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Data Analytics

Minor

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

Data Analytics Core Courses (Both Required)

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.

A grade of C or higher is required for IIPHYS 342 and ISMGT 383.

Cluster courses:
8 credits

Choose one course from each cluster.

(Please note some courses have pre-requisites within the clusters.)

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
  • ISCS 210 Python Programming
  • 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.

  • CHEM 251 Quantitative Analysis
  • CS 480 Machine Learning
  • ECON 420 Econometrics
  • HP 460 Research Methods in Human Movement
  • MATH 242 Applied Statistics
  • MATH 362 Math Modeling and Computing
  • MGT 335 Strategic Digital Marketing
  • 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