Program Overview

Business Analytics Program

The Business Analytics program offers a comprehensive curriculum that covers various aspects of business analytics, including data management, predictive modeling, and data visualization.

Courses

• BUAL 2600 BUSINESS ANALYTICS I (3): Introduction to analytics in business, including the use of data to make business decisions, basic predictive business modeling, and communication of analytical results.
• BUAL 2650 BUSINESS ANALYTICS II (3): A second course in quantitative analysis in business, including statistical inference, classification analysis, predictive modeling, forecasting, and introduction to data mining.
• BUAL 3010 PROFESSIONAL DEVELOPMENT IN BUSINESS ANALYTICS (1): Career planning and preparation for employment as an analytics professional.
• BUAL 3100 INTRODUCTION TO ARTIFICIAL INTELLIGENCE (3): Foundational concepts of Artificial Intelligence (AI) and its applications in business environments.
• BUAL 4910 PRACTICUM (1-3): Supervised practical application of business analytics theory and methods.
• BUAL 4920 BUSINESS ANALYTICS INTERNSHIP (1-3): An opportunity for students to be exposed to analytics environments first-hand and to integrate this experience with their formal education.
• BUAL 5500 BUSINESS DATA MANAGEMENT AND ACQUISITION (3): Management and governance of the big data environment necessary to support extracting, merging, and preparing large data sets for analysis.
• BUAL 5600 PRINCIPLES OF PREDICTIVE MODELING (3): Introduction to linear models, including multiple linear regression and model building in business decision making and applications.
• BUAL 5610 PREDICTIVE MODELING FOR BUSINESS DECISIONS (3): Basic data mining techniques, including neural networks, decision trees, clustering algorithms, linear programs, text and web mining in a business setting.
• BUAL 5660 DESCRIPTIVE ANALYTICS FOR BUSINESS DECISIONS (3): Advanced topics in big data management, with emphasis on various technical environments used in the big data environment.
• BUAL 5700 BIG DATA INFRASTRUCTURE AND APPLICATIONS (3): Advanced topics related to big data infrastructure and using these technologies to create data science applications.
• BUAL 5710 ADVANCED DATA AND TEXT ANALYTICS (3): Advanced approaches used for writing crawlers and spiders, text analytics, sentiment analysis, social media analytics, network analytics, and deep learning for solving business and organizational problems.
• BUAL 5800 DATA VISUALIZATION (3): Challenges of big data and how effectively utilizing data visualization techniques can help with decision-making.
• BUAL 5850 FOUNDATIONS OF SPORTS ANALYTICS (3): Introduction to analyzing and representing sports data, developing narratives about team and player performance.
• BUAL 5860 COMMUNICATING QUANTITATIVE RESULTS IN BUSINESS (3): A case-based, project-oriented approach to business decision making based on a company's mission and strategic objectives.
• BUAL 5900 DIRECTED STUDIES (1-3): Faculty-led individualized or group-oriented in-depth study of a topic in business analytics.
• BUAL 5960 SPECIAL PROBLEMS (3): A self-learning course or lecture course designed to enhance the student's knowledge of a selected topic.
• BUAL 6600 PRINCIPLES OF PREDICTIVE MODELING (3): Introduction to linear models, including multiple linear regression and model building in business decision making and applications.
• BUAL 6610 PREDICTIVE MODELING FOR BUSINESS DECISIONS (3): Basic data mining techniques, including neural networks, decision trees, clustering algorithms, linear programs, text and web mining in a business setting.
• BUAL 6650 BUSINESS DATA MANAGEMENT AND ACQUISITION (3): Managing, governing, extracting, merging, and preparing large data sets for analysis.
• BUAL 6660 DESCRIPTIVE ANALYTICS FOR BUSINESS DECISIONS (3): Advanced topics in big data management, with emphasis on loading and cleansing the data for analysis.
• BUAL 6700 BIG DATA INFRASTRUCTURE AND APPLICATIONS (3): Advanced topics related to big data infrastructure and using these technologies to create data science applications.
• BUAL 6710 ADVANCED DATA AND TEXT ANALYTICS (3): Advanced approaches used for writing crawlers and spiders, text analytics, sentiment analysis, social media analytics, network analytics, and deep learning for solving business and organizational problems.
• BUAL 6800 DATA VISUALIZATION (3): Challenges of big data and how effective utilization of data visualization techniques can help with decision-making.
• BUAL 6850 FOUNDATIONS OF SPORTS ANALYTICS (3): Introduction to analyzing and representing sports data, developing narratives about team and player performance.
• BUAL 6860 COMMUNICATING QUANTITATIVE RESULTS IN BUSINESS (3): A case-based, project-oriented approach to business decision making based on a company's mission and strategic objectives.
• BUAL 6900 DIRECTED STUDIES (3): A self-learning course designed to enhance the student's knowledge of a selected topic.
• BUAL 6960 SPECIAL PROBLEMS (3): A self-learning course designed to enhance the student's knowledge of a selected topic.
• BUAL 7000 INTRODUCTION TO ARTIFICIAL INTELLIGENCE (3): Foundational concepts of Artificial Intelligence (AI) and its applications in business environments.