Data Analytics Minor
The Data Analytics minor will equip students with a fundamental study of concepts and methodologies in data analysis including basic probability, statistics, and programming skills which are necessary knowledge components for data analysts. The curriculum will enable students to develop skills to manipulate and process large amounts of data to provide solutions for businesses, scientific research or any other entity with big data. The minor consists of the following 20 credits:
Degree Requirements
Minor (20 credits)
| MAT-152 | ELEMENTARY PROBABILITY AND STATISTICS | 3 |
-
| Or | |
| MAT-356 | STATISTICS FOR SCIENCE | 3 |
| MAT-204 | INTRODUCTION TO DATA SCIENCE | 3 |
-
| Or | |
| CS-204 | INTRODUCTION TO DATA SCIENCE | 3 |
| CS-211 | COMPUTER PROGRAMMING I | 4 |
-
| Or | |
| CS-231 | COMPUTER SCIENCE I | 4 |
| CS-306 | DATABASE ANALYSIS & LOGICAL DESIGN | 4 |
| MAT-316 | DATA VISUALIZATION | 3 |
-
| Or | |
| CS-316 | DATA VISUALIZATION | 3 |
| MAT-333 | DATA ANALYTICS | 3 |
-
| Or | |
| CS-333 | DATA ANALYTICS | 3 |
Cross listed courses
Data Analytics courses are cross listed and can be taken as a math or as a computer science course.
All courses in the minor must be completed with a grade of “C” or better.