The statistics major can lead to many stimulating and interesting careers. For some examples, check out thisisstatistics.org.
If you are thinking about majoring in statistics, you should go to Seeley Mudd and talk to a statistics professor (Profs. Horton, Liao, and Wagaman). In the meantime, this page provides an outline of the requirements for a major. (The catalog is the official word on these matters, so read it, too.) If you are trying to pick a statistics course in order to explore the topic, please see our suggestions for choosing a statistics course.
Once you have decided to declare the major, you will need to obtain the appropriate form from the Registrar's page, complete it, and have the current Mathematics and Statistics Department chair, as well as your current advisor, sign it, before returning it to the Registrar.
As you proceed through the major or are trying to decide if you can complete it, check out our overview of the Statistics Major:
as well as our checklist for the Statistics Major:
You might also want to check out our example pathways through the statistics major. Please note that prospective majors are expected to take Stat 230 before declaring the statistics major.
Once you have decided to declare the major, you will need to obtain the appropriate form from the Registrar's page, complete it, and have the current Mathematics and Statistics Department chair, as well as your current advisor, sign it, before returning it to the Registrar.
Course Renumberings and Prerequisite Changes
Several statistics courses were renumbered in the Fall of 2015.
The senior capstone in Statistics (Stat 495) beginning in Fall 2015 has prerequisites of Stat 230 and Stat 370 (formerly Stat 430), and one computing course for the major's computing requirement will need to have been completed. Students interested in a statistics major are encouraged to consider this during course selection. We recommend interested students take the Probability/Theoretical Statistics sequence during their junior years (or during the sophomore year for those planning to study abroad at an institution which does not offer these courses). For more information, please contact a statistics professor.
Clarification on Intro Stats for Math Majors
Stat 111 does NOT count towards the mathematics major. However, students that took the course while it was still Math 130 may count it towards the mathematics major as a mathematics elective. Either introductory course (Stat 111 or Stat 135) counts towards the statistics major, though Stat 135 is recommended. We strongly encourage students with questions about the mathematics and statistics majors to talk to a faculty member in the Department.
Courses for the Major in Statistics
Please note that changes to the Statistics major will begin for majors in the class of 2018 and beyond declaring after May 7, 2016. The current and updated requirements are listed below in appropriate sections.
For majors in the class of 2016 and 2017, and all other majors who declared statistics before May 7, 2016
The statistics major requires 11 total courses, in several areas, as follows:
Required Math Background Courses
 Introduction to the Calculus (Mathematics 111)
 Intermediate Calculus (Mathematics 121)
 Multivariable Calculus (Mathematics 211)
 Linear Algebra (Mathematics 271 or 272)
Required Statistics Courses
 Introduction to Statistics (Statistics 111 or 135)
 Intermediate Statistics (Statistics 230)
 Probability (Statistics 360)
 Theoretical Statistics (Statistics 370) (formerly Stat/Math 430)
 Advanced Data Analysis (Statistics 495)  capstone course
Statistics majors may not take any of the core courses STAT 111/135, 230, 360, 370, or 495 pass/fail (exceptions by petition to the department after first obtaining both advisor and instructor approval).
Elective Courses
Along with the required courses, a major must complete two elective courses as follows:
A. (Depth Requirement) One elective course in Statistics at the 200 level or higher to satisfy a depth requirement in statistics.
B. (Computing Requirement) Math 140 or Cosc 111 or another approved elective to satisfy a computing requirement. All students are encouraged to complete a second course in computer science.
For majors in the class of 2018 and beyond, declaring statistics after May 7, 2016
The statistics major requires 12 total courses, in several areas, as follows:
Required Math Background Courses
 Introduction to the Calculus (Mathematics 111)
 Intermediate Calculus (Mathematics 121)
 Linear Algebra (Mathematics 271 or 272)
Required Statistics Courses
 Introduction to Statistics (Statistics 111 or 135)
 Intermediate Statistics (Statistics 230)
 Probability (Statistics 360)
 Theoretical Statistics (Statistics 370) (formerly Stat/Math 430)
 Advanced Data Analysis (Statistics 495)  capstone course
Statistics majors may not take any of the core courses STAT 111/135, 230, 360, 370, or 495 pass/fail (exceptions by petition to the department after first obtaining both advisor and instructor approval).
Elective Courses
Along with the required courses, a major must complete four elective courses as follows:
A. (Depth Requirement) Two elective courses in Statistics at the 200 level or higher to satisfy a depth requirement in statistics.
B. (Computing Requirement) Two courses in Computer Science at the level of 111 or higher (typically COSC111 and COSC112) to satisfy a computing requirement.
For All Majors  Information on Placing Out
