Master of Science in Business Analytics

Interim Program Director: Ahmed Hamed

The Master of Science in Business Analytics provides students with strong quantitative and data analysis training. Private business, non-profit entities, and government agencies are in increasing need of professionals with advanced mathematical, statistical, and computational skills that can process, understand, and analyze vast amounts of data. Coursework in the M.S. in Business Analytics program will include quantitative modeling, operations management, data mining, big data, and network and infrastructure management.

Mission:

The Master of Science in Business Analytics (MSBA), seeks to provide successful graduates with the following skills and competencies:

  • skills in research methodology, specifically quantitative analysis.
  • the ability to identify and apply the fundamental concepts of statistics, data analysis, quantitative modeling, simulation and optimization to solve unique problems,
  • the ability to analyze data comprehensively and apply it to managerial decision making,
  • data handling and database management in practical applications,
  • the application of big data modeling using current business software, tools and techniques,
  • competence in with modern data mining using simulations and reporting,
  • understanding of  the need for legal governance and ethics as it applies to business decision making
  • the ability to produce quality products to influence and inform business practices, including reports, demonstrations and presentations.

One-Week Residency

All degree candidates of the Master of Science in Business Analytics are required to attend a one-week Residency Conference on the Norwich University campus, during which they may attend professional presentations, participate in roundtable discussions with faculty, and present papers. The one-week residency is a degree requirement.

Curriculum:

BUAN 500Applied Regression with Research Methods3
BUAN 501Problem Solving in Applied Data Science3
BUAN 514Information Visualization and Communication3
BUAN 515Data Governance in Business Analytics3
BUAN 570Data, Models and Effective Organizational Decisions3
BUAN 510Predictive Analytics, Relational Database, & Data Transformation3
BUAN 512Data Mining for Predictive Decision Making3
BUAN 513Prescriptive Analytics, Business Process and Enterprise Analytics3
BUAN 511Prescriptive Analytics, Non-Relational Database, & Location Based Data3
BUAN 571Practicum in Business Analytics3
Culminating Academic Requirement
BUAN 595Residency0
Total Cr.30
Faculty Member Institution at which highest degree was earned
Ahmed Hamed, PhD, Interim Program Director