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-20000Introduction to Data Science

3

CPSC-21000Programming Fundamentals

3

DATA-23500Programming for Data Analysis

3

CPSC-33000Database Systems

3

II. Probability and Statistics Option (3)

Choose 1 of the following courses:
MATH-21500Probability and Statistics Concepts for Educators

3

MATH-22000Applied Probability and Statistics

3

MATH-31500Probability Theory

3

PSYC-30300Statistics for the Social Sciences

3

III. Elective (3)

Choose 1 of the following courses:
MATH-36500Mathematical Modeling

3

CPSC-35500Cloud Computing and Virtualization

3

CPSC-47000Artificial Intelligence

3

DATA-30000Visualizing and Communicating Data Knowledge

3

DATA-40000Big Data Systems

3

DATA-47100Machine Learning

3

DATA-47200Introduction to Data Mining

3