Business Administration and Marketing Analytics (BAMA)
University of Maryland, College Park · MD · BUSINESS-ADMINISTRATION-MARKETI-4l2sue
Business Administration and Marketing Analytics (BAMA) is a degree at University of Maryland, College Park, MD. It covers areas like business analytics, data analytics, predictive analytics, marketing communications, business intelligence, management accounting. The summary below is compiled from public course information — approximate, not official.
University of Maryland, College Park
US$11,809
What you'll study in Business Administration and Marketing Analytics (BAMA)
Example subjects: Essential Data and AI Skills for Business Analytics (3 Credits), Data Analytics and AI for Business (3 Credits), Analytics Consulting: Cases and Projects (3 Credits), Marketing Management (2 Credits), Decision Analytics (3 Credits), Auditing Automation and Analytics (2 Credits), Accounting Analytics (2 Credits), Capstone Project in Business Analytics (3 Credits), Marketing Analysis (2 Credits), Business-to-Business Marketing (2 Credits), Marketing Analytics for Consulting (3 Credits), Marketing Research and Analytics (3 Credits).
Frequently asked questions
What will I study in Business Administration and Marketing Analytics (BAMA)?
Business Administration and Marketing Analytics (BAMA) covers areas like business-analytics, data-analytics, predictive-analytics, marketing-communications, marketing-research, data-analysis, data-science, international-management.
How much does Business Administration and Marketing Analytics (BAMA) cost?
Indicative domestic fees for Business Administration and Marketing Analytics (BAMA) are around US$11,809 (approximate, usually per year). International fees differ — confirm with the university.
Who offers Business Administration and Marketing Analytics (BAMA)?
Business Administration and Marketing Analytics (BAMA) is offered by University of Maryland, College Park, MD.
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Sources: University of Maryland, College Park official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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