Course List

Code	Title	Hours
Required Data Science Courses (6 credits)
DATA 2500	Data Science I	3
DATA 4500	Data Science II	3
Required Statistics Course - Choose One Course (3 credits)		3
MATH 2600	Introduction To Statistics
MATH 3610	Statistical Methods I
ECON 2810	Introduction to Econometrics
PSY 2100	Statistical Methods
Elective Courses (9 credits)		9
DATA 4260	Data Visualization
CSET 3300	Database-Driven Web Sites
DANN 2000	Proseminar in Data Analytics I
DANN 4000	Proseminar in Data Analytics II
ECON 3810	Applied Econometrics
EECS 4750	Machine Learning
EEES 4160	Environmental Data Management and Visualization
MATH 3610	Statistical Methods I
MATH 3620	Statistical Methods II
PHIL 3160	Data Science Ethics
Total Hours		18

Appropriate substitutions for the statistics requirement or elective courses are possible with approval of the program director.

MATH 3610 requires completion of the prerequisite Calculus II (MATH 1860) course prior to enrolling.

Students may not take any courses required in  the Data Science minor as P/NC.

• Understand the lifecycle of data by locating, evaluating, and preparing data for analysis to make it usable for solving real-world problems.
• Apply mathematical and statistical reasoning to extract meaningful insights from data.
• Present data-driven results clearly and responsibly.