Data Science Certificate: 256

:256

This certificate will provide students with experience in the field of data science including such areas as data management, data analysis, data collection, and data visualization. It is suitable for students who wish to begin work in the field, for those who wish to supplement their existing coursework with additional experiences in these data science areas, and for students who have obtained a bachelor’s or other degree in any number of analytical and scientific fields and wish to upgrade or update their skills and training.

Program Requirements

All students should review the Program Advising Guide and consult an advisor.

MATH 117 - Elements of Statistics 3 semester hours
OR
MATH 217 - Biostatistics 3 semester hours
OR
BSAD 210 - Statistics for Business and Economics 3 semester hours
DATA 101 - Introduction to Data Science 3 semester hours
DATA 110 - Data Visualization and Communication 3 semester hours
DATA 201 - Statistical Methods in Data Science 3 semester hours
DATA 205 - Capstone Experience in Data Science 4 semester hours

Total Credits: 16

Program Outcomes

Upon completion of this program a student will be able to:

Assess different analysis and data management techniques and justify the selection of a particular model or technique for a given task.
Execute analyses of large and disparate datasets and construct models necessary for these analyses.
Demonstrate competency with programming languages and environments for data analysis.
Summarize findings of complex analyses in a concise way for a target audience using both graphics and statistical measures.