Curriculum & Requirements
Data Analytics Major, Bachelor of Science (BS)
The development of large-scale data collection in recent years has resulted in a growing gap in the work force as employers struggle to find those with the broad skillset needed to navigate in this environment while developing the narrative of meaning that underlies the data. The Bachelor of Science in Data Analytics concentrates at the undergraduate level on equipping graduates with the hybridization of programming, information systems, applied statistics, management science, data analysis and decision support skills needed by employers.
Majoring or minoring in an additional discipline is suggested as data science and analytics is used in many fields, such as science, education, medicine, government and business.
| COLLEGE COMPOSITION: ANALYSIS, RESEARCH AND DOCUMENTATION | 5 |
| CALCULUS I (recommended) | 5 |
or | PRECALCULUS MATH II |
| INFORMATION TECHNOLOGY IN BUSINESS | 4-5 |
or | PROGRAMMING PRINCIPLES I |
or | PROGRAMMING PRINCIPLES II |
| BUSINESS STATISTICS 1 | 4 |
| BUSINESS STATISTICS 2 | 4 |
| MIXED RESEARCH METHODS, SECURITY AND ETHICS FOR ANALYTICS | 4 |
| DATA MANAGEMENT, CLEANING AND IMPUTATION | 4 |
| OPTIMIZATION VIA MANAGEMENT SCIENCE | 4 |
| BUSINESS FORECASTING | 4 |
| MULTIVARIATE DATA ANALYSIS | 4 |
| DATA VISUALIZATION | 4 |
| BUSINESS APPLICATIONS PROGRAM DESIGN | 4 |
| BUSINESS DATABASE APPLICATIONS | 4 |
| SPREADSHEET MODELING FOR BUSINESS APPLICATIONS | 4 |
| ADVANCED DATABASE APPLICATIONS DEVELOPMENT | 4 |
| DESIGN OF EXPERIMENTS | |
| BUSINESS SIMULATION | |
| PROFESSIONAL INTERNSHIP | |
or | INTERNSHIP |
| DIGITAL ENTREPRENEURSHIP | |
| SEMINAR | |
or | SEMINAR |
| |
| ML-DATA SCIENCE FUNDAMENTALS | 4 |
| ML-APPLIED DATA SCIENCE | 4 |
| ANALYTICS SENIOR CAPSTONE | 4 |
Total Credits | 78-79 |
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