STAT - Statistics Major (BS)
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Program Description
Major effective: Fall 2021
Modifications Made to Curriculum: Fall 2024
Statistics is the practice of working with data using computational and quantitative techniques: collecting, organizing, modeling, analyzing, summarizing, and visualizing, often in order to make well-founded inferences or predictions from data. Statistical methods and ways of thinking are important in many disciplines, from physical sciences to the humanities; and statistical evidence is crucial for high-stakes decision-making in realms like medicine, public policy, and finance.
The ability to handle and think critically about data, and to understand the design, assumptions, and limitations of statistical analysis and studies fit well within a liberal arts education. Drew’s statistics program has a strong computational, applied, and interdisciplinary focus that prepares students to participate in quantitative research and careers, to apply statistics in their areas of study, and to better understand, improve, and protect the world in which we live.
Requisites
Requirements for the Major (52 credits)
I. Core Courses (36 credits)
course - Calculus and Analytic Geometry I
MATH250 - Calculus and Analytic Geometry III
course - Introduction to Statistics
STAT120 - Statistical Computing in R
MATH220 - Discrete Mathematics
MATH320 - Probability
STAT335 - Applied Regression Analysis OR course - Applied Regression Analysis
STAT350 - Statistical Theory
STAT400 - Statistical Machine Learning OR course - Machine Learning
Note: Students who wish to pursue postgraduate work in statistics or data science are advised to also take MATH151.
II. Four Intermediate or Upper-Level Courses (16 credits)
Choose 4 from the following courses, at least 3 of which should be from MATH, STAT, DATA, or CSCI:
DATA253 - Applied Data Analysis
DATA352 - Modeling and Simulation OR course Modeling and Simulation
STAT220 - Special Topics in Statistics
STAT227 - Intermediate Statistics
STAT230 - Sports Statistics
STAT260 - Text Mining
STAT370 - Bayesian Statistics
CSCI330 - Databases & Information Management
MATH303 - Linear Algebra
At most, one applied course from another discipline that uses statistics with a STAT207 prerequisite may be counted in this section, such as: