View Business Analytics Concentration, Data Science B.S. Details
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Data science is one of the fastest growing industries in Connecticut and the United States, far outpacing the overall job market. This interdisciplinary field uses computer science and statistics to process, analyze, visualize, and extract meaningful insights from data to inform decisions. Students learn Python, R, SQL, Tableau and other software languages.
Data science can be applied to fields as diverse as business, finance, healthcare, sports, environmental science, climate science, health science and medicine, political science, defense, social science, human culture, education, and more.
Students in Eastern’s interdisciplinary Data Science program receive training in statistics, computer science, business analytics, and geospatial information systems. They learn Python, R, SQL, Tableau and other software languages. Data-driven team projects provide opportunities for students to apply data science tools and techniques as well as develop collaboration and communication skills. Students also build a portfolio of their work by graduation. Students may choose between a B.A. and a B.S.; Bachelor of Science students must declare one of four concentrations in Mathematics, Business Analytics, Geographic Information Systems, or Computer Science, while the Bachelor of Arts degree is designed for students who wish to combine Data Science with an additional major. In addition to this interdisciplinary major, there is a Data Science concentration in the Mathematics major.
View Business Analytics Concentration, Data Science B.S. Details
The Computer Science concentration emphasizes the computational and coding aspects of Data Science. This concentration prepares students for careers and graduate programs that involve both writing code to analyze data and developing tools for data management, analysis, and visualization.
View Computer Science Concentration, Data Science B.S. Details
In the Geographic Information Systems (GIS) concentration, students explore and become operational in the emerging and unique discipline based on spatial analysis honing skills based mastery of problem solving and presentation mediums using industry standard platforms. Students apply knowledge of statistics and programming in one of the fastest growing areas of employment in a range of areas including business, public health, environmental, insurance, government, and many more.
View Geographic Information Systems Concentration, Data Science B.S. Details
Students in the Mathematics concentration deepen their knowledge of the mathematical underpinnings of data science through courses that include linear algebra, network science, discrete math and probability. The skills learned in this concentration will prepare students for a wide range of employment in data science or for graduate work in data science or statistics.
$112.5K
median salary, data scientists
$63.6K-194.4K
Salary Range
34%
Job Growth 2024-34
Students in the Data Science program work in state-of-the-art computer labs with access to the latest software, including Tableau, GIS software, Python, R, SQL, Java, Gephi and other major programming languages and platforms.
An on-campus, paid internship program operated by Cigna’s Technology Early Career Development Program provides valuable applied experience in preparation for careers in the field.
Several student clubs and organizations support the Data Science program, including the Association of Information Technology Professionals (AITP) and the Computer Science, Math Club, and Programming Club.
Eastern Connecticut State University launched a new cybersecurity minor in the fall 2025 semester. Spurred by broad interest and increasing workforce demands, the 18-credit minor is available to students of all majors.
Eastern featured special guest Michelle Riordan-Nold, executive director of the Connecticut Data Collaborative (CTData), for University Hour on Feb. 12 in the Student Center Theatre. The event was organized with the help of Garrett Dancik, computer science professor and coordinator of the data science program.
