MBA in Business Analytics

The Master of Business Administration in Business Analytics (STEM) is designed to equip students with skills in the growing field of business analytics in every major industry in the Commonwealth of Pennsylvania and around the world. This MBA provides the broad business functional background as well as in-depth foundation needed to apply data analytics to real-world challenges that business professionals encounter throughout their careers. The program provides practical knowledge of data analytics and an understanding of the application of analytics tools/techniques in the business field that can be leveraged toward career advancement.

Required Courses 27

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MGMT 613 - Advances in Organizational Behavior and Human Resource Management Credits: 3
MGMT 637 - Operations and Supply Chain Management Credits: 3
MGMT 695 - Strategic Management Credits: 3
ACCT 607 - Accounting for Decision Making Credits: 3
ECON 634 - Economics for Managers and Engineers Credits: 3
FIN 630 - Corporate Finance and Valuation Credits: 3
IFMG 640 - Information Systems Management Credits: 3
MKTG 603 - Marketing Analysis and Decision Making Credits: 3
QBUS 601 - Mathematical Modeling and Decision Making Credits: 3

Controlled Electives 12

Students need to work with their advisor to learn when the elective courses are offered and to seek advise on the ideal pairings of electives.

ACCT 521 - Federal Tax I Credits: 3
ACCT 531 - Auditing Credits: 3
ECON 556 - Advanced Econometrics Credits: 3
FIN 515 - Financial Analysis using Electronic Spreadsheets Credits: 3
IFMG 556 - Business, Intelligence, Informatics, and Big Data Analysis Credits: 3
MGMT 537 - Supply Chain Modeling and Analysis Credits: 3
MGMT 698 - MBA Internship Credits: 1.5 or 3
MKTG 521 - Marketing Research and Analytics Credits: 3
MKTG 534 - Business Logistics: Technical Analyses and Applications Credits: 3
MKTG 549 - Digital Marketing Analytics Credits: 3
MATH 512 - Multivariate Statistics Credits: 3
MATH 516 - Data Science Fundamentals Credits: 3

Total Requirements 39

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Student Learning Outcomes

Outcome	Assessment	IMPROVE
Demonstrate an understanding of data mining principles, including text mining and statistical modeling with a business mindset.	Cases and projects with data (IFMG 640, QBUS 601)	Knowledge
Develop hands-on experience working with “big data” and communicate effectively with data.	Cases and projects with data (IFMG 640, QBUS 601, MGMT 637, MKTG 603, FIN 630, IFMG 556)	Skills
Apply data analytics to data sets across multiple business disciplines.	Cases and projects with data (ACCT 521, FIN 515, MKTG 521, MGMT 537, MKTG 534)	Capabilities
Apply essential analytics tools to collect, visualize, and analyze data to support business decision-making and evaluating results.	Cases and projects with data (MATH 512, MATH 516, ECON 556)	Skills
Apply business foundations and critical thinking to problems and questions facing an organization, using data analytics.	Cases and projects with data (MKTG 549, ACCT 531, MGMT 698)	Capabilities