Minnesota Medical/Clinical Assistant Degrees Available
- Undergrad Certificate in Medical/Clinical Assistant (1 - 4 Years)
Online Classes Are Available at Rasmussen University - Minnesota
If you are a working student or have a busy schedule, you may want to consider taking online classes. While these classes used to be mostly populated by returning adults, more and more traditional students are turning to this option.
Are you one of the many who prefer to take online classes? Rasmussen University - Minnesota offers distance education options for medical/clinical assistant at the following degree levels:
- Associate’s Degree
Rasmussen University - Minnesota Medical/Clinical Assistant Rankings
Note: Rankings don't always give a complete picture of a school's strengths and weaknesses, so it's a good idea to extend your research and also look at other factors when trying to decide if the school is right for you.
Related Majors
Careers That Medical/Clinical Assistant Grads May Go Into
A degree in medical/clinical assistant can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for MN, the home state for Rasmussen University - Minnesota.
Occupation | Jobs in MN | Average Salary in MN |
---|---|---|
Medical Assistants | 10,010 | $40,320 |
References
*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.