Ten-month Curriculum

Our intensive ten-month curriculum will teach students the requisite analytic skills, such as machine learning and artificial intelligence needed to work with big data sets and to solve complex problems from multiple perspectives.  The curriculum provides a “book-end” approach where business context is taught first, followed by intensive analytic methodology coursework, and ending with a final business application capstone project.  Interwoven in each course in the program will be assignments which will require students to analyze data and present it in at least one of the common modalities used in business including verbal communication with presentation software such as PowerPoint or by written communication such as white papers, memos, and reports.

• Business Foundation Course (3 credits)

• BUAD 5012 - Competing Through Business Analytics Credits: (3)

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• Analytics Methodology Courses (24 credits)

• BUAD 5022 - Optimization Credits: (3)
• BUAD 5032 - Stochastic Modeling Credits: (3)
• BUAD 5042 - Heuristic Algorithms Credits: (1.5)
• BUAD 5072 - Machine Learning I Credits: (3)
• BUAD 5082 - Machine Learning II Credits: (3)
• BUAD 5272 - Database Management Credits: (3)
• BUAD 5722 - Big Data Credits: (3)
• BUAD 5732 - Data Visualization Credits: (1.5)
• BUAD 5742 - Artificial Intelligence Credits: (3)

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• Capstone Course (3 credits)

• BUAD 5792 - Business Analytics Capstone Credits: (3)