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Data - Practical Data Science

The Certificate in Practical Data Science is designed for undergraduate students and will supplement current administrative, journalistic and technical careers with marketable skills. Upon completion, the student will have gained a foundational understanding and related competencies in many facets of effective communication with data.

Competencies will include how to conduct surveys and experiments, data wrangling, cleaning, sampling, analyzing, and visualizing of data, and more. Topics pertaining to the analysis and presentation of big data will be explored. Intended as a stand-alone certificate, students will be able to apply data analysis skills in any career or job that requires reporting from quantitative and qualitative sources of information.

Fall Semester

Course ID Course Theory Lab Credits
ARTS125G Visual Language 3 0 3
Classroom 3, Lab 0, Total 3
DATA210G Elements of Data Science 3 0 3
Classroom 3, Lab 0, Total 3
MATH210G Pre-Calculus 4 0 4
Classroom 4, Lab 0, Total 4
or
 
MATH225G Probability and Statistics 4 0 4
Classroom 4, Lab 0, Total 4
Total Credits 10

Spring Semester

Course ID Course Theory Lab Credits
CIS177G Introduction to Python 2 2 3
Classroom 2, Lab 2, Total 3
MATH235G Statistics for Engineers and Scientists 4 0 4
Classroom 4, Lab 0, Total 4
DATA220G Data Analysis with R 3 0 3
Classroom 3, Lab 0, Total 3
Total Credits 10

Summer Capstone

Course ID Course Theory Lab Credits
DATA225G Analytics Capstone 0 4 2
Classroom 0, Lab 4, Total 2
Total Credits 2

Total Overall Credits : 22

Still not sure?

Contact one of the Program Faculty or an Admissions Representative to learn more about the program.