Data Science / Minor
Program: DATA
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
| Code | Title | Hours |
|---|---|---|
| Required Courses | ||
| DATA 20000 | Introduction to Data Science | 3 |
| CPSC 21000 | Programming Fundamentals | 3 |
| DATA 23500 | Programming for Data Analysis | 3 |
| CPSC 33000 | Database Systems | 3 |
| Probability and Statistics Option | ||
| Select one of the following: | 3 | |
| Business Statistics | ||
| Probability and Statistics Concepts for Educators | ||
| Applied Probability and Statistics | ||
| Probability Theory | ||
| Statistics for the Social Sciences | ||
| Electives | ||
| Select one of the following: | 3 | |
| Mathematical Modeling | ||
| Cloud Computing and Virtualization | ||
| Artificial Intelligence | ||
| Visualizing and Communicating Data Knowledge | ||
| Big Data Systems | ||
| Machine Learning | ||
| Introduction to Data Mining | ||
| Total Hours | 18 | |