Data Analytics Requirements (MS)

Degree Requirements

  1. Complete all M.S. Data Analytics Core Courses and 9 credits from the Elective Courses.
  2. Complete a Capstone Project in ITSCM 778 (note: this course must be taken after completing 18 program credits).
  3. Have a graduate grade point average (GPA) of at least 3.0.
Core Courses:
MARKETNG 731QUANTITATIVE ANALYSIS FOR BUSINESS3
ITSCM 773DATA FOUNDATIONS FOR BUSINESS ANALYTICS3
ITSCM 774DATA ANALYTICS AND BUSINESS INTELLIGENCE3
ITSCM 777DATA MINING FOR BUSINESS 3
ITSCM 778PROGRAMMING FOR ANALYTICS 3
ITSCM 779VISUAL ANALYTICS FOR BUSINESS3
MARKETNG 777ARTIFICIAL INTELLIGENCE IN MARKETING3
or ITSCM 787 TEXT MINING, ARTIFICIAL INTELLIGENCE, AND ETHICS
Elective Courses: 19
ACCOUNT 745
AI IN ACCOUNTING & FINANCE 2
ACCOUNT 770
ANALYTICS IN ACCOUNTING 2
CYBER 732
DATA DRIVEN SECURITY
ECON 761
FUNDAMENTALS OF BUSINESS FORECASTING
ECON 777
MACHINE LEARNING FOR BUSINESS APPLICATIONS
FNBSLW 732
QUANTITATIVE FINANCIAL ANALYSIS
ITSCM 776
BUSINESS PROCESS INNOVATION AND MANAGEMENT
ITSCM 781
SUPPLY CHAIN ANALYTICS
ITSCM 787
TEXT MINING, ARTIFICIAL INTELLIGENCE, AND ETHICS
MANGEMNT 781
ANALYTICS FOR STRATEGIC DECISIONS
MARKETNG 768
STRATEGIC SALES MANAGEMENT AND SALESFORCE ANALYTICS
MARKETNG 772
DIGITAL MARKETING
MARKETNG 777
ARTIFICIAL INTELLIGENCE IN MARKETING
Total Units30
1

A single course may not be used to satisfy both the Core Course and the Elective Course categories.

2

ACCOUNT 745 and ACCOUNT 770 require additional prerequisites. Please consult with your graduate advisor for further information.