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Data Science / Minor

Minor Credit Hours: 21

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.

Degree Requirements

I. Required Courses (12)

70-200Introduction to Computer Science

3
70-235Programming for Data Analysis

3
70-330Database Systems

3
70-472Introduction to Data Mining

3

II. Probability and Statistics Option (3)

Choose one of the following courses:
13-215Probability and Statistics Concepts for Educators

3
13-314Applied Probability and Statistics

3
13-315Probability and Statistics I

3
26-303Statistics for the Social Sciences

3

III. Electives (6)

Choose two of the following courses:
13-425Mathematical Modeling

3
70-247Web and Distributed Programming

3
70-250File Systems and Digital Forensics

3
70-315Scientific Computing

3
70-355Cloud Computing and Virtualization

3
70-470Artificial Intelligence

3
70-471Machine Learning

3