Mathematics Major, Data Science Track, B.A. or B.S.

The Mathematics major with a Data Science track is tailored to develop highly skilled data scientists through a rigorous and comprehensive curriculum that integrates mathematics, statistics, and computer science. Graduates of the Data Science track will possess a deep understanding and proficiency in various aspects of data science, including data management and integration, data structures and algorithms, data analytics and machine learning methods, data visualization and reporting, as well as a solid foundation in mathematics, statistics, and computer science. This prepares them for further graduate study in data science or related fields, equipped with the specialized skills and knowledge necessary for success in the ever-evolving field of data science.

(54 Credits)

Students majoring in the Mathematics Data Science track may not minor in Mathematics or Computer Science.

Required Core Courses (30 credits)

MATH 223Beginning Statistics

3

MATH 230Calculus with Analytic Geometry I

4

MATH 231Calculus with Analytic Geometry II

4

MATH 232Calculus with Analytic Geometry III

4

MATH 300Introduction to Linear Algebra

4

MATH 310Numerical Analysis

3

MATH 314Probability Models

3

MATH 494Senior Math Community Service

1

MATH 495Senior Seminar

4

Required Track Courses (24 credits)

CSCI 170Software Design Principles

3

CSCI 220Introduction to Programming

4

CSCI 230Data Structures and Algorithms

4

CSCI 319Introduction to Artificial Intelligence

3

CSCI 354Database Management Systems

4

BSAD 330Data Analytics

3

MATH 340Data Mining and Visualization

3

Total Credit Hours: 54