Program Overview
The Statistics concentration at ETSU equips students with a strong foundation in statistical reasoning, quantitative problem solving, and data-driven decision making. Students develop skills in data analysis, modeling, computation, and communication using modern statistical software while working with real-world datasets drawn from health sciences, business, and social research contexts. The curriculum balances theoretical foundations with applied experience and prepares students for careers in analytics, industry, and research, as well as graduate study in statistics, biostatistics, data science, and related quantitative fields.
Statistical Consulting Lab
A distinctive feature of the program is student involvement in the department’s Statistical Consulting Lab, where they engage with authentic data questions from campus collaborators and external partners. These activities strengthen technical and professional skills in project design, interpretation, and communication.
| Day | 10am-11:30am | 11:30am-11:40am | 11:40am-1pm | 1pm-1:10pm | 1:10pm-2pm |
| Monday | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah |
| Tuesday | Roni/Sekyiwah | Sekyiwah | Katie | Roni/Sekyiwah | |
| Wednesday | Roni/Sekyiwah | Roni/Sekyiwah | Roni/Sekyiwah | Roni/Sekyiwah | Roni/Sekyiwah |
| Thursday | Roni/Sekyiwah | Sekyiwah | Katie | Roni/Sekyiwah | |
| Friday | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Katie |
Katie Thornton
Roni MD Raisul Islam
Sekyiwah
Curriculum
Mathematics Major Core Requirements
- MATH 1920 - Calculus II (4 credits)
- MATH 2010 - Linear Algebra (3 credits)
- MATH 2050 - Foundations of Probability and Statistics - Calculus Based (3 credits)
- MATH 2090 - Mathematical Computing (2 credits)
- MATH 2110 - Calculus III (4 credits)
- MATH 3000 - Mathematical Reasoning (3 credits)
Statistics Concentration
- MATH 1530 - Probability and Statistics - Noncalculus (3 credits)
- STAT 2090 - Statistical Computing (2 credits)
- STAT 3050 - Statistical Modeling (3 credits)
- STAT 4047 - Mathematical Statistics I (3 credits)
- STAT 4057 - Mathematical Statistics II (3 credits)
- STAT 4217 - Statistical Machine Learning (3 credits)
- STAT 4287 - Applications of Statistics (3 credits)
- STAT 4307 - Sampling and Survey Techniques (3 credits)
- Math Elective (3 credits)
Additional Science Requirement
- PHYS 2110 - Technical Physics I-Calculus Based (5 credits)
- PHYS 2120 - Technical Physics II-Calculus Based (5 credits)
- BIOL 1110 - Biology for Science Majors Lecture I (3 credits)
- BIOL 1111 - Biology for Science Majors Laboratory I (1 credit)
- BIOL 1120 - Biology for Science Majors Lecture II (3 credits)
- BIOL 1121 - Biology for Science Majors Laboratory II (1 credit)
Capstone
- MATH 4010 - Undergraduate Research (3 credits)