STEM

M.S. Data Analytics

@ McDaniel College

 

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.

McDaniel College

Location:

  • Westminster, MD

Tuition:

  • From $675 / credit hour
  • From $12,150 / year
  • Learn more>

Program Start Dates:

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