M.S. Data Analytics

The data analytics program prepares graduates to be data analysts, operational analysts, and leaders in the global IT industry. The curriculum provides key technologies in data science, statistics, data mining, problem analysis, big data, and decision-making. Students gain experience and apply theoretical foundations in data analytics. The program emphasizes real-world application, clear interpretation of results, and ethical data collection, use, and storage. Upon completion, students will be prepared to operate in data-rich environments, driving decisions and enhancing organizational performance. Students develop expertise in statistical methodology and database development and management and have the opportunity to collect, study, and analyze data through a final capstone experience in the second year.

Specializations

• General Data Analytics - 30 credits (2 years)
• Artificial Intelligence - 33 credits (2.25 years)
• Business Analytics - 36 credits (2.25 years)

Degree Course Requirements - 30 credit hours

• ANA 500 - Foundations of Data Analytics
• ANA 505 - Data Mining: Algorithms and Applications
• ANA 510 - Statistical Methods for Data Scientists
• ANA 515 - Fundamentals of Data Storage
• ANA 522 - Fundamentals of Programming in Python
• ANA 525 - Qualitative Methods
• ANA 530 - Quantitative Reporting and Modeling
• ANA 535 - Forecasting
• ANA 540 - Advanced Data Analytics
• ANA 555 - Practicum in Applied Analytics, Data Communication & Ethics

For a complete description of the above requirements, please go to the Course Catalog.