B.S. in Business Administration, Data Analytics Specialization
People who pursue careers in data analytics have a keen acumen for business and the technical skills to produce actionable insights and recommendations for their organizations. The future of this field continues to have an innovative outlook in both the science and technology side of things.
Data Analytics AT UBalt
The field of data analytics has evolved over time—whether it goes by "big data," "data science," "predictive modeling," "business intelligence"—the desired outcomes remain the same: identify and solve problems in an organization. The practical application of data is the cornerstone of this specialization.
What Our Faculty Say
Did you know that data analytics continues to be in high demand. According to a survey of the Graduate Management Admission Council, 71 percent of employers planned to place recent business school graduates into data analytics roles in 2018.
In this video, hear from University of Baltimore Professor of Decision Science, Roberto Cavazos and learn more about data analytics at UBalt.
Careers in Data Analytics
When you choose to specialize in data analytics, your career path is wide open. Check out some careers in data analytics.
Honors Program
Many business students benefit from the Helen P. Denit Business Honors Program's enriched curriculum, enhanced interactions with faculty and alumni, employer site visits and exceptional internships.
Accelerated Bachelor's to Master's
UBalt offers accelerated bachelor's to master's options that let you take up to 9 graduate credits that "double count" toward both degrees—saving you time and money! Get a head start on your degree while saving up to $9,000.
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Did You Know?
In an article posted on Forbes.com, Dan Adams, Vice President of Data Product Management at Pitney Bowes, was quoted as saying, “In its raw form, data can often be imperfect and incomplete, but with the right tools and processes, data can deliver true, rich insights to a business. The good news is that more organizations are investing in data and technologies to improve and enrich data quality to improve outcomes, save money and make better business decisions.”