The course offerings in the Data Science and Analytics program provide a comprehensive foundation for students looking to advance their skills in analytics, statistics, and database management. Descriptive Analytics introduces students to the fundamental methods for summarizing and interpreting data, providing a solid foundation for data-driven decision-making. Building on this, Predictive Analytics delves into techniques used to forecast future trends and behaviors based on historical data, while Analytics Methods expands on various approaches and tools commonly applied in data analysis. Visual Analytics teaches students how to communicate complex data insights effectively through compelling visual representations, enhancing their ability to make data-driven decisions in business contexts. Additionally, the Advanced Business Problems course, with a focus on Python, allows students to apply their skills to real-world business problems, honing their practical problem-solving abilities using a popular programming language. Database Management provides a deep dive into organizing, storing, and querying large datasets, which is critical for managing complex data environments. Advanced Statistical Analysis prepares students for sophisticated statistical methods, enabling them to perform in-depth analysis and draw insights from complex datasets. For those interested in operations research, the Survey of Operations Research with a focus on Stochastic Methods introduces key concepts used in decision-making and optimization problems under uncertainty. Finally, the Independent Readings course in Business Forecasting and Applications allows students to explore advanced forecasting techniques, fostering the development of specialized knowledge in predicting business outcomes. Together, these courses form a robust curriculum that equips students with the necessary tools to excel in data science and analytics roles.

The courses in this program offer a blend of foundational knowledge and specialized skills in the fields of business, technology, and data science. The AI for Business course provides students with an understanding of how artificial intelligence can be leveraged to solve real-world business problems, offering insights into machine learning, automation, and data-driven decision-making. Alternatively, Information Systems explores the management and strategic use of information technology within organizations, focusing on how IT infrastructure supports business processes and objectives. The Cybersecurity for Business course equips students with the skills needed to protect organizational data and systems from security threats, ensuring that businesses can safeguard sensitive information and maintain operational integrity. Alternatively, the Cloud Strategy course provides an in-depth look at cloud computing, teaching students how to effectively design and implement cloud-based solutions to enhance business flexibility and scalability. Lastly, the Data Mining Tools course offers specialized training in data mining techniques and tools, enabling students to extract meaningful insights from large datasets and apply those insights to inform business decisions. Together, these courses provide students with the expertise to thrive in the rapidly evolving landscape of technology-driven business.