Master's Degree in Data Analytics

The Master of Science in Data Analytics program from Northwest Missouri State University readies you for a rewarding career using technology techniques to identify, collect, analyze and transform data. Besides acquiring experience in top programming languages, you will also gain hands-on practice with leading data analysis software and platforms. This online program is taught by experienced and dedicated faculty who will support your master's degree studies from start to finish. The on-campus program can be completed in 16 months.

Why Study Data Analytics at Northwest

The comprehensive curriculum in this master's in data analytics online program prepares you to contribute your expertise by learning how data affects decision-making through real-life project experiences.

Curious about the difference between our M.S. in Data Analytics and our MBA in Business Analytics? Upon completing the M.S. in Data Analytics program, you will be equipped to handle large data sets in a technical capacity, utilizing data science to uncover data-driven solutions. As a data analyst, your role would involve presenting information crucial for organizations to make well-informed decisions. On the other hand, our MBA in Business Analytics focuses on enhancing your comprehension of how data influences decision-making and honing your ability to communicate effectively across all business levels.

Graduates with an M.S. in data analytics will be able to:

• Identify and evaluate moral and ethical issues in data analysis
• Gain experience in top programming languages such as Python™ and SQL
• Select the appropriate tools for analyzing data that helps businesses and organizations make informed decisions
• Locate, extract and transform raw data into useful information
• Apply descriptive and prescriptive analytic techniques to offer possible solutions to business problems
• Construct and present compelling visuals to communicate a data-driven story
• Gain familiarity in using data analysis software and platforms to**:
  • Process static data and streaming data to gain useful, actionable insights
  • Process data locally and on major cloud platforms (e.g., Amazon, Google Cloud Platform, Microsoft Azure)
  • Process data using popular analytics services, platforms, and APIs (e.g., Apache Kafka, Apache Spark, Apache Beam, Splunk, Tableau)
  • Process data using popular relational and NoSQL datastores (e.g., PostgreSQL, mySQL, MongoDB)
  • Collaborate professionally using modern version control systems and code hosting platforms (e.g. Git, GitHub, BitBucket)
• Plan and execute an independent, real-world project using what you've learned about data analytics throughout the online program

**Most software will be free for student use, but there might be nominal fees associated with some of these.