Business Analytics (B.S.)

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Student Learning Outcomes for Business Analytics

Students will be able to:

Apply a strong knowledge related to computing, business, and mathematics in managerial decision-making.
Define and quantify business problems for the purposes of analytical investigation and decision-making.
Analyze the interpretation of results and outputs from statistical analysis operations.
Communicate statistical and analytical results and reports for the purpose of decision-making

The Business Analytics major requires:

A non-credit program, Backpack-to-Briefcase (completion is managed via JayWeb)
AC 101 - Introduction to Accounting
BA 101 - Business and Society
BA 105 - Managerial Communication and Student Career Preparedness
MKT 215 - Principles of Marketing or
BA 265 - Management and Organizational Behavior
BA 495 - Business Policy and Corporate Strategy or
DS 400 - Data Science Capstone
DS 200 - Introduction to Data Science
DS 300 - Data Mining
DS 420 - Big Data
EC 101 - SSC Principles of Macroeconomics or
EC 102 - SSC Principles of Microeconomics
EC 410 - Econometrics or
MA 252 - Statistical Methods in Research
BA 330 - Legal Environment of Business
FIN 325 - Corporate Finance
MA 121 - MA Calculus I
MA 200 - Applied Matrix Algebra
MA 250 - MA Sports Analytics or
MA 251 - MA Probability and Statistics
CS 121 - Computer Science I
CS 221 - Data Structures
CS 209 - Database Systems
DAT 315 - Machine Learning
BA 470-474 - Internship in Business
Two additional Business Administration, Computer Science, or Mathematics courses
One MOOC

First Year Suggested Courses:

Notes:

Internships are registered in the semester in which they end, therefore cumulative internship experiences (micro, virtual) will be registered when the student achieves the desired 120 hours tracked by the department/program governing the internship discipline.