Data Science (Minor)

Overview

The Data Science minor emphasizes practical knowledge of the principles and techniques of data analysis. Critical analysis, modeling, and presentation of data are also covered. Given the prevalence and importance of data in the modern world, this minor is beneficial for a wide variety of students. The field importance of data in the modern world, this minor is beneficial for a wide variety of students. The field specific applied analytics course serves as a capstone experience where students design and carry out a data analysis project in their area of interest. This minor helps prepare students for careers or graduate work in data analysis and provides a foundation for further study in the high demand field of data analytics.

Minor Requirements

Required Mathematics Core (6 hours)

MATH 2203Elementary Statistics

3

MATH 3203Advanced Statistics & Data Analysis

3

Field Specific Applied Analytics (minimum of 3 hours)

CHEM 4451Research

1

CHEM 4452Research

2

CHEM 4453Research

3

IDS 4462Research Project I (Design)

2

IDS 4552Research Project II (Implementation)

2

PSYC 3003Research Methods in Psychology

3

Required Computer Science Core (9 hours)

CSCI 1143Introduction to Computing

3

CSCI 2143Programming in "C/C**" I

3

CSCI 3003Data Visualization

3