Data Science Minor

Data science is broadly applicable to all fields of study, particularly in natural and social sciences. Combining domain knowledge of a particular field with the ability to work with and analyze data is invaluable to employers and researchers alike. This set of courses is designed to give students a basic foundation in statistics, programing, and data science that will be meaningful and marketable upon graduation. Students should work with their major advisor and mathematics program coordinator for direction on variable credit courses.

Minimum Credit Hours 18
CIS S170Programming Fundamentals3
STAT S200*Elementary Statistics3
STAT S210Introduction to Data Science3
Choose 9 credits from the following: 19
BA S373Principles of Data Analytics3
BIOL S355Experimental Design and Data Analysis4
CIS S235Spreadsheet Concepts and Applications3
CIS S430Database Management Systems3
ENVS S314Data Visualization2
ENVS S338Introduction to Geographic Information Systems (GIS)3
ENVS S406Remote Sensing3
ENVS S410Advanced Geographic Information Systems3
MATH S314Linear Algebra3
STAT S400Statistical Computing with R2
STAT S401Regression and Analysis of Variance4
A maximum of 3 elective credits may be from an internship, independent study, or research. 23
1

It is recommended 6-9 credits are taken from a single discipline (BIOL/ENVS, CIS, STAT) or 6 credits in one discipline and an additional 3 credits in another discipline or an independent study, research, or internship.

2

Credits in an independent study, research, and/or an internship must be approved by the student's major advisor and the mathematics program coordinator. With approval, these may include but are not limited to BA S391, BA S397, BA S398, BIOL S391, BIOL S397, BIOL S398, CIS S391, CIS S397, CIS S398, ENVS S391, ENVS S397, ENVS S398, MATH S391, MATH S397, MATH S398, STAT S391, STAT S397, STAT S398.