Requirements: Data Science Minor

MINOR REQUIREMENTS – 20 credits

(Minimum grade of “C-“ required in each course)
 
Course Number
Course Name
Prerequisites
DATA SCIENCE I: METHODS AND CONTEXT
None
DATA SCIENCE II: THEORY AND PRACTICE
CS1060 OR CS1060CCDI OR CS1060CCI OR DS1060CCDI
CS or MA xxxx
Select three courses from the following:

DS1020CCM/MA1020CCM APPLIED STATISTICS I
CS1040CCD INTRO TO COMPUTER PROGRAMMING I
DS2020/MA2020 APPLIED STATISTICS II
MA2041 LINEAR ALGEBRA
MA3005 PROBABILITY
CS3026/DS3026 ARTIFICIAL INTELLIGENCE
DS3066/MA3066 MULTIVARIATE STATISTICAL ANALYSIS
CS3068/DS3068 DATABASE APPLICATIONS

Internship approved by the Data Science Program Coordinator
A course in the student’s major approved by the Data Science Program Coordinator 
CS or MA xxxx
CS or MA xxxx

 

MINOR GUIDELINES

Minors must be completed at the same time as the BA or BS degree. No more than 8 credits from courses taken outside AUP may be applied towards a minor, and these courses must be specifically accepted by the department supervising the minor. All courses counting in a minor must be completed with a minimum 2.0 cumulative grade point average, with no individual grade lower than “C-.”

Courses taken to satisfy requirements for a minor must include at least three courses which are not being applied towards a major or towards another minor. Courses taken to satisfy the Core Curriculum requirements, including FirstBridge courses, may be applied towards a minor. Minors do not appear on diplomas but are noted on students' transcripts. A self-designed minor is an option for students with a GPA of 3.5 or higher; the student and her or his advisor design these minors.