Why study Data Analysis at MC? 

Data analysis and analytical thinking are among the most in-demand job skills and, as with any skill, mastery requires many hours of practice.  The interdisciplinary Minor in Data Analysis develops that mastery through applying current software to implement statistical methods and data visualization techniques to answer research questions in a variety of disciplines. 

The minor can serve as a valuable complement to any major that involves research and, because developing expertise in data analysis requires challenging assumptions, considering alternative explanations for results, and evaluating implications of conclusions, fits well as part of a liberal arts education.

Chair, Division of Mathematics & Computer Science, Professor of Statistics
Dr. Jeff Bay
Chair, Division of Mathematics & Computer Science, Professor of Statistics
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Professor of Art
Adrienne Schwarte
Professor of Art
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Associate Professor of Biology
Dr. David Unger
Associate Professor of Biology
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To address research questions in a variety of disciplines, students will be able to

  1. Design studies and connect the design to the scope of inferences.
  2. Identify and apply appropriate statistical methods and data visualizations.
  3. Use current software in the practical application of data analysis to real-world situations.

The Data Analysis minor requires a minimum of 16 hours in courses that focus on the analysis of data using current software.

Required courses include:

Minor and Minor-Related Courses

STA 120: Introductory Statistics(4 hrs)

Four courses from the following:*

*Other courses may substitute for those listed here if they involve significant data analysis and if they are approved by the coordinator of the Data Analysis Minor.

MTH 222: Regression Analysis(3 hrs)
MTH 221: Inferential Statistics w/Data Visualization(3 hrs)
DSN 249: Data Visualization(3 hrs)
ECN 249: Using Big Data to Analyze Social Issues(3 hrs)
CSC 260: Database Management Systems(4 hrs)
CSC 314: Data Mining(3 hrs)
BIO 315: Geographic Information Systems (GIS)(3 hrs)
PSY 311: Research Design(3 hrs)
PSY 312: Experimental Psychology(4 hrs)

In addition to required courses for majors and minors, Maryville College students take classes in the Maryville Curriculum, a core program of general education. Consisting of 51 credit hours, the Maryville Curriculum ensures that students see their major in a wider context and develop the basic communication, quantitative, and critical thinking skills that are needed for success in college and career.

You may also be interested in:

Business Analytics

Computer Science

Mathematics

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