M.S. Data Analytics

 

The data analytics program at McDaniel College prepares graduate learners to be successful data analysts, operational analysts, and leaders in the global IT industry. The curriculum provides a comprehensive understanding of key technologies in data science, statistics, data mining, problem analysis, big data, and decision making. Students gain hands-on 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.

 

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.