Modern technology now provides industries of all kinds with the ability to gather vast amounts of data. But data requires more than just flashy dashboards and reports. In order to make better data-driven business decisions, employers require hybrid IT/business professionals to make data meaningful. Our STEM designated Master's in analytics program was built with this need in mind.

In the Master of Science in Analytics degree program, we will help you:

• develop the critical thinking skills necessary to combine complex data and business value and turn it into actionable insight
• cultivate expertise in analysis, management, solution architecture and delivery, and hands-on technical skill
• grow your skills through our comprehensive curriculum, which offers opportunities for inquiry and professional development to round out your experience

You will gain in-depth knowledge of information systems, as well as modern analytical skills, while fulfilling the 30-credit course requirement for the Analytics MS degree program.

Rigorous classroom instruction and required projects are structured to prepare you for the unique demands of this fast-paced sector. Courses are specifically broken out into the following segments, allowing you to build a foundation of knowledge as you go: Program Core, Analytics Intelligence, and Analytics Applications.

You will conclude the program with a required thesis or internship to demonstrate competency in research, analysis, and project work. You may elect to include research, project work, or both. An effective thesis will help you solidify your grasp of the program content and serve as an impressive addition to your career portfolio.

Program Prerequisites

• Bachelor’s degree from an accredited university or recognized international institution
• It is recommended to have an undergraduate degree in Economics, Information Systems, Management, Mathematics, or, Statistics
• Cumulative undergraduate GPA of 3.0 or higher, or below 3.0 - at least five years of relevant work experience

Required Materials

• Application
• Official transcript for the last degree earned. To be considered for a scholarship and prerequisite waivers, you must submit transcripts from each institution attended.
• Two letters of recommendation
  • Letters may come from employers, professors or professional associates and should describe your work ethic, academic or work experience, and why you would be a good fit for the program
• Personal statement
  • In 250 – 500 words, detail why you are seeking an MS in Analytics, how you expect to apply your degree to your professional career after graduation, and why you seek to pursue your degree through University of Bridgeport
• Résumé

International Applicants

Please consult the International Admissions requirements page, or for specific queries, contact your admissions counselor.

Deadlines

A completed application and all supporting documents must be received on or before:

• July 15 for the Fall semester
• December 1 for the Spring semester

Tuition fee-2 years$56,000

Total fee-2 years$82,000