Data Analytics Minor

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The interdisciplinary minor of Data Analytics is designed to serve students who want to develop computational, graphical and analytic skills related to data.

The minor provides students with basics in statistical and mathematical analysis, computational skills with relevant software as well as experience in geospatial and GIS analysis fields.

Program Requirements

MATH 1300 - Precalculus 4 cr.
MATH 1700 - Applied Statistics 3 cr. or
MATH 1800 - Business Statistics 3 cr. or
MATH 2800 - Introduction to Statistical Analysis 3 cr.
CSC 1002 - Computational Thinking 3 cr. or
CSC 1500 - Computer Science I 3 cr.
GEOG 2400 - Introduction to Geospatial Technologies 3 cr.
DATA 2000 - Principles of Data Analysis 3 cr.
CSC 3012 - Introduction to Data Science 3 cr.

Electives

GEOG 2600 - Environmental Science Data Visualization 3 cr.
GEOG 4001 - Web GIS 3 cr.
GEOG 4500 - Remote Sensing of the Environment 3 cr.
CSC 3011 - Data Modeling and Database Design 3 cr.
MATH 3003 - Advanced Statistics 3 cr.
MATH 3001 - Scientific Computation and Visualization 3 cr. or
CSC 3003 - Scientific Computation and Visualization 3 cr.

Note

Note: up to three courses may count for both this minor and the student’s major courses.

Required General Education Courses

MATH 1700 - Applied Statistics 3 cr. or
MATH 1800 - Business Statistics 3 cr. or
MATH 2800 - Introduction to Statistical Analysis 3 cr.
MATH 1300 - Precalculus 4 cr.
CSC 1002 - Computational Thinking 3 cr. or
CSC 1500 - Computer Science I 3 cr.
DATA 2000 - Principles of Data Analysis 3 cr.
CSC 3012 - Introduction to Data Science 3 cr.
GEOG 2400 - Introduction to Geospatial Technologies 3 cr.