Statistics and Data Science Minor Requirements

The minor in Statistics and Data Science was developed to provide in-depth training in statistical methods and techniques well beyond the training usually received by science and engineering majors. The ability to understand, visualize, and analyze data is becoming an increasingly important skill in many disparate fields. This minor offers undergraduate students from any major the opportunity to develop their statistical knowledge.

Prerequisites for the Statistics and Data Science minor are two semesters of calculus and computing experiences such as provided by CSCI 1300, CSCI 1320, or CHEN 1310.

Students may earn both a BS in Applied Mathematics and a minor in Statistics and Data Science. However, the 12 upper division credits of statistics and data science required for the minor may not be counted towards the 24 credits of upper division applied math courses. The twelve upper division credits of statistics and data science may, however, count towards the 24 credits of technical electives required for all applied math majors.

Residency

A minimum of 23 credits at the 2000-level and above is required. At least three APPM or STAT courses, two of which must be at the 3000-level or above, need to be taken on the Boulder campus. No more than nine credit hours may be applied from transfer work; of those nine, no more than six may be 3000-level or above.

Minimum Grades

A cumulative GPA of 2.00 or better is required in the courses that are used to satisfy the requirements for this minor. Each individual course that is counted towards these degree requirements must be passed with a grade of C- or better.

Course Requirements

And TWO of the following courses:

Note: A student cannot earn a minor in Statistics and Data Science and a minor in Applied Mathematics with the probability and statistics emphasis.

Note: Course requirements are for 2018 and later.