BACHELOR OF SCIENCE IN AI IN BUSINESS AND ANALYTICS

“The University of New Haven allowed me to learn valuable skills that have continued in my career," said Francesca Micallef '22, Data Analyst at 433 in Amsterdam, Netherlands. “The program is not only about the business intelligence you gain, but also about the connections you make along the way with professors that build your network immensely.”

Student using computer

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 AI in Business and 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 AI in Business and 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 AI in Business and 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.

Career Opportunities with a Bachelor's Degree in AI in Business and Analytics

$101K

Business Analyst

8.8% Growth 2024-2034

$77K

Marketing Analyst

6.7% Growth 2024-2034

$91K

Operations Analyst

21.5% Growth 2024-2034

The info provided is designed to show just a few of the many possible careers you could pursue with a bachelor's degree in AI in Business and Analytics. The data includes median national salaries and industry growth projections*. *U.S. Bureau of Labor Statistics, National Occupational Employment and Wage Estimates (September, 2025). Salary data fluctuates frequently.

 

Selected Courses and Programs

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.
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.

Learn from professors who are dedicated to your success.

Our faculty are leaders and innovators in their fields, bringing both deep professional experience and academic rigor to the classroom.

 

 

 

Accreditation


AACSB logo

Our Pompea College of Business is Among the Top 6% Worldwide

AACSB accreditation means that our Pompea College of Business has passed a rigorous set of standards. The faculty, students, programs and research have been closely examined and judged to be of exceptionally high standards.

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Next Steps

Whether you're still in high school or are transferring from another college, we offer full- and part-time opportunities for undergraduates from inside the U.S. and abroad. The admission process can begin as early as the end of your high school junior year.

The Application Process Website

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 95 percent of the University's full-time undergraduate students receive some form of financial assistance.

Financial Aid Website

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