Why study Analytics at MC?

Analytics is an interdisciplinary field combining mathematics, computer science and statistics that integrates knowledge needed to draw insights from data. A Minor in Analytics is a valuable complement to majors in the biological sciences where sophisticated methods of data analysis are increasingly common and researchers with this expertise are in high demand. It is also a valuable addition to students majoring in a business-oriented field (see also the Major in Business Analytics), as businesses increasingly make use of data analysis, forecasting and optimization techniques to drive efficiency and profit. Students in other majors wishing to supplement and enhance their liberal arts education will find these skills to be broadly applicable and exceptionally marketable.

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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Students successfully completing this program of study will have achieved the following learning outcomes:
1. Communicate mathematical ideas with precision and clarity in both written and oral form to a variety of audiences.
2. Understand the logic behind statistical inference – the science of drawing conclusions from limited data — and be able to assess the role of variability in estimations.
3. Confidently use software to store, organize, manipulate and analyze large quantities of data.
Students choosing the first option of courses (MTH 321 / CSC 314) will deepen their understanding of uncertainty and learn more advanced data-manipulation techniques whereas those choosing the second option of courses (MTH 305 / MTH 3xx) will learn to use mathematics to model and optimize real-life phenomena.

The Minor in Analytics, which involves study in mathematics, statistics, and computer science and provides valuable analytical and quantitative skills for students interested in a variety of fields, requires 21 credit hours.

Required courses include:

Minor and Minor-Related Courses

MTH 125: Calculus I (MR)(4 hrs)
MTH 222: Regression Analysis(3 hrs)
CSC 130: Introduction to Computer Science and Programming(4 hrs)
CSC 260: Database Management Systems(4 hrs)

Either set of the following courses:

MTH 321: Probability & Statistics I(3 hrs)
And
CSC 314: Data Mining(3 hrs)
Or
MTH 305: Mathematical Modeling(3 hrs)
And
Any 300-level MTH course

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.

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Interested in this Program of Study at Maryville College? Submit your basic information and an Admissions counselor will contact you shortly to answer any questions you might have.

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