Applied AI and Data Analytics

INVEST IN YOUR FUTURE

The Applied AI and Data Analytics program at the Chambers College of Business and Economics is located at the intersection of prescriptive analytics and data science for business. Prescriptive analytics uses techniques from operations research, operations management and global supply chain to help businesses achieve better outcomes. Data science for business entails the use of data management technologies, data mining, machine learning and visualization techniques to help organizations better use the large-scale data they collect to optimize business outcomes. Additionally, the curriculum lends itself to large scale data set analysis for problems such as sports management, healthcare research, or the investigation of solutions for societal issues. 

• statistical techniques,
• data mining,
• database utilization, and
• analytical tools. 

You will apply data analytics to decision making in organizations, improving performance metrics and measurement, risk indicators, assessment and response and compliance. 

• synthesize data trends,
• identify competitive drivers,
• successfully communicate the analysis and findings of an analytics initiative, and
• use visualization tools and advanced presentation skills to facilitate data-driven decision making. 

All Applied AI and Data Analytics students work on experiential learning projects with companies and clients and present their results in a C-Suite level presentation at the conclusion of their capstone project. 

The mission of our program is to enhance a student’s ability to use analytics and data science techniques to support informed business decisions and increase organizational value.