Managing Ai Projects AI 640 TBA 03/09/26 - 05/03/26 3 AI project can help predict trends and optimizes operations, allowing businesses to understand not just what has happened but what will happen-and what should be done about it. By the end of this course, students will be prepared to drive financial and operational impact by managing AI project lifecycles: developing comprehensive project plans, managing data and models, ensuring effective deployment, and communicating progress and outcomes to stakeholders.
Managing Ai Projects AI 640 TBA 05/04/26 - 06/28/26 3 AI project can help predict trends and optimizes operations, allowing businesses to understand not just what has happened but what will happen-and what should be done about it. By the end of this course, students will be prepared to drive financial and operational impact by managing AI project lifecycles: developing comprehensive project plans, managing data and models, ensuring effective deployment, and communicating progress and outcomes to stakeholders.
Managing Ai Projects AI 640 TBA 10/26/26 - 12/13/26 3 AI project can help predict trends and optimizes operations, allowing businesses to understand not just what has happened but what will happen-and what should be done about it. By the end of this course, students will be prepared to drive financial and operational impact by managing AI project lifecycles: developing comprehensive project plans, managing data and models, ensuring effective deployment, and communicating progress and outcomes to stakeholders.
Business Analytics BA 328 MW 08/24/26 - 12/13/26 3 This course enables students to compete in a data-driven business environment. The availability and extensive use of data in business today made analytics one of the most sought-after skills for students. The course provides student with the analytical tools and techniques to enable them to turn data into meaningful insights, and consequently take better and more profitable business decisions. The course introduces students to the different types of business analytics: Descriptive, predictive and prescriptive analytics. Topics covered in the course include single and multiple linear and nonlinear regressions, time series analysis and forecasting techniques, and linear optimizations. Prerequisite: STA 326
Business Analytics BA 328 TBA 01/20/26 - 05/07/26 3 This course enables students to compete in a data-driven business environment. The availability and extensive use of data in business today made analytics one of the most sought-after skills for students. The course provides student with the analytical tools and techniques to enable them to turn data into meaningful insights, and consequently take better and more profitable business decisions. The course introduces students to the different types of business analytics: Descriptive, predictive and prescriptive analytics. Topics covered in the course include single and multiple linear and nonlinear regressions, time series analysis and forecasting techniques, and linear optimizations. Prerequisite: STA 326
Business Analytics BA 328 TBA 05/11/26 - 08/15/26 3 This course enables students to compete in a data-driven business environment. The availability and extensive use of data in business today made analytics one of the most sought-after skills for students. The course provides student with the analytical tools and techniques to enable them to turn data into meaningful insights, and consequently take better and more profitable business decisions. The course introduces students to the different types of business analytics: Descriptive, predictive and prescriptive analytics. Topics covered in the course include single and multiple linear and nonlinear regressions, time series analysis and forecasting techniques, and linear optimizations. Prerequisite: STA 326
Business Analytics BA 328 TBA 08/24/26 - 12/13/26 3 This course enables students to compete in a data-driven business environment. The availability and extensive use of data in business today made analytics one of the most sought-after skills for students. The course provides student with the analytical tools and techniques to enable them to turn data into meaningful insights, and consequently take better and more profitable business decisions. The course introduces students to the different types of business analytics: Descriptive, predictive and prescriptive analytics. Topics covered in the course include single and multiple linear and nonlinear regressions, time series analysis and forecasting techniques, and linear optimizations. Prerequisite: STA 326
Advanced Analytics BA 329 MW 01/20/26 - 05/07/26 3 This course builds on business analytics (BA328) and provides students with more advanced data analytics techniques to enable them to handle more complicated business situations. The course concentrates on predictive and prescriptive analytics, and covers topics such as advanced regression models, advanced time series forecasting methods, linear and nonlinear optimizations, Monte Carlo simulation, spreadsheet modeling, and data mining. Prerequisite(s): BA 328
Data Mining BA 428 TBA 08/24/26 - 12/13/26 3 This course combines programming and data mining. Data mining uses techniques and algorithms to study data sets trying to find patterns in them and make forecast based on these patterns. Students will learn how to apply data mining techniques to big data and extract useful information for decision making. This is a hands-on course with many real-world applications in each topic. A computer software, R, Python, or any other will be used extensively in this course. The course covers topics such as data exploration and preparation, database management, dimension reduction, ensemble learning, cluster analysis, classification, association rule, anomaly detection, and web mining and text mining. Prerequisite(s): BA 329
Business Analytics Fundamentals BA 600 S 06/29/26 - 08/15/26 3 This course enables students to compete in a data-driven business environment. The availability and extensive use of data in business today made analytics one of the most sought-after skills for students. The course provides student with the analytical tools and techniques to enable them to turn data into meaningful insights, and consequently take better and more profitable business decisions. The course introduces students to the different types of business analytics: Descriptive, predictive and prescriptive analytics. Topics covered in the course include single and multiple linear and nonlinear regressions, time series analysis and forecasting techniques, data mining, Monte Carlo simulation, and linear and nonlinear optimizations. Prerequisites: BUS 598
