BIOL 2300 Biostatistics

This course will introduce students to the basic statistical techniques that are used in conducting biological and medical research. Main topics covered include descriptive statistics (averages, variability), probability and probability distributions (basic probability theory and how distributions are used in inference), statistical inference (parametric and non-parametric tests); and relationships between variables (correlation and linear). Students will become familiar with a standard statistical analyses using the software package R.

Course overview

Department
Biology
School
MCAS
Credits
3
Level
Undergraduate
Offered
Every Fall,Every Spring

Requirements fulfilled

  • Neuroscience B.S.: Computation (6 Credits) — Any one of the following courses (Current University Catalog; students should confirm their catalog year)
  • Biology B.S.: Quantitative corequisite options (Current University Catalog; students should confirm their catalog year)
  • Biology B.A.: Quantitative corequisites (Current University Catalog; students should confirm their catalog year)

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

Official evaluation summary

3.97 / 5

Based on 586 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Jeffrey Dacosta
    Summer 2026, Summer 2025, Fall 2024, Summer 2024, Fall 2023, Summer 2023, Fall 2022, Summer 2022, Fall 2021 · Official rating 4.20/5
  • Stacy Nguyen
    Summer 2023 · Official rating 5.00/5
  • Mariane Helen De Oliveira
    Spring 2026 · Official rating 4.32/5

Sections

  • Section 01
    Summer 2026 · Jeffrey Dacosta · On-line Asynchronous · Offered
  • Section 02
    Summer 2026 · Jeffrey Dacosta · On-line Asynchronous · Offered
  • Section 01
    Fall 2026 · Instructor not listed · Higgins Hall 300 MWF 10:00AM-10:50AM · Offered