Data Science / Minor

Minor Credit Hours: 18

Collecting data, like never before, has become increasingly important and useful in every academic institution, in industry, in medicine, in corporate life, and in marketing. Technical challenges associated with collecting, storing, processing, communicating, visualizing, and interpreting quantities of data are highly valued by today's employers. The courses in the Data Science minor prepare students to design and develop software and hardware solutions for maximizing the value of Big Data. Two upper-division courses and one other course in this minor may not be used to fulfill the requirements of other programs.

Minor Requirements

Minor: DATA

I. Required Courses (12)

DATA-20000	Introduction to Data Science	3
CPSC-21000	Programming Fundamentals	3
DATA-23500	Programming for Data Analysis	3
CPSC-33000	Database Systems	3

II. Probability and Statistics Option (3)

Choose 1 of the following courses:

MATH-21500	Probability and Statistics Concepts for Educators	3
MATH-22000	Applied Probability and Statistics	3
MATH-31500	Probability Theory	3
PSYC-30300	Statistics for the Social Sciences	3

III. Elective (3)

Choose 1 of the following courses:

MATH-36500	Mathematical Modeling	3
CPSC-35500	Cloud Computing and Virtualization	3
CPSC-47000	Artificial Intelligence	3
DATA-30000	Visualizing and Communicating Data Knowledge	3
DATA-40000	Big Data Systems	3
DATA-47100	Machine Learning	3
DATA-47200	Introduction to Data Mining	3