Majors in Statistical Science

The major in Statistical Science is structured to teach students about the discipline of statistics and provide them with an opportunity to develop a substantial undergraduate research experience. We offer both a Bachelor of Science and a Bachelor of Arts in Statistical Science.

Required Courses:

  • Bachelor of Science: 9 Statistics courses and 5 prerequisite courses
  • Bachelor of Arts: 8 Statistics courses and 5 prerequisite courses

Prerequisites

The skills developed and techniques explored in these courses are necessary for study of advanced statistical methods in the major:

  • MATH 21 Introductory Calculus I OR MATH 111L Laboratory Calculus I
  • MATH 122 Introductory Calculus II OR MATH 112L Laboratory Calculus II
  • MATH 212 Multivariable Calculus OR MATH 222 Advanced Multivariable Calculus OR MATH 202 Multivariable Calculus for Economics
  • MATH 218 Matrices and Vector Spaces (good option for many students) OR MATH 221 Linear Algebra and Application (required for math majors, preferred for statistical science students thinking about graduate study in statistics or mathematical science) OR MATH 216 Linear Algebra and Differential Equations (introductory course; some students may find this less engaging than 218 or 221)
  • COMPSCS 101L Introduction to Computer Science OR COMPSCI 201 Data Structures and Algorithms. Other COMPSCI courses require pre-approval from the DUS

Recommended

  • STA 199 Intro to Data Science (We recommend that students wishing to major in Statistical Science start with this course.)

Core

  • STA 210 Regression Analysis
  • STA 240L Probability for Statistics (Recommended starting Spring 2020) or STA 230 Probability (MATH 230)
  • STA 250 Statistics (MATH 342)
  • STA 360 Bayesian and Modern Statistics (It is essential that you take this course by the end of your junior year.)
  • STA 440 Case Studies in the Practice of Statistics (Taken during the fall semester of senior year.)

Electives

Electives are intended to provide breadth in statistical thinking and methods. All electives must contain statistical content beyond what is covered in STA 210. STA199 is allowed to count as a statistics elective, but STA 611 (Introduction to Mathematical Statistics) cannot be used towards this requirement. Up to 2 independent study courses can be used towards this requirement. Faculty advisors and the Director of Undergraduate Studies will help majors to select elective courses in accordance with their academic goals. See Course Descriptions and Pathways for potential choices.

  • Bachelor of Arts: 3 Statistical Science electives
  • Bachelor of Science: 3 Statistical Science electives plus 1 elective from an applied field, such as engineering, mathematics, natural sciences, or one of the quantitative social sciences. Applied elective must come from the list of approved courses or must be pre-approved by the Director of Undergraduate Studies. See here for more information on this requirement.

Considering Graduate Study in Statistical Science or a Closely-Related Field?

Students considering graduate study in statistical science or a closely-related field are very strongly encouraged to get as much experience in theoretical mathematics as possible, taking MATH 221 as the linear algebra option and taking a course in real analysis (MATH 531 or 431, preferred in that order). If you're nervous about going straight into real analysis, please consider MATH 240 or MATH 245 as an intermediate step between your linear algebra course (216, 218, or 221) and real analysis.

Typical Course of Study

The following shows typical pathways you might take to achieve your Bachelor of Science major. Students seeking the Bachelor of Arts major would not take the Applied Elective shown in the charts.

If you are thinking of studying abroad, it is important to plan ahead, and an early consultation with the DUS is strongly recommended so that your courses are well-timed to accommodate such study.

For students entering without Calculus background
  Fall Semester Spring Semester
1st Year

Calculus I                                     
COMPSCI 101L Intro to Computer Science

Calculus II
STA 199 Intro to Data Science (counts as statistics elective)
2nd Year Multivariable Calculus
STA 210 Regression Analysis
Linear Algebra
STA 240L Probability for Statistics
3rd Year STA 250 Statistics STA 360 Bayesian and Modern Statistics
Applied Elective
4th Year

STA 440 Case Studies
Statistics Elective

Statistics Elective (possibly honors thesis research)

 

For students entering with one semester of Calculus
  Fall Semester Spring Semester
1st Year Calculus II
COMPSCI 101L Intro to Computer Science
Multivariable Calculus 
STA 199 Intro to Data Science (counts as statistics elective)
2nd Year STA 210 Regression Analysis
STA 240L Probability for Statistics
Linear Algebra
Applied Elective
3rd Year STA 250 Statistics STA 360 Bayesian and Modern Statistics
Statistics Elective
4th Year STA 440 Case Studies
 
Statistics Elective (possibly honors thesis research)

 

For students entering with two semesters of Calculus
  Fall Semester Spring Semester
1st Year Multivariable Calculus
STA 199 Intro to Data Science (counts as statistics elective)
STA 240L Probability for Statistics 
COMPSCI 101L Intro to Computer Science
2nd Year Linear Algebra
STA 210 Regression Analysis
STA 250 Statistics
STA 360 Bayesian and Modern Statistics
3rd Year Statistics Elective Applied Elective
4th Year STA 440 Case Studies
Statistics Elective (possibly honors thesis research)