Program Overview

Undergraduate Program in Statistics

The Department of Statistics and Data Science offers a comprehensive undergraduate program in Statistics, designed to provide students with a solid foundation in statistical theory, methods, and applications.

Major in Statistics Requirements

The Statistics major requires students to complete a series of related math courses and major courses.

Related Math Courses (3-7 units)

• MATH 220-1 and MATH 220-2 (or MATH 218-1 & MATH 218-2 & MATH 218-3)
• MATH 230-1 (or MATH 228-1, or MATH 281-1, or MATH 285-2, or MATH 290-2, or MATH 291-2)
• MATH 226-0 and MATH 230-2 or MATH 235-0/STAT 228-0 (or MATH 226-0 & MATH 228-2, or MATH 226-0 & MATH 281-2, or MATH 226-0 & MATH 285-3, or MATH 226-0 & MATH 290-3, or MATH 226-0 & MATH 291-3)
• MATH 240-0 (or MATH 281-3 or MATH 285-1 or MATH 290-1 or MATH 291-1 or GEN_ENG 205-1)

Major Course Requirements (10 courses)

Introductory Programming course (1 unit)

• STAT 201-0 Introduction to Programming for Data Science

Introductory Statistics course (1 unit)

1 of the following courses:

• STAT 202-0 Introduction to Statistics and Data Science
• STAT 210-0 Introduction to Probability and Statistics

Foundational courses (4 units)

• STAT 320-1 Statistical Theory & Methods 1 (Co-requisites: STAT 202-0 or STAT 210-0, STAT 228-0 or MATH 226-0 and MATH 230-2)
• STAT 320-2 Statistical Theory & Methods 2 (Prerequisite: STAT 320-1 or equivalent)
• STAT 320-3 Statistical Theory & Methods 3 (Prerequisites: STAT 320-2, MATH 240-0)
• STAT 350-0 Regression Analysis (Prerequisite: STAT 201-0, Prerequisite or co-requisite: STAT 320-1 or equivalent) or ECON 381-2 Econometrics

Standard methods course (2 units)

2 of the following courses:

• STAT 328-0 Causal Inference (Prerequisites: STAT 320-2, and STAT 350-0)
• STAT 344-0 Statistical Computing (Prerequisites: STAT 320-2)
• STAT 348-0 Applied Multivariate Analysis (Prerequisites: STAT 320-2, MATH 240-0, and STAT 350-0)
• STAT 351-0 Design and Analysis of Experiments (Prerequisite: STAT 320-1 or MATH 310-1 or MATH 314)
• STAT 352-0 Nonparametric Statistical Methods (Prerequisites: STAT 350-0)
• STAT 353-0 Advanced Regression (Prerequisites: STAT 320-2 and STAT 350-0)
• STAT 354-0 Applied Time Series Modeling (Prerequisites: STAT 320-1, Co-requisite: STAT 350-0)
• STAT 357-0 Introduction to Bayesian Statistics (Prerequisites: STAT 320-2, STAT 350-0 or STAT 301-2 or STAT 303-2)
• STAT 365-0 Introduction to the Analysis of Financial Data (Prerequisites: STAT 320-3 and MATH 240-0)

STAT elective courses (2 units)

2 additional 300-level elective courses offered by the department and approved for the Statistics major.

Statistics Major Requirements for Closely Related Majors

The department has identified the following as closely related major/minor programs that require modification to the major requirements for students to do both programs:

• Statistics Major + Mathematical Methods for the Social Sciences (MMSS) major
• Statistics Major + Integrated Science Program (ISP) major
• Statistics Major + Data Science Major
• Statistics Major + Data Science Minor
• Statistics Major + Weinberg Computer Science major/minor

Honors in Statistics

Honors in Statistics gives outstanding senior Statistics majors an opportunity to design and carry out a research project of their choice, which forms the basis of the Honors Thesis.

Declaring the Major in Statistics

For instructions on how to declare the Major in Statistics, please refer to the department's guidelines.

Additional Recommendations

Students who are considering eventually obtaining a PhD in statistics should take additional mathematics coursework. Since modern statistical work relies heavily on computers, students are also encouraged to develop skills in programming and the use of advanced statistical software. The Director of Undergraduate Studies for Statistics and other members of the faculty can recommend courses that are likely to be most valuable for those considering graduate studies.