Master's in Data Analytics
Admission Requirements
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
Data Analytics Master's Courses
Learn how to make data-driven business decisions
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.
Preparatory Courses (up to 6 Credits)
Students with undergraduate preparation in a non-business field may be required to complete up to 6 credits of preparatory coursework. Students with a strong academic record (B or better in each case) from an accredited university may be able to waive preparatory foundation courses. Accounting & Business Law (ACCT500) requires financial accounting, as well as any course labelled business law that included contracts and tort law Management & Marketing (MGMT500) requires organizational behavior, operations management, and marketing or any similarly named course that includes consumer behavior.
This coursework provides the basic fundamentals across the business disciplines that serve as a necessary foundation for a degree through our School of Business.
ACCT 500 | Accounting & Business Law |
MGMT 500 | Management & Marketing |
If you have not completed all of these courses as part of your undergraduate studies, they are available through our program. For more information on prerequisites, please contact admissions.
Program Core Courses (with concentrations)
ITKM 505 | Information Systems and Knowledge Management |
MGMT 555 | Global Program and Project Management |
Analytics Intelligence Courses
ITKM 548 | Enterprise Intelligence and Decision Support Systems |
ITKM 549 | Technical Concepts for Analytics Professionals |
ITKM 560 | Foundations in Advanced Enterprise Analytics |
Analytics Applications Courses
MKTG 525 | Data-Driven Marketing |
FIN 534 | Behavioral Economics and Algorithmic Finance |
MGMT 534 | Strategic Sourcing and Outsourcing |
Capstone
The capstone in the MS in Analytics consists of a research methods course and either a thesis or internship.
BUCP 588 | Research Methods |
BUCP 598 | Thesis OR |
BUCP 599 | Internship |