Students in this program will apply their quantitative, computing and biological knowledge to problems in biomedical research, statistical genetics, and bioinformatics. Students with biostatistical training are in high demand in a wide array of fields such as medical research, technology companies, pharmaceuticals, genetics, public health, and epidemiology to name a few.

Curriculum

Course List

Code	Title	Hours
Required Courses
Select one of the following:		6-8
MATH 161 & MATH 162	Calculus I and Calculus II
MATH 131 & MATH 132	Applied Calculus I and Applied Calculus II
BIOL 101 & BIOL 111	General Biology I and General Biology I Lab	4
BIOL 102 & BIOL 112	General Biology II and General Biology II Lab	4
STAT 335	Introduction to Biostatistics 1	3
or STAT 203	Introduction to Probability & Statistics
STAT 336	Advanced Biostatistics	3
Select one of the following:		3
STAT 303	SAS Programming & Applied Statistics
STAT 308	Applied Regression Analysis
STAT 337	Quantitative Methods in Bioinformatics
Total Hours		23-25

¹

STAT 335 Introduction to Biostatistics recommended unless you are in a major requiring STAT 203 Introduction to Probability & Statistics.

Learning Outcomes

• Students will understand and be able to explain key components of research design and statistical analysis, including observational studies, clinical trials, and survey studies, while highlighting potential biases in non-randomized studies.
• Students will recognize appropriate statistical techniques for different types of data and apply them effectively, in particular to data coming from biology.
• <span>Students will utilize statistical software proficiently to implement various statistical methods and techniques for data analysis, encompassing parametric, nonparametric, and modern statistical approaches.</span>