Beginning in the fall of 2020, our Probability course was renumbered and our Statistics courses received a new STAT designation and new numbers. The content of each course will remain the same; only the numbers and designations are changing. See a list of the old numbers and designations alongside the corresponding new numbers and designations.

The requirements for the Statistics Major are 74 credits:

  • A.  Supporting Courses (30 credits) Take either Mathematics 101 or 111 and either Mathematics 210 or 211 and all of remaining courses listed:
  • B.  Required Core (18 credits): All of the following, of which at least two must be taken at Carleton
  • C. Electives (18 credits): Three electives, of which at least two must be Carleton courses with a Statistics designation
    • CS 314 Data Visualization
    • CS 320 Machine Learning (not offered in 2022-23)
    • CS 362 Computational Biology (not offered in 2022-23)
    • MATH 271 Computational Mathematics
    • STAT 220 Introduction to Data Science
    • STAT 260 Introduction to Sampling Techniques (not offered in 2022-23)
    • STAT 310 Spatial Statistics
    • STAT 320 Time Series Analysis (not offered in 2022-23)
    • STAT 330 Advanced Statistical Modeling
    • STAT 340 Bayesian Statistics
  • D. Statistical Practice (2 credits):
    • Statistics 285 (formerly Mathematics 280) Statistical Consulting 

In addition, each senior major must complete an integrative exercise. Statistics 400 (6 credits), which can be either a group or individual project. 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.

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.