BS in Statistics Requirements
For any questions relating to the major, please contact Professor Ciminelli. You should talk with an advisor before declaring your major. If you are ready to declare your major, complete the online major declaration form.
Prerequisite Courses
Choose one of the following calculus sequences:
- MATH 161: Calculus IA and MATH 162: Calculus IIA
- MATH 141: Calculus I, MATH 142: Calculus II, and MATH 143: Calculus III
- MATH 171: Honors Calculus I and MATH 172: Honors Calculus II
Choose one of the following introductory statistics courses:
- STAT 180: Introduction to Applied Statistical Methodology (formerly STAT212)
- STAT 190: Introduction to Statistical Methodology (formerly STAT213 or DSCC 262)
- ECON 230: Economic Statistics
- PSCI 200: Data Analysis I
Core Courses (Eight Courses)
The following eight courses are required:
- MATH 164: Multidimensional Calculus
- MATH 165: Linear Algebra with Differential Equations
- STAT/MATH 201: Introduction to Probability
- STAT/MATH 203: Introduction to Mathematical Statistics
- STAT 216: Intermediate Statistical Methodology*
- STAT 217: Advanced Statistical Methodology
- STAT 223: Bayesian Inference
- STAT 226W: Linear Models
*Double majors with Economics or Business may substitute ECON 231W: Econometrics for STAT 216.
Computational Courses (Two Courses)
Choose two of the following:
- STAT 275(W): R Programming
- STAT 276(W): Statistical Computation in R
- STAT 277: Introduction to Statistical Software and Exploratory Data Analysis
- CSC 171: Introduction to Computer Science
- CSC 172: Data Structures and Algorithms
It is highly recommended to complete at least one STAT-listed computing course.
Elective Courses (Three Courses)
Choose three of the following:
- Any non-introductory 200-level STAT course
- MATH 202: Introduction to Stochastic Processes
- MATH 208: Operations Research I
- MATH 209: Operations Research II
- MATH 217: Mathematical Modeling in Political Science
- MATH 218: Introduction to Mathematical Modeling in the Life Sciences
- MATH 235: Linear Algebra
- MATH 265: Functions of a Real Variable
- DSCC 265: Introduction to Statistical Machine Learning
- DSCC 275: Time Series Analysis and Forecasting in Data Science
- PSCI 205: Data Analysis II
- PSCI 281: Formal Models in Political Science
- PSCI/ECON 288: Game Theory
- ECON 233: Financial Econometrics
Upper-Level Writing Requirement
The upper-level writing requirement is satisfied by completing any two of the following courses: STAT 221W, STAT 226W, STAT 275W, or STAT 276W. These courses can also count toward the Core and Computational requirements.