Degree
Bachelor of Science with a major in Data ScienceMission
The Bachelor of Science with a major in Data Science program 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.
Major Description
In recent years the explosion of data in a wide range of fields has created a wealth of opportunities for data science professionals, and the demand for people with the right skills continues to grow. The B.S. with a major in Data Science program at ÐÓ°ÉÊÓƵ gives students the opportunity to apply their passion for mathematical modeling and computing to problems involving the analysis of data and the design of models for extracting information, making predictions, and decision-making.
Beginning with foundational mathematics, statistics, and computing, students will develop techniques in visualization, machine learning, and data mining.
Industry partnerships with local employers provide opportunities for students to apply these techniques and refine their expertise through project-based learning experiences throughout the curriculum as well as in a senior practicum.
Curricular Requirements
| CAS Core Requirements | Credits |
|---|---|
| Total Credits | 42 |
| Program Required Courses | Credits |
|---|---|
| DSC 110 – Survey of Software Tools | 1 |
| DSC 130 – Exploring Data | 3 |
| DSC 225 – Programming I or MAT 225 – Computer Programming w/MATLAB | 3 |
| DSC 260 – Data Visualization | 3 |
| DSC 301 – Introduction to Database Design/SQL | 3 |
| DSC 344 – Machine Learning | 3 |
| DSC 410 – Data Mining or DSC 420 – Predictive Modeling or DSC 490 – Topics in Data Science | 3 |
| DSC 480 – Data Science Practicum | 3 |
| MAT 120 – Statistics or MAT 150 – Statistics for Life Sciences | Credits Fulfilled by Core Requirements |
| MAT 190 – Calculus I | 3 |
| MAT 220 – Linear Algebra | 3 |
| Total Credits | 28 |
| Select Four (4) of the Following: | Credits |
|---|---|
| DSC 205 – Introduction to Data Analysis and Modeling | 3 |
| DSC 270 – Data Structures and Algorithms | 3 |
| DSC 325 – Programming II | 3 |
| GIS 364 – Spatial Data Analysis | 3 |
| MAT 195 – Calculus II | 3 |
| MAT 212 – Discrete Mathematics | 3 |
| MAT 323 – Applied Regression Analysis | 3 |
| MAT 340 – Graph Theory with Applications | 3 |
| MAT 405 – Introduction to Numerical Analysis | 3 |
| Total Credits | 12 |
| Open elective credits (as nee |