2017-2018 Academic Catalog 
    
    Nov 12, 2019  
2017-2018 Academic Catalog [Archived Catalog]

Data Science, M.S.


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Data science is a concept to unify statistics, data analysis and their related methods in order to understand and analyze actual phenomena with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science.

The Master of Science in Data Science is designed to accommodate professionals currently working in the field as well as students who have completed or are completing their undergraduate degree in mathematics, statistics, or a related field.  The advanced coursework and thesis project of this program are specifically designed to prepare students for careers as applied statisticians and data analysts in business and industry, finance, government, consulting firms, and research organizations. 

The Maryville University Mathematics Program offers a 12 course program leading to the Master of Science in Data Science.  Some of the courses are project based learning. The program is designed to prepare students:

  • to solve statistical problems, to make proper statistical inferences
  • to develop and apply statistical models to concrete situations in business and finance
  • to use the basic statistical tools of judgmental forecasting that allow companies to function and compete in the modern world
  • to use statistical methods and tools of data analysis to manage risk
  • to demonstrate computational competence
  • to critically analyze how theory can be applied to practice
  • to make professional judgments based on sound ethical values.
  • to deal with big data.

Early Access to the Graduate Program in Data Science

All Maryville University Data Science and Actuarial Science undergraduate students in good standing are eligible for early access to the Master’s program in Data Science.  Students should consult their academic adviser and forward an abbreviated graduate application with academic records to the Program Director of Data Science and Actuarial Science.

 

Please see admission requirements for more information.

All students will be required to successfully complete 12 graduate courses, including the following:

 

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