Use data for all its worth
We are surrounded by data. Who makes sense of all this data and extract valuable insights from it? More to the point, who knows how to decipher it for greater business success? The person with a degree in business analytics, a highly in-demand professional who can help organizations understand and manage the profit-making potential of this gold mine of information.
The B.S. in Business Analytics at the University of New Haven will provide you with the analytics skills to be this indispensable individual. Through the program, you will gain organizational and technical competencies in business intelligence & analytics, learn how to interpret data for business applications and acquire the proper skills to make data-driven business decisions. We will train you in a wide range of data analytics methods, while also giving you specialization opportunities in sport management, marketing analytics, or operations & supply chain management.
Our business analytics major is STEM-certified (science, technology, engineering, and math) by the federal government and includes concentrations in:
- Global Supply Chain Analytics
- Managerial Economics
- Marketing Analytics
- Sport Management
Turn information overload to gold
Today’s business analytics professional must have a thorough understanding of how business works, which is why the program includes courses in finance, accounting, economics, marketing, and management as well.
This degree opens up various opportunities for you in any organization, since data analytics professionals are needed in any business segment. Our curriculum offers hands-on learning experience using real-world business data and the state-of the-art analytics tools.
Envision Your Future
The information below is designed to show the many possible careers you could pursue with your major. The research is provided by Encoura, the leading research and advisory firm focused exclusively on higher education. It includes median national salaries and industry growth projections over the next decade. Click here to view the full report.
9% Growth 2021-2030
Data Analytics Specialists
25% Growth 2021-2030
7% Growth 2021-2030
Data Visualization & Communication
This course focuses on the art of communicating ideas embedded in data through visual means. Students are introduced to industry-standard graphic and data design techniques used to create understandable visualizations in order to communicate effectively with a particular audience. Techniques in organizing and articulating data are developed using real world examples. The course materials, assignments and project will all be prepared using the R programming language and Tableau software.
This course will introduce students to foundations of relational database design and management with a focus on business domains and business analytics applications. Topics include database design principles, entity-relationship diagrams, constructing queries in SQL, connecting, updating, and analyzing databases -- critical skills for data analysts. The course materials, assignments and project will all be prepared using the R and SQL programming language.
Machine Learning: Supervised Learning
The course consists of applied training in foundational topics for supervised learning such as Linear Regression, Nearest Neighbors and Neural Networks. It first builds a sound understanding of data preparation, exploration and reduction methods. It covers both prediction as well as classification processes. The emphasis is on understanding the application of a wide range of modern machine learning techniques to specific decision-making situations across business domains, rather than on mastering the mathematical and computational foundations of the techniques.
The focus of this course is on statistical and data analytical methods for the preparation of business forecasts. A variety of empirical techniques are covered: smoothing methods, moving averages, regression analysis, classical time-series decomposition methods, and ARIMA (Box-Jenkins) models. Emphasis is placed upon building forecasting models and evaluating their reliability. The focus is on time-series data. R is the preferred statistical package; Tableau and other packages will be introduced as time permits.
Full List of Courses and Learning Outcomes for Business Analytics
The University of New Haven offers a wide variety of in-depth courses that create a transformational educational experience for our students. To view the complete list of courses you'll take while pursuing a M.S. in Business Analytics, check out the Academic Catalog:
Business Analytics, B.S. - General Concentration
Business Analytics, B.S. - Global Supply Chain Analytics Concentration
Business Analytics, B.S. - Managerial Economics Concentration
Business Analytics, B.S. - Marketing Analytics Concentration
Business Analytics, B.S. - Sport Management Concentration
International Business Communication Minor (Business program majors only)
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Our faculty are leaders and innovators in their fields, bringing both deep professional experience and academic rigor to the classroom.
Get an inside look at what differentiates the University of New Haven and how your experiences as a student will prepare you for success.
Nationally Recognized Center for Career Development
All University of New Haven students have access to the many resources available through the University’s Career Development Center, which has been named one of the best in the nation by The Princeton Review.
From career assessments, networking, and job shadowing to on-campus interviews and salary negotiation, the Career Development Center provides the skills and connections to identify a meaningful career and an opportunity to pursue your passion.Learn More
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We offer a comprehensive financial aid program, with students receiving assistance in the form of grants, scholarships, student loans, and part-time employment. Funds are available from federal and state governments, private sponsors, and from university resources. More than 85 percent of the University's full-time undergraduate students receive some form of financial assistance.