Data Science Minor
Hongming Wang, Ph.D.
Associate Director, School of Computer Science and Data Analytics
hwang7@une.edu
Mission
The Data Science minor inspires students to become innovators who make impactful contributions through data analysis, modeling, computation, and simulation. The program fosters flexible and creative approaches for problem solving and the ability to gain insights about complex relationships and interdependencies, and to describe and communicate these insights for prediction and decision making.
Program Description
A student with a major in another program may minor in Data Science with the approval of the Associate Director of the School of Computer Science and Data Analytics.
Students wishing to declare a Data Science minor should complete a course plan in consultation with a Computer Science and Data Analytics faculty member.
Curricular Requirements
Students may earn a Minor in Data Science by completing the following:
| Program Required Courses | Credits |
|---|---|
| DSC 130 – Exploring Data | 3 |
| DSC 225 – Programming I or MAT 225 – Computer Programming w/MATLAB | 3 |
| DSC 260 – Data Visualization | 3 |
| DSC 344 – Machine Learning | 3 |
| MAT 120 – Statistics or MAT 150 – Statistics for Life Sciences | 3 |
| One (1) Program Specific Elective | 3–4 |
| Minimum Total Required Credits | 18–19 |
|---|
| Program Specific Electives | Credits |
|---|---|
| DSC 205 – Introduction to Data Analysis and Modeling | 3 |
| DSC 301 – Introduction to Database Design/SQL | 3 |
| DSC 410 – Data Mining | 3 |
| DSC 420 – Predictive Modeling | 3 |
| DSC 490 – Topics in Data Science | 3 |
| GIS 364 – Spatial Data Analysis | 3 |
Please note: While some courses can fulfill both core and program requirements, the credits earned do not count twice towards the minimum total required credits for the degree.