Data Science

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 UNE 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

Nor’easter Core Requirements	Credits
Total Credits	40

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	3 – Fulfills Quantitative Reasoning Core
MAT 190 – Calculus I	4
MAT 220 – Linear Algebra	3
One (1) 400-level elective with DSC prefix	3
Total Credits	32

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
DSC 360 – Deep Learning	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 needed to reach 120 credits)	Variable

Minimum Total Required Credits	120

Please note: While some courses can fulfill both core and program requirements, the credits earned do not count twice towards the minimum total required credits for the degree.

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

Transfer Credit

Transferred mathematics courses must be reasonably close in scope and content to the mathematics courses offered at UNE 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.