Data Science

Degree

Bachelor of Science with a major in Data Science
College of Arts and Sciences (CAS)
School of Computer Science and Data Analytics

Contact

Jonathan H. Millen, Ph.D.
Dean, College of Arts and Sciences
casdean@une.edu 

 

Mission

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 SWAGÊÓƵ 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 RequirementsCredits
Total Credits42
Program Required CoursesCredits
DSC 110 – Survey of Software Tools1
DSC 130 – Exploring Data3
DSC 225 – Programming I or MAT 225 – Computer Programming w/MATLAB3
DSC 260 – Data Visualization3
DSC 301 – Introduction to Database Design/SQL3
DSC 344 – Machine Learning3
DSC 410 – Data Mining or DSC 420 – Predictive Modeling or DSC 490 – Topics in Data Science3
DSC 480 – Data Science Practicum3
MAT 120 – Statistics or MAT 150 – Statistics for Life SciencesCredits Fulfilled by Core Requirements
MAT 190 – Calculus I3
MAT 220 – Linear Algebra3
Total Credits28
Select Four (4) of the Following:Credits
DSC 205 – Introduction to Data Analysis and Modeling3
DSC 270 – Data Structures and Algorithms3
DSC 325 – Programming II3
GIS 364 – Spatial Data Analysis3
MAT 195 – Calculus II3
MAT 212 – Discrete Mathematics3
MAT 323 – Applied Regression Analysis3
MAT 340 – Graph Theory with Applications3
MAT 405 – Introduction to Numerical Analysis3
Total Credits12
Open elective credits (as needed to reach 120 credits)Variable
Minimum Total Required Credits120

Learning Outcomes

Students successfully completing the B.S. with a major in Data Science will:

  • Develop, test, and deploy mathematical and statistical models for data analysis, prediction, and decision making
  • Use current field-standard digital tools for data management, manipulation, organization, analysis, and visualization
  • Effectively communicate quantitative information to technical and non-technical audiences orally, in writing, and through visual formats

Minors

A student with a major in another program may minor in Data Science with the approval of the Academic Director.

Students wishing to declare a Data Science minor should complete a course plan in consultation with a Mathematical Sciences faculty member.

Students may earn a Minor in Data Science by completing the following:

Program Required CoursesCredits
DSC 130 – Exploring Data3
DSC 225 – Programming I or MAT 225 – Computer Programming w/MATLAB3
DSC 260 – Data Visualization3
DSC 344 – Machine Learning3
MAT 120 – Statistics or MAT 150 – Statistics for Life Sciences3
One (1) Program Specific Elective3–4
Minimum Total Required Credits18
Program Specific ElectivesCredits
DSC 205 – Introduction to Data Analysis and Modeling3
DSC 301 – Introduction to Database Design/SQL3
DSC 410 – Data Mining3
DSC 420 – Predictive Modeling3
DSC 490 – Topics in Data Science3
GIS 364 – Spatial Data Analysis3

Honors Program

At this time, Data Science does not offer Honors Program.

Transfer Credit

Courses previously completed at another accredited college can be transferred to this degree program beginning in Fall 2020. Transferred mathematics courses must be reasonably close in scope and content to the mathematics courses offered at SWAGÊÓƵ in order to count as exact equivalents. Otherwise, they will transfer as general electives.

All Science/Math courses previously completed must be no older than five (5) years.

See Undergraduate Admissions for more information.

Admissions

See Undergraduate Admissions for more information.

Financial Information

Tuition and Fees

Tuition and fees for subsequent years may vary. Other expenses include books and housing. For more information regarding tuition and fees, please consult the Financial Information section of this catalog.

Notice and Responsibilities Regarding this Catalog

This catalog outlines the academic programs, degree criteria, policies, and events of the SWAGÊÓƵ for the 2024–2025 academic year and serves as the official guide for academic and program requirements for students enrolling at the University during the Summer of 2024, Fall 2024, and Spring 2025 semesters.

The information provided is accurate as of its publication date on April 26, 2024.
The SWAGÊÓƵ reserves the right to modify its programs, calendar, or academic schedule as deemed necessary or beneficial. This includes alterations to course content, class rescheduling, cancellations, or any other academic adjustments. Changes will be communicated as promptly as possible.

While students may receive guidance from academic advisors or program directors, they remain responsible for fulfilling the requirements outlined in the catalog relevant to their enrollment year and for staying informed about any updates to policies, provisions, or requirements.