Why Elms for your Data Analytics minor?
- Increase your ability to analyze, understand, and interpret raw data using interdisciplinary thinking.
- Translate your knowledge in creative ways, including genome sequencing for biotech, consumer behavior analysis for business, and machine learning for image recognition.
Discover New Breakthroughs Using Data Science
The data analytics minor teaches you to combine scientific, mathematical, computational, and business analytic methods to process and interpret data. Data analysis is a desirable skill in virtually every field, as large volumes of data are generated by businesses, governments, and organizations every day. Data scientists fill critical needs in these settings by extracting insights and knowledge from data sets.
Enter a Rapidly Growing Field
Knowledge of data analytics can translate into a lucrative professional career. From 2016 to 2026, jobs for statisticians are expected to grow 33%. Data scientist is routinely rated one of the best jobs in the U.S. based on salary and job satisfaction.
Students interested in data analytics should also explore our computer science and computer information technology and security majors, which offer solid foundations in coding, programming, cyber security, and more.
Quick Info
A certificate track is available for students not enrolled as full-time undergraduates.
Curriculum
Click to view course requirements for the Data Analytics minor.
Required Courses (9 credits)
| Course # | Course Name | # of Credit Hours |
|---|---|---|
| MAT 1009 | Statistics (or, variations of the course offered by the Division of Business) | 3 |
| CIT 3100 | Data Analytics | 3 |
| CIT 4105 | Data Analytics Capstone | 3 |
Elective Courses (9 credits)
| Course # | Course Name | # of Credit Hours |
|---|---|---|
| Choose 3 courses from the following electives, which may be courses in your major. | 3 | |
| BIO 3201 | Genetics | 3 |
| BIO 5201 | Genetics | 3 |
| BIO 3330 | Biotechnology | 3 |
| BIO 5330 | Biotechnology | 3 |
| BMS 5009 | Epidemiology & Biostatistics | 3 |
| BUS 2201 | Computer Applications | 3 |
| BUS 5002 | Excel Foundations/MBA | 3 |
| CIT 2103 | Introduction to Programming | 3 |
| CIT 2105 | Database Design | 3 |
| CIT 2100 | Artificial Intelligence | 3 |
| CIT 3102 | Advanced Programming | 3 |
| CIT 4205 | Special Topics: Python | 3 |
| MAT 2005 | Linear Algebra | 3 |
| MAT 3105 | Probability and Statistics | 3 |
| MAT 3700 | Discrete Math | 3 |
| MAT 4300 | Actuarial Math | 3 |
| PSY 2002 | Statistics for Behavioral Science | 3 |
| PSY 2100 | Research Methods | 3 |
| PSY 4000 | Independent Study | 3 |