Business Analytics Minor
Business Analytics is a high-demand field composed of a hybrid of information systems, applied statistics, management science, data analysis, operations research, consumer behavior, risk management, and decision support. The focus is on the analysis of data to develop decision models in a business environment.
due to the cross disciplinary nature of Business Analytics, the following business core courses should be completed before starting this minor:
ACCT 251, ACCT 252, DSCI 245, DSCI 346, ECON 200, ECON 201,
FINC 335, MISC 211, MKTG 310, and OPSM 330;
this minor is offered only to Bachelors of Arts in Business Administration (BAB) students due to the prerequisite requirements;
- given the level of quantitative, critical thinking, and problem-solving skills necessary to complete this minor, students should have a GPA ≥3.0 before starting this minor;
- enrollment is restricted to those who have been formally accepted into the BAB program;
- non-BAB students should take the Data Analytics minor.
Grade Requirement: must achieve a minimum grade ≥C in each course that fulfills a requirement for the minor.
|DSCI 445||OPTIMIZATION VIA MANAGEMENT SCIENCE||4|
|MISC 373||BUSINESS DATABASE APPLICATIONS||4|
|MISC 374||SPREADSHEET MODELING FOR BUSINESS APPLICATIONS||4|
|Electives–choose two from the following||8|
|MIXED RESEARCH METHODS, SECURITY AND ETHICS FOR ANALYTICS|
|DATA MANAGEMENT, CLEANING AND IMPUTATION|
|DESIGN OF EXPERIMENTS|
|MULTIVARIATE DATA ANALYSIS|
|Note: A maximum of 8 credits may be double counted in this minor. If necessary, alternates may be chosen from the following|
|CAPITAL BUDGETING AND LONG-TERM FINANCING|
|SHORT-TERM FINANCIAL MANAGEMENT|
|BUSINESS APPLICATIONS PROGRAM DESIGN|
|SYSTEMS ANALYSIS AND DESIGN|
|ADVANCED DATABASE APPLICATIONS DEVELOPMENT|
|E-COMMERCE AND E-COMMERCE SYSTEM DESIGN|
|SERVICE AND OPERATION ANALYSIS|
- Analysis–identify proper business analytics methods to use for particular advanced data problems;
- Application–perform these methods, using software when appropriate;
- Communication–communicate these results effectively to a non-technical audience;
- Evaluation–draw conclusions and make recommendations and decisions based on these methods.