Policy on prerequisites: A grade of C- or better is required for a course in mathematics to fulfill a prerequisite for another mathematics course. A student must receive the permission of the mathematics department to take a mathematics course that is a prerequisite for a mathematics course for which they have previously received credit. 

A grade of C or better is required for a course in computer science to fulfill a prerequisite for another computer science course.

Summary

Course List

Code	Title	Credits
Data Science B.S. Major Requirements		58-63
Integrative Core Curriculum Requirements and Electives 1		57-62
Total Credits		120

¹

This major is not approved to fulfill a perspective course for the Integrative Core Curriculum.

Degree Requirements

An overall GPA of C (2.00) or above is required in courses that are being used to fulfill the minimum course requirements for the data science major. No more than one passing grade below C- may be used.

Course List

Code	Title	Credits
Data Core
MATH 14800	Introduction to Data Science	4
MATH 18700	Introduction to Applied Linear Algebra	4
MATH 24100	Data Visualization	1
MATH 24800	Statistical Methods for Data Analysis	4
COMP 27500	Relational Database Systems	4
MATH 34800	Modern Data Science with R	3
COMP 35600	Machine Learning	4
MATH 44800	Data Science Senior Project	3
Mathematics Core
MATH 10800	Applied Calculus	4
or MATH 11100	Calculus I
COMP 21500	Discrete Structures	4
Programming Core
COMP 17100	Computer Programming I	4
COMP 17200	Computer Programming II	4
Domain Core
In consultation with their advisor, students must complete two courses outside of mathematics and computer science in a domain area. Domain area course must meet the following criteria:		6-8
1) Must be at the 200-level or above
2) Must be 3-credit or 4-credit courses
3) Cannot have the subject code COMP or MATH
Restricted Electives
Select three courses with the Data Science (DCSI) attribute. 1		9-12
Total Credits		58-63

¹

Some electives may have additional prerequisites.