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 |
| MAT-333 | DATA ANALYTICS | 3 |
-
| Or | |
| CS-333 | DATA ANALYTICS | 3 |
| CS-211 | COMPUTER PROGRAMMING I | 4 |
-
| Or | |
| CS-231 | COMPUTER SCIENCE I | 4 |
| CS-306 | DATABASE ANALYSIS & LOGICAL DESIGN | 4 |
-
| Elective | 3 |
Approved Electives
CS 318, BUS 311, BUS 315, MKT 326, MKT 381, FIN 352, FIN 470, BIO 341 with BIO 341 L
CHE 321, MAT 252, PSY 436 or any MAT or CS course 300 or above level approved by department.
Consult catalog or your advisor for elective prerequisites.
Cross listed courses
Intro to Data Science and Data analytics 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.