Data Science

Degree

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

Contact

Michael Arciero, Ph.D.

Chair, Department of Mathematical Sciences

marciero@une

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. Indeed, there are few if any fields in which the tools of data science are not increasingly relied upon, and the demand for people with the right skills continues to grow. The Data Science B.S. program at 91Ö±²¥ÊÓƵgives 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 data mining, statistical and machine learning, predictive modeling, and data visualization. Industry partnerships with local employers provide opportunities to refine your expertise through project based learning experiences throughout the curriculum as well as in a senior practicum.  These partnerships have also created pathways to permanent employment for our graduates.

Curricular Requirements

  Credits
CAS CORE REQUIREMENTS (EXCLUDING MATHEMATICS) 39-42
  Credits
Program Required Courses  
MAT 150 - Statistics for Life Sciences 3
MAT 190 - Calculus I 4
MAT 195 - Calculus II 4
DSC 205 - Introduction to Predictive Analysis 3
MAT 212 - Applied Discrete Math 3
MAT 220 - Applied Linear Algebra 3
MAT 225 - Programing with MATLAB 3
MAT 301 - Database Design and SQL 3
MAT 315 - Applied Math 3
MAT 321 - Applied Statistics I 3
MAT 323 - Applied Statistics II 3
MAT 3XX - Data Structures 3
DSC 2XX - Data Visualization 3
DSC 3XX - Programming II 3
DSC 4XX - Data Mining 3
DSC 4XX - Practicum 3
DSC 4XX - Topics in Data Science 3
DSC 4XX - Predicitive Analytics 3
Program Minimum Required Total Credits 56
Open Elective Courses (Needed to reach 120) 27
Minimum Required Total Credits 122-125

Learning Outcomes

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

  1. Combine mathematical and statistical models with computational techniques and technologies for prediction and decision making.
  2. Demonstrate an understanding of algorithmic complexity, scalability, and the limitations of techniques and technologies, and assess validity of results.
  3. Use current field specific technology tools for data management, manipulation, organization, analysis, and visualization.
  4. Effectively communicate quantitative information to technical and non-technical audiences orally, in writing, and through visual formats.

Honors Program

We offer qualified students the option of graduating with Honors. This includes significant research, scholarship or creative activity under the direction of a faculty member. Interested students should consult with their major advisor. 

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 91Ö±²¥ÊÓƵin 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 years. See Undergraduate Admissions also.

Admissions

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 documents the academic programs, policies, and activities of the 91Ö±²¥ÊÓƵ for the 2018-2019 academic year. The information contained herein is accurate as of date of publication April 27, 2018.

The 91Ö±²¥ÊÓƵ reserves the right in its sole judgment to make changes of any nature in its programs, calendar, or academic schedule whenever it is deemed necessary or desirable, including changes in course content, the rescheduling of classes with or without extending the academic term, canceling of scheduled classes or other academic activities, in any such case giving such notice thereof as is reasonably practicable under the circumstances.

While each student may work closely with an academic advisor, he or she must retain individual responsibility for meeting requirements in this catalog and for being aware of any changes in provisions or requirements.