Use data for all its worth
Who makes sense of all this data? 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 University of New Haven’s B.S. in Business Analytics will provide you with the training to be this indispensable individual. Through the program, you will gain organizational and technical competencies in data science, learning to interpret data-asset data asset analysis for business applications and acquiring the skills to guide organizational decision-making. 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 strategy.
Our business analytics major is STEM-certified (science, technology, engineering, and math) by the federal government and includes concentrations in:
- Marketing Analytics
- Operations 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.
Think of it: This degree opens up opportunities for you in just about any organization, since most make use of data to further their business objectives. That’s one piece of information that’s pretty easy to analyze.
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.
This course focuses on the art of communicating ideas imbedded 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.
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.
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:
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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
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.