{"id":938,"date":"2020-09-29T14:32:35","date_gmt":"2020-09-29T14:32:35","guid":{"rendered":"http:\/\/developmenttwo.marymount.edu\/academics\/?page_id=938"},"modified":"2026-04-15T10:24:14","modified_gmt":"2026-04-15T14:24:14","slug":"program-requirements","status":"publish","type":"page","link":"https:\/\/marymount.edu\/academics\/college-of-business-innovation-leadership-and-technology\/school-of-business\/graduate-programs\/management-master-s-programs\/program-requirements\/","title":{"rendered":"Business Administration M.B.A. Program Requirements"},"content":{"rendered":"
36 credits<\/em><\/p>\n Students may also choose to add one of the following specializations to their M.B.A. program. Adding a specialization will result in a sixteen (16) course (48 credit) program. <\/p>\n 12 Credits<\/em><\/p>\n 3<\/p>\n<\/td>\n<\/tr>\n 3<\/p>\n<\/td>\n<\/tr>\n 3<\/p>\n<\/td>\n<\/tr>\n 3<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 12 Credits<\/em><\/p>\n 3<\/p>\n<\/td>\n<\/tr>\n 3<\/p>\n<\/td>\n<\/tr>\n 3<\/p>\n<\/td>\n<\/tr>\n <\/p>\n<\/td>\n<\/tr>\n 3<\/p>\n<\/td>\n<\/tr>\n <\/p>\n<\/td>\n<\/tr>\n 3<\/p>\n<\/td>\n<\/tr>\n <\/p>\n<\/td>\n<\/tr>\n 3<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Degree Requirements 36 credits Courses are listed in recommended sequence of enrollment. MBA 511 Management Foundations MBA 512 Accounting for Managers MBA 514 Business Analytics MBA 515 Management in Organizations MBA 516 Business Law and Ethics MBA 517 Leading in Business MBA 519 Operations Management MBA 520 Economics for Managers MBA 521 Marketing Concepts and […]<\/p>\nCourses are listed in recommended sequence of enrollment.<\/h3>\n
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Optional Program Specialties<\/h2>\n
Specialization Options<\/h3>\n
Business IT<\/h4>\n
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\n IT 510<\/td>\n Requirements Analysis and Management<\/td>\n \n \n IT 520<\/td>\n Enterprise Infrastructure and Networks<\/td>\n \n \n IT 530<\/td>\n Computer Security<\/td>\n \n \n IT 540<\/td>\n Enterprise Data Management and Analysis<\/td>\n \n Data Science<\/h4>\n
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\n IT 540<\/td>\n Enterprise Data Management and Analysis<\/td>\n \n \n DATA 546<\/td>\n Principles of Data Science<\/td>\n \n \n IT 566<\/td>\n Computer Scripting Techniques<\/td>\n \n \n <\/td>\n <\/td>\n \n \n DATA 556<\/td>\n Data Visualization<\/td>\n \n \n <\/td>\n OR<\/td>\n \n \n DATA 576<\/td>\n Natural Language Processing (NLP) Techniques<\/td>\n \n \n \n OR<\/td>\n \n \n DATA 586<\/td>\n Machine Learning<\/td>\n \n