MATH 1180 Principles of Statistics for the Health Sciences

This course introduces statistics as a liberal arts discipline and applies the principles of statistics to problems of interest for health sciences professionals. Students will gain an understanding of statistical ideas and methods, acquire the ability to deal critically with numerical arguments and gain an understanding of the impact of statistical ideas on the health sciences, public policy, and other areas of application.

Course overview

Department
Mathematics
School
MCAS
Credits
3
Level
Undergraduate
Offered
Every Spring

Catalog details

Prerequisites
Open to Connell School of Nursing students only.
Satisfies core
Mathematics

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Requirements fulfilled

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
3.26 / 5 · Good
466 responses
Instructor rating
3.80 / 5 · Very Good
466 responses
Terms evaluated
5
Most recent: Spring 2026

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2026Liyang Zhang4.54.74.84.74.24.74.33.91–3 hrs/week45 of 46
Spring 2026Mira Wattal3.23.34.04.13.74.23.63.54–6 hrs/week19 of 20
Spring 2026Mujie Wang3.63.74.44.54.24.64.14.21–3 hrs/week14 of 18
Spring 2026Tianxiang Liu3.84.04.64.64.34.84.34.21–3 hrs/week12 of 13
Spring 2025Gomathy Ganapathy3.64.04.14.04.64.63.94.14–6 hrs/week10 of 11
Spring 2025Joaquin Ignacio Lema Perez3.03.63.93.94.24.23.73.0—20 of 21
Spring 2025Liyang Zhang4.04.54.64.64.54.64.44.21–3 hrs/week46 of 55
Spring 2025Qingfeng Lyu2.92.63.63.64.14.03.53.11–3 hrs/week16 of 19
Spring 2024Liyang Zhang3.84.54.34.44.54.53.94.44–6 hrs/week45 of 50
Spring 2024Mujie Wang2.62.53.43.44.33.83.04.04–6 hrs/week25 of 25
Spring 2024Seyed Naseri Sadr2.72.53.63.54.63.73.34.24–6 hrs/week22 of 24
Spring 2024Yaoying Fu3.04.23.83.94.44.53.44.14–6 hrs/week26 of 27
Spring 2023Braeden Reinoso3.24.43.94.34.84.54.04.7—21 of 23
Spring 2023Kevin Yeh2.02.32.62.84.43.02.54.04–6 hrs/week23 of 24
Spring 2023Liyang Zhang3.64.34.34.24.74.23.64.24–6 hrs/week38 of 41
Spring 2023Tsz Hin Fung2.83.83.53.54.84.13.54.34–6 hrs/week22 of 23
Spring 2022Braeden Reinoso2.94.92.93.74.64.33.44.84–6 hrs/week15 of 24
Spring 2022Eric Moss2.64.02.73.74.13.93.23.54–6 hrs/week11 of 23
Spring 2022Maksym Fedorchuk2.02.02.62.84.63.52.84.24–6 hrs/week26 of 36
Spring 2022Tsz Hin Fung2.24.22.73.44.73.43.24.54–6 hrs/week10 of 14

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Sections

  • Section 01
    Spring 2027 · Katherine Slyman · Gasson Hall 209 MWF 02:00PM-02:50PM · Offered
  • Section 02
    Spring 2027 · Edward Isayev · Gasson Hall 310 MWF 09:00AM-09:50AM · Offered
  • Section 03
    Spring 2027 · Ethan Winters · Stokes Hall 217N MWF 10:00AM-10:50AM · Offered
  • Section 04
    Spring 2027 · Arieh Zimmerman · Higgins Hall 265 MWF 01:00PM-01:50PM · Offered