Data Science majors must earn a minimum of 60 credits subject to the restrictions outlined below.
Core Requirements:
| Course | Title | Credits |
|---|---|---|
| MATH 1830 | Elementary Statistics | 3 |
| MATH 2130 | Discrete Structures | 3 |
| or MATH 2730 | Discrete Mathematics | |
| MATH 2640 | Calculus and Analytic Geometry I | 4 |
| MATH 2740 | Calculus and Analytic Geometry II | 4 |
| MATH 3230 | Linear Algebra | 3 |
| MATH 4030 | Statistical Methods with Applications | 3 |
| MATH 4050 | Applied Regression Analysis | 3 |
| STAT 2030 | Data Visualization and Analysis | 3 |
| COMPUTER 1430 | Introduction to Computer Programming | 3 |
| COMPUTER 2430 | Object-Oriented Programming | 3 |
| COMPUTER 3630 | Database Design and Implementation | 3 |
| GEOGRPHY 3230 | Geographic Information Systems | 4 |
| DATASCI 2010 | Data Science I | 3 |
| DATASCI 2510 | Data Science II - Intermediate Data Science | 3 |
| DATASCI 3010 | Data Science Ethics | 3 |
| DATASCI 4900 | Data Science Capstone | 3 |
Focus Area Requirement (a minimum of 9 credits in one of the following areas):
Biology - Molecular/Genetics
| Course | Title | Credits |
|---|---|---|
| BIOLOGY 3330 | Genetics | 3 |
| GEOGRPHY 3340 | Biogeography | 4 |
| BIOLOGY 3470 | Systematics and Evolutionary Analysis | 3 |
Biology - Ecological
| Course | Title | Credits |
|---|---|---|
| BIOLOGY 3450 | Ecology and Evolution | 3 |
| BIOLOGY 3460 | Ecological Methods and Research | 3 |
| GEOGRPHY 3340 | Biogeography | 4 |
Mathematics/Statistics
| Course | Title | Credits |
|---|---|---|
| STAT 3230 | Experimental Design and Analysis | 3 |
| STAT 4130 | Applied Categorical Data Analysis | 3 |
| STAT 4230 | Applied Nonparametric Statistics | 3 |
| MATH 3730 | Numerical Analysis | 3 |
Business (a minor in Business is recommended for this focus area)
| Course | Title | Credits |
|---|---|---|
| BUSADMIN 3640 | Financial Markets and Institutions | 3 |
| BUSADMIN 3700 | Marketing Research | 3 |
| BUSADMIN 3930 | Investments | 3 |
| BUSADMIN 4030 | Financial Decision Making | 3 |
| BUSADMIN 4120 | Operations Management | 3 |
| BUSADMIN 4170 | Predictive Analytics | 3 |
Spatial
| Course | Title | Credits |
|---|---|---|
| GEOGRPHY 3520 | Remote Sensing of the Environment | 3 |
| GEOGRPHY 4040 | Python for GIS | 3 |
| GEOGRPHY 4330 | Advanced Geographic Information Systems | 4 |
Computer Science
| Course | Title | Credits |
|---|---|---|
| COMPUTER 2630 | Data Structures | 3 |
| COMPUTER 3030 | Artificial Intelligence | 3 |
| COMPUTER 4030 | Machine Learning | 3 |
Additional Requirement: Cumulative GPA of 2.5 minimum.
Recommended: Internship or Undergraduate Research Experience