To prepare students for leading IT-enabled change in organizations, MIS faculty utilize a variety of instructional methods, which include:

• Hands-on computer experience
• Class lectures and discussions, textbook and article studies
• Class assignments, laboratory projects, and applied (team) projects in the business community
• Case studies and demonstrations

• Field trips and presentations by industry practitioners

Topics covered include:

• Computer programming in business
• Data management
• Business process management
• Project management
• Web application development with PHP
• System analysis and design

Students in Data Analytics will learn about structured and unstructured data, query languages, statistical language, visualization, predictive analytics, and data science techniques.

Possible career paths include:

• data analyst
• business analyst
• analytic professional
• business intelligence professional
• data engineer
• database administrator

• chief analytic officer