The simplest cell contains infinitely intricate mathematics.

The study of biostatistics at Emmanuel College challenges students to combine biology and statistics in answering questions about biological systems and human health. As a result, graduates will be prepared to address new challenges arising from advances in biomedical science; collaborate with investigators in institutions such as cancer research centers and medical schools on the design, analysis, and interpretation of studies; and make a difference in the world of health sciences.

Major Requirements

View the 2022-2023 Academic Catalog to find course titles, numbers and descriptions.

Requirements for B.S. in Biostatistics

  • BIOL1105 Introduction to Cellular and Molecular Biology (SI-L) (NSL)
  • BIOL1106 Introduction to Organismic and Evolutionary Biology (SI-L) (NSL)
  • BIOL2123 Genetics
  • CHEM1101 Principles of Chemistry I* (SI-L) (NSL) AND CHEM1102 Principles of Chemistry II* (SI-L) (NSL)  OR CHEM1103 Chemical Perspectives* (SI-L)
  • MATH2101 Linear Algebra (QA) (QR) 
  • MATH2103 Calculus III (QA) (QR)
  • MATH2113 Applied Statistics (QA)
  • MATH3103 Probability
  • MATH3105 Advanced Statistics
  • MATH4101 Programming in SAS

and one elective to be chosen from the following courses:

  • BIOL2115 Determinants of Health and Disease
  • BIOL2119 Current Topics in Biological Research
  • MATH4194/95 Research Internship I & II**

*Qualified students may replace CHEM1101 and CHEM1102 with CHEM 1103
**MATH4194 counts as a 3000-level math elective for a B.S. in Biostatistics if the entire two-semester internship sequence (MATH4194 and MATH4195) is completed. Students receive academic credit for the second internship course (MATH4195), but it would not be counted as one of the 12 required biostatistics courses.

Learning Goals & Outcomes

  1. Understand a common set of core mathematical concepts/skills/problems/theorems/ways of thought needed to study mathematical statistics (MATH2103 and MATH2101)
  2. Understand foundational principles of biology (BIOL1105 and BIOL1106)
  3. Understand chemical structure of components of living systems (DNA, proteins, lipids, etc.) (CHEM1101 and CHEM1102)
  4. Understand descriptive and inferential statistics, probability theory, methods and techniques (MATH2113, MATH3103, MATH3105)
  5. Be able to apply statistical methods and techniques to current biological topics and research (BIOL2123 and one BIOL elective (BIOL2115 or BIOL2119))
  6. Be able to use technology and software programs (SAS, R) to analyze data and effectively communicate statistical results to others, especially non-statisticians (MATH2113, MATH3105, MATH4101).

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