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Gannon MBA in Business Analytics Core Courses (30 credits total, semester courses are traditionally offered are indicated) GMBA 615: Technological Environment of Business – Fall and Spring GMBA 625: D ata Driven Strategic Planning and Decision-Making – Fall and Spring GMBA 635: Financial Management and Modeling – Fall and Spring GMBA 645: S trategic Global Marketing and Analytics – Spring GMBA 655: S ocially Responsible Leadership – Fall and Summer GMBA 665: O perations and Supply Chain Analytics – Spring GMBA 675: M anaging Organizational Behavior and Dynamics – Spring and Summer GMBA 685: Organizational Communication and Data Visualization Fall GMBA 695: Entrepreneurship in a Technological Environment – Fall GMBA 725: I ntegrated Business Strategy and Analytics – Fall and Spring (Course must be taken during the student’s last semester in the MBA in Business Analytics Program)
STANDARD MBA GRADING SCALE Numerical Grade 97+ 93-96.99
Letter Grade A+ A
Grade Points (per credit hour) 4.0 4.0
90-92.99 87-89.99 83-86.99 80-82.99 77-79.99 70-76.99 Below 70
AB+ B BC+ C F
3.7 3.3 3.0 2.7 2.3 2.0 0
4+1 MBA IN BUSINESS ANALYTICS DEGREE PROGRAM The 4+1 MBA in Business Analytics Degree Program is designed to allow outstanding undergraduate students the opportunity to earn both an undergraduate degree and an MBA within a five year period. Students from any major may apply and should do so before they begin their junior year. Working with both the undergraduate advisor and the MBA Business Analytics Program Director, the student will customize a schedule in which they will take graduate courses during their junior or senior year. Students who successfully complete these courses may apply to continue into the MBA-Business Analytics program to complete the remaining credits. Applicants to the program must have a 3.0 undergraduate GPA. Retention in the program requires that the student maintain a minimum of a 3.0 GPA for their undergraduate studies.
INTERNATIONAL STUDENTS International students who do not wish to take Peregrine ALCs but need foundational knowledge before starting the core curriculum for the MBA in Business Analytics can obtain the requisite competencies by enrolling in undergraduate coursework. See section above “Curriculum” for the undergraduate course equivalents for the ALC’s required in the program. As noted, students must pass each requirement with a grade of B or better and credits earned via these undergraduate courses do NOT count towards the 30 total credit hours required to earn the MBA in Business Analytics degree.
INTERNSHIPS Gannon MBA students may, with permission of the MBA Program Director, accept placements in fields that are related to their academic studies. Students may take a 1 or 3 credit internship with the permission of the MBA Program Director, provided the experience adds to the student’s knowledge and ability in their chosen field of study.
COURSE DESCRIPTIONS FOUNDATIONAL COURSES ACADEMIC LEVELING COURSES Below competencies, met through the Peregrine Academic Level Courses or through undergraduate coursework, are prerequisites for all GMBA courses in the MBA in Business Analytics. All competencies must be met before students can begin coursework. See Peregrine Academic Services Website for Descriptions of the Academic Leveling Course Modules (non-credit bearing) below: Foundations of Accounting Foundations of Quantitative Research Techniques and Statistics Foundations of Marketing Foundations of Business Integration and Strategic Management Foundations of Business Finance Foundations of Microeconomics
CORE COURSES
GMBA 615 Technological Environment of Business 3 credits; Prerequisite: None In this course, students will learn how to identify external variables and technological factors that influence business performance and operations. Students will explore the transformational needs of the business’s operating strategy in response to technological changes, with the intent of harnessing change for the firm’s growth. The course will also involve the analysis and development of robust business models sensitive to fluctuations in the environment. Case studies relating to successful and bankrupt companies, whose status was directly influenced by changes in the technological environment will be analyzed.
