One example would be AP Statistics is not acceptable for “many/some” graduate nursing programs (MSN, NP, DNP, SRNA, etc.), although they were allowed for the BSN degree. There is also the issue of the age of a course for graduate degree. “Some” program require that courses were taken within (NOT older) than say, 5-years.
Are there requirements I need to complete prior to enrolling in a master’s program, other than completion of the Bachelor Science in Nursing degree? Do I need to complete a statistics course?
An approved upper level (300 or above) undergraduate or a graduate level statistics course is a requirement for the master’s core courses at the University of Michigan School of Nursing. If you apply and are offered admission, the statistics requirement may be completed prior to or during your first term of enrollment as part of your regular program plan. Please refer to the list of courses that are approved to fulfill the statistics prerequisite for the master’s core courses.
The statistics course must meet each of the six requirements listed below:
- Your course must be completed at a University. Courses completed at a community college will not be considered. Completely online statistics courses may be considered on a case-by-case basis. **2. The statistics course must be an upper division undergraduate level. A 300 level or above course would meet this requirement, while a 100 or 200 level course would not.
- You are required to have completed the course within 5 years of the term in which you are applying for admission consideration.**
- You must earn a satisfactory grade of a B- or above (grades of C+ or below and Pass/Fail courses will not be accepted or considered).
- The statistics course should be a general, social science, health care related or comparable course (courses that focus in business analytics, economics or finance do not meet the requirement).
- The curriculum for the course must cover common terminology and use of descriptive and inferential statistical techniques including each of the following areas:
frequency distributions
histograms
measures of central tendency and dispersion
correlation
regression
probability distributions
inference
hypothesis testing
the t-test
chi square
Introduction to probability theory
F distributionhttp://nursing.umich.edu/admissions/application-information/frequently-asked-questions-faqs