ҹɫÍõ³¯

This specialization will allow Cox BBA students to gain a thorough understanding of the key principles underlying artificial intelligence and machine learning, and the use of these technologies in business applications. It will significantly enhance students' effectiveness in many professional roles, since AI tools are becoming commonplace very rapidly, and AI applications are reshaping business processes in all kinds of businesses.

The specialization can be combined with any major within the Cox School. The specialization requires at least three qualifying courses. The initial set of qualifying courses are as follows:

Advanced Decision Modeling
Introduces advanced quantitative modeling techniques for business decision-making. Covers a variety of modeling techniques, business analytics concepts, and data analysis tools. Students learn to implement these techniques in spreadsheet models that assist businesses in understanding and managing risk and improving decision-making. Applications cover a broad range of functional areas, including operations, accounting, finance, marketing, and human resource management. 

Business Intelligence and Big Data
Starts with the design and use of enterprise data management systems for management decision support, such as data warehouses and data marts, multidimensional databases, and OLAP. Provides hands-on experience with data warehouses and related peripheral systems, as well as data management skills that are essential for successful business analytics in large and medium-size traditional enterprises. Covers Hadoop and Spark, the platforms at the heart of most big data analytics initiatives. Heavy emphasis on the development of skills required for students to be successful as analysts. 

Predictive Analytics and Machine Learning
Covers various methods for gaining insights from both structured and unstructured business data. Starts with discussion of time series forecasting, then covers machine learning and data mining technologies, such as neural networks, clustering, and association-based reasoning, and examines how companies can apply these technologies to different types of decision and planning problems. Also covers AI/ML applications in various functional areas, such as training, customer service, process improvement, and operations. 

Artificial Intelligence in Business 
This course explores the transformative role of Artificial Intelligence (AI) in modern business environments, with a focus on its applications in operations, marketing, and finance. Students will gain a strategic understanding of how Generative AI and Agentic AI are applied, reshaping industries, enhancing decision-making, and driving innovation. Through real-world case studies and hands-on exercises, students will learn to apply these models in class, developing actionable insights into leveraging these technologies for competitive advantage.

If students are interested in continuing AI studies beyond their BBA, consider exploring the ҹɫÍõ³¯Cox 4+1 Program and pursue the MS in AI for Business.