Statistics is required for most Bachelor of Science in Nursing (BSN) programs and nearly all graduate nursing degrees. If you’re pursuing an Associate Degree in Nursing (ADN), you may only need a general math course like college algebra, though some ADN programs include statistics as well. The short answer: the higher the degree, the more likely statistics becomes mandatory.
BSN Programs Typically Require Statistics
Most four-year BSN programs list an introductory statistics course as either a prerequisite or a co-requisite. At the University of Pennsylvania School of Nursing, for example, “Introduction to Statistics” appears in the required prerequisite table for all BSN students. Second-degree students and those on a combined BSN-to-MSN track must complete a statistics course before they even start the program.
This pattern holds across most universities offering a BSN. You’ll generally take statistics during your first or second year alongside other general education and science prerequisites. The course doesn’t need to be nursing-specific at this level. Many students fulfill the requirement through their university’s math or social science department with a general introductory statistics class.
ADN Programs Have Lighter Math Requirements
Associate degree nursing programs focus on getting you clinically ready in two years, so the math requirements are leaner. Most ADN programs require one college-level math course, often algebra, to satisfy their general education math foundation. Montgomery College’s Associate of Science in Nursing, for instance, requires three semester hours of a mathematics foundation course without specifying statistics.
That said, some ADN programs do require or recommend a basic statistics course. If you already know which schools you’re applying to, check their specific prerequisites. Even if statistics isn’t required for your ADN, taking it voluntarily makes the transition smoother if you later pursue a BSN through an RN-to-BSN bridge program, where statistics is almost always on the list.
Graduate Nursing Degrees Take It Further
For Master of Science in Nursing (MSN) and Doctor of Nursing Practice (DNP) programs, statistics isn’t just recommended. It’s a firm prerequisite. UCSF’s DNP program requires a college-level statistics course completed within five years of starting the program. That five-year window is common at the graduate level because programs want students working with current statistical literacy, not something they learned a decade ago and forgot.
If your undergraduate statistics course is older than five years, you’ll likely need to retake it or complete an equivalent before enrollment. Some graduate programs also include their own advanced statistics or research methods coursework within the curriculum itself, building on the foundation you bring in.
What a Nursing Statistics Course Covers
Nursing statistics courses aren’t the same as what a math or economics major would take. They’re built around health sciences applications and evidence-based practice. A typical syllabus covers descriptive statistics (averages, ranges, how data spreads out), probability, hypothesis testing, and how to judge whether a research finding is meaningful or just due to chance.
The University of Rochester’s “Statistics for Evidence Based Practice in the Health Sciences” course offers a good snapshot of what to expect. Topics include levels of data measurement, data display, confidence intervals, statistical power, and several specific techniques: correlation, chi-square tests, t-tests, odds ratios, relative risk, and linear regression. You’ll also learn the difference between statistical significance (a math threshold) and clinical significance (whether a finding actually matters for patient care).
None of this requires advanced calculus. Most nursing statistics courses assume you’re comfortable with college algebra and nothing more. The emphasis is on interpreting results and reading research, not on deriving formulas from scratch.
Why Statistics Matters in Nursing Practice
The reason statistics shows up in nursing curricula is evidence-based practice, which the American Nurses Association identifies as a core component of modern nursing care. Nurses are expected to read published research, evaluate its quality, and apply findings to patient care. That means understanding what a study’s results actually show and whether they’re reliable.
Evidence-based practice in nursing operates on a hierarchy. The strongest evidence comes from randomized controlled trials (Level A), followed by well-designed trials without randomization (Level B), expert consensus when data is limited (Level C), and multi-level evidence for complex cases. To evaluate where a piece of research falls on this scale and whether its conclusions hold up, you need to understand sample sizes, confidence intervals, and what makes a result statistically significant.
In practical terms, this plays out in situations like interpreting new protocols for managing chronic conditions, understanding infection rate data on your unit, or evaluating whether a new intervention actually improves patient outcomes versus what was done before. You won’t be running statistical analyses at the bedside, but you will be reading and applying research that relies on them.
Preparing for the Statistics Requirement
If math isn’t your strongest subject, the most important preparation is solid comfort with algebra. Concepts like solving equations, working with fractions and percentages, and reading graphs are the foundation that nursing statistics builds on. Many nursing students take college algebra first and then move into statistics the following semester.
If you’re returning to school after time away, consider a math refresher before jumping into statistics. Community colleges and online platforms offer affordable algebra review courses that can bridge the gap. The statistics course itself will feel much more manageable when the underlying math feels familiar rather than foreign.
For students planning ahead, taking statistics early in your program pays off. It makes your later nursing research and evidence-based practice courses far easier to follow, and if you eventually pursue a graduate degree, having a recent statistics course on your transcript removes one more barrier to admission.