Allied Health & Medical Assisting Services at Manhattan School of Computer Technology
Manhattan School of Computer Technology is located in Brooklyn,, New York and has a total student population of 392.
Want to know more about the career opportunities in this field? Check out the Careers in Allied Health & Medical Assisting Services section at the bottom of this page.
Manhattan School of Computer Technology Allied Health & Medical Assisting Services Degrees Available
- Undergrad Certificate in Medical Assisting (1 - 4 Years)
Manhattan School of Computer Technology Allied Health & Medical Assisting Services Rankings
Note: While rankings may be a good starting point when you're researching a school, they don't necessarily highlight all of a school's strengths. Don't forget to check out the other details that are available for a school to see if it has what you're looking for in a program.
Concentrations Within Allied Health & Medical Assisting Services
If you plan to be a medical assisting major, you may want to focus your studies on one of the following concentrations. The table shows all degrees awarded in this field awarded for all degree levels at Manhattan School of Computer Technology. A concentration may not be available for your level.
Concentration | Annual Degrees Awarded |
---|
Related Majors
Careers That Medical Assisting Grads May Go Into
A degree in medical assisting can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for NY, the home state for Manhattan School of Computer Technology.
Occupation | Jobs in NY | Average Salary in NY |
---|---|---|
Medical Assistants | 26,080 | $37,560 |
Health Specialties Professors | 22,170 | $127,230 |
Pharmacy Technicians | 19,320 | $34,640 |
Physician Assistants | 12,060 | $117,000 |
Healthcare Support Workers | 6,360 | $37,380 |
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.