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Data Analytics

School of Sciences, Sustainability, and Health

This interdisciplinary minor prepares students to use data analysis within their careers. Students will develop their skills to evaluate and interpret data in order to make better-informed decisions. In addition, students will develop their visualization and communication skills. The minor’s selective elective courses provide an opportunity to apply the data analytic skills in a specific area of related interest.

Minor Requirements

22 credits

Foundational Statistics Course

Choose one:

  • MATH 141 Introductory Statistics
  • MATH 175 Data Analysis for Teachers
  • MGT 140 Quantitative Decision-Making
  • PSYC 251 Psychological Statistics

A grade of C or higher is required for the Foundational Statistics Course

Data Analytics Core Courses

The following courses provide a foundational set of tools, analysis techniques, visualization, practice problem solving.

IIPHYS 342 Data Analysis for Scientists
ISMGT 383 Applied Data Analysis & Vis.

Cluster courses

Choose one course from each cluster.

Methods and Tools Cluster:

These courses develop a deeper understanding of techniques and methodologies used in various disciplines for computational background, data acquisition and preliminary analysis.

  • BIO 313 Population & Community Ecology
  • COMM 472 Quantitative and Qualitative Methods
  • ECON 370 Financial Economics
  • ENST 301 Environmental Research Methods
  • GEOG 324 GIS Analysis
  • ISCS 210 Python Programming
  • ISPH 285 Health in Society
  • PH 305 Epidemiology
  • PSYC 252 Research Methods in Psychology
  • SOC 301 Sociological Research Methods

Active Experimentation Cluster:

These courses use data analysis techniques to focus on problem solving, interpretation, and implementation of scientific decision making.

  • BIO 468 Genomic Bioinformatics
  • CHEM 251 Quantitative Analysis
  • CS 480 Machine Learning
  • ECON 420 Econometrics
  • HP 460 Research Methods in Human Movement
  • ISCS 380 Digital Image Processing
  • MATH 242 Applied Statistics
  • MATH 362 Math Modeling and Computing
  • MGT 434 Marketing Research
  • SOC 303 Sociological Quantitative Analysis
  • SPDI 410 Mechatronics and Automation course

Portfolio & Career Course

2 credits

MGT 384 Data Analytics Portfolio Plus