ÐÓ°ÉÊÓÆµ

Data Science

Contact

James Quinlan, Ph.D.
Associate Professor, School of Mathematical and Physical Sciences
jquinlan@une.edu

Degree name
Bachelor of Science with a major in Data Science
Sections

Mission

The Data Science Bachelor of Science degree 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 Data Science B.S. program at ÐÓ°ÉÊÓÆµ gives you the opportunity to apply your passion for mathematical modeling and computing to problems involving the analysis of data and the design of models for extracting information, making predictions, and for decision-making. Beginning with foundational mathematics, statistics, and computing, you will develop techniques in visualization, machine learning, and data mining. Industry partnerships with local employers provide opportunities to apply these techniques and refine your expertise through project based learning experiences throughout the curriculum as well as in a senior practicum.  

Curricular Requirements

CAS Core Requirements Credits
Total 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 480 - Data Science Practicum 3
MAT 120 Statistics or MAT 150 - Statistics for Life Sciences Credits included in Core
MAT 190 - Calculus I 4
MAT 220 - Linear Algebra 3
Total 26
Elective Requirements Credits
DSC 205 - Introduction to Data Analysis and Modeling 3
DSC 270 - Data Structures and Algorithms 3
DSC 325 - Programming II 3
DSC 410 – Data Mining 3
DSC 420 – Predictive Modeling 3
DSC 490 – Topics in Data Science 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
Program Elective Courses* 15-17
Open Elective Courses (needed to reach 120) 35-37