Depending on background, statistics majors may place out of several of these courses. Students who have placed out of calculus, introductory statistics, or introductory computer science are excused from taking those courses. Statistics majors may place out of up to three courses without having to replace those courses. Students placing out of more than three courses must replace all but three of those courses with additional courses approved by the Department to complete the major.
To gain approval for an alternate elective, students must file a petition for the Department to consider. To submit a petition, email the chair of the Department with relevant information about the course to be considered, for example, a syllabus from a recent semester of the course or a link to the course description.
Graduate School
Students planning to attend graduate school in statistics are strongly advised to take MATH 211 (Multivariable Calculus), MATH 355 (Introduction to Analysis), and MATH 450 (Functions of a Real Variable). Please see the pathway through the major for graduate school for additional suggestions on courses of study to prepare for graduate school in statistics.
Double Majoring in Mathematics and Statistics
Students electing a double major in Mathematics and Statistics may count MATH 111, MATH 121, MATH 211 (for majors for which this is required), and MATH 271 or 272 towards both majors. A maximum of one additional course taken to complete the Mathematics major may be counted towards the Statistics major. Ask a statistics or mathematics faculty for assistance if you are trying to figure this out! In short, a minimum of 17 (or 19 under the new requirements) courses would be needed to complete both majors with this overlap. A checklist for double majors in mathematics and statistics can be found here:
Comprehensive Evaluation
In the fall of their senior year, all Statistics majors will enroll in the capstone course STAT 495, and complete a capstone project under faculty supervision. An extension of the capstone project completed individually by the student (in the spring semester of senior year) or a preliminary version of the thesis (for thesis students) will serve as the basis for a comprehensive evaluation of each student's achievement in the major. Each student's project will be assessed by the Statistics faculty in the Department to determine if the student has successfully completed the comprehensive evaluation. (Those for whom the second semester of the junior year occurs in the fall should enroll in STAT 495 in that semester in order to complete the extension of the capstone project and satisfy the comprehensive evaluation). More information about the comprehensive evaluation may be found here.
Honors Program
Students are admitted to the Honors Program on the basis of a qualifying examination given at the beginning of the spring semester of their junior year. (Those for whom the second semester of the junior year occurs in the fall may elect instead to take the qualifying examination at the beginning of that semester.) The core part of the examination is identical to the core portion of the honors qualifying exam/comprehensive examination for Mathematics and is described here. For statistics, the subject exam taken is in Probability.
Before the end of the junior year, an individual thesis topic will be selected by the Honors candidate in conference with a member of the Department. After intensive study of this topic, the candidate will write a report in the form of a thesis which should be original in its presentation of material, if not in content. In addition, the candidate will report to the departmental colloquium on their thesis work during the senior year. Honors candidates are not required to complete additional coursework in statistics apart from thesis courses.
Other Aspects of the Statistics Major
 Departmental Colloquium: All students majoring in Statistics are expected to attend the departmental colloquium during their junior and senior years.
 Application Area: In conjunction with their advisor, statistics majors are encouraged to ensure that their course of study includes depth in an application area (e.g., sociology, psychology, or environmental science).
 Honors Student Office: All students in the Honors Program in Statistics can use the Honors Student Office (013 Seeley Mudd). Depending on the space available, other senior Statistics majors may petition the Chair to use the Honor Student Office.
 Study Abroad: It is easy to combine the statistics major with a semester or year spent abroad, but planning is needed to satisfy the requirements for the senior seminar in Statistics. See Study Abroad.
Learning Goals
Upon completion of the Statistics major, we expect our graduates:

To have acquired proficiency with the application of a wide range statistical techniques, as well as a theoretical foundation including a strong mathematical background (including linear algebra) and statistical background in probability and statistical inference.
 To have developed computational and data analysis skills including facility with statistical software and acquisition of data management skills, with an emphasis on reproducible analysis.

To have demonstrated in a variety of courses and in several formats, the ability to clearly communicate results of statistical analyses, as well as the ability to read and understand statistical techniques in primary research.

For honors students, to have delved deeply into an advanced topic and written a clear and detailed exposition in the form of a senior thesis.