Major Requirements – 77 Total Credits

Supporting Courses – Required 30 credits

Core Courses – Required 18 credits

All of the following, of which at least two must be taken at Carleton

Elective Courses – Required 18 credits

Three electives, of which at least two must be Carleton courses with a Statistics designation. One of the three electives must be a 300-level course with a Statistics designation.

  • CS 314: Data Visualization (not offered 2025-26)
  • CS 314*: Data Visualization (*=Junior Seminar)
  • CS 320: Machine Learning
  • CS 320*: Machine Learning (*=Junior Seminar) (not offered 2025-26)
  • CS 362: Computational Biology
  • MATH 271: Optimization
  • STAT 220: Introduction to Data Science
  • STAT 260: Introduction to Sampling Techniques
  • STAT 270: Statistical Learning (not offered 2025-26)
  • STAT 310: Spatial Statistics (not offered 2025-26)
  • STAT 320: Time Series Analysis (not offered 2025-26)
  • STAT 330: Advanced Statistical Modeling
  • STAT 340: Bayesian Statistics

Statistical Practice – Required 2 credits

Senior Seminar and Senior Integrative Exercise – Required 9 credits

In addition, each senior major must complete an integrative exercise. This is a two-term group project. There is no independent comps in the statistics major. Each senior will first enroll in STAT 399: Senior Seminar: Senior Seminar (6 credits); the following term they will complete their comps in STAT 400: Integrative Exercise: Integrative Exercise (3 credits).

  • STAT 399: Senior Seminar (6 credits)
  • STAT 400: Integrative Exercise (3 credits)

Statistics Talk Credits

Majors must accumulate eight talk credits during their junior and senior year by attending department colloquia and the comps talks of their fellow mathematics or statistics majors. Students who major in both Mathematics and Statistics must accumulate a total of thirteen talk credits. We encourage majors to participate in the numerous activities that take place in the department.

Additional Departmental Notes

Normally, a statistics major must be declared by the last day of finals in the winter term of a student’s junior year.

We recommend statistics majors also take courses in a discipline in which statistics can be applied. Students interested in data science should consider taking additional computer science courses.

Students considering graduate school in statistics or biostatistics are strongly encouraged to take Mathematics 236 (Mathematical Structures) and Mathematics 321 (Real Analysis). Consult a statistics faculty member for more information specific to your choice of program.