Data Science Certificate in Applied Science

Program Description

The embedded Data Science Certificate equips students with the foundational skills and knowledge required to analyze and interpret large data sets using statistical techniques and modern computing tools. This program focuses on essential topics such as data visualization, machine learning, statistical analysis, and database management. Students will gain hands-on experience working with real-world data, preparing them for roles in data analytics, data engineering, or advanced studies in the field of data science.

Mission Statement

The mission of the Data Science Certificate is to provide students with the analytical, computational, and critical thinking skills necessary to extract insights from data. By focusing on practical applications and industry-relevant tools, the program aims to develop graduates who are capable of solving complex problems and driving data-driven decision-making in a variety of industries..

Entrance Requirements

High school diploma or GED

Type of Program

Day, Evening, and Online

Requirements for Completion

A grade of "C" or higher in all courses is required.

Employment Opportunities

Graduates of the Data Science Certificate are prepared for entry-level or support roles that assist with data preparation, analysis, and reporting in technical and business environments. Typical opportunities include junior data analyst, data analytics assistant, data support specialist, or roles that involve working with datasets, visualizations, and basic analytical models under supervision. These positions are found across industries such as healthcare, finance, manufacturing, logistics, technology services, and research-focused organizations, where data is used to support operational analysis and informed decision-making.

Listed below is a recommended sequence of courses. This plan is intended to be flexible and may be completed on a less-than-full-time basis, including three-quarter-time or half-time enrollment, to accommodate working professionals. Course availability and individual circumstances may affect scheduling, and not all courses are offered every semester. Students are encouraged to consult with an advisor to develop a personalized plan of study.

Plan of Study Grid
Preferred Sequence
First Semester		Hours
CPT 113	Information Systems	3
CPT 257	Operating Systems	3
CPT 170	Computer Applications I	3
	Total Semester Hours	9
Second Semester
CPT 127	Python Programming I	3
IST 272	Relational Database	3
	Total Semester Hours	6
Third Semester
CPT 227	Python Programming II	3
CPT 189	Data Science I	3
Select One of the Following		3
IST 239	Javascript
CPT 236	Java Programming I
	Total Semester Hours	9
Fourth Semester
CPT 273	Data Visualization	3
CPT 289	Data Science II	3
IST 278	Database Programming	3
	Total Semester Hours	9
	Total Required Credit Hours	33