Data Science, Letter of Recognition

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No. of Credits: 9

Contact: Lakisha Ferebee, Chair, Technology

Joe Burgin, Program Coordinator

This course sequence introduces students to Data Science. Students develop an initial understanding of the mathematical, computational and analytics elements of the field of Data Science.
These courses may be applied to a Data Science Certificate and an Associate of Science degree in Data Science.

The coursework in this program prepares students for these industry professional certifications:

PCEP - Certified Entry-Level Python Programmer
PCAP - Certified Associate in Python Programming

The maximum number of credits accepted in transfer from other institutions to this program is 6.

View Program Website

Student Learning Outcomes:

Students will…

Store, process and retrieve data in diverse formats for analysis.
Produce and interpret numerical summaries and data visualizations to explore insights from analysis.
Establish a foundation in modeling diverse datasets to describe and test relationships among variables.
Develop foundational proficiency with computer programming code to model data for experiment and analysis.
Discuss ethical and moral issues impacting society in the field of data science.

Science, Technology, Engineering, and Math Pathway

Learn more about the Science, Technology, Engineering, and Math Pathway.

Visit Career Coach for more information on this program, related programs, and job opportunities in Southern Maryland and the Washington D.C. Metropolitan region.

Required Courses and Recommended Sequence:

The following is a recommended sequence of courses for completing this program. College Prep and prerequisite course requirements, credit load, and/or course availability may affect a student’s individual progress. Course availability within the program sequences is specifically intended for full-time students who begin their course work with the fall semester. Students should always consult their online program evaluation or an academic advisor to better understand typical course availability and individual program planning.

First Semester

Second Semester

ITS-2480 - Foundations of Data Science* (3)

Notes:

*Courses requiring a prerequisite or co-requisite

****Pending MHEC approval

Course Indicators: English Composition (E), Arts (A), Cultural and Global Awareness (C), Humanities (H), Biological/Physical Sciences (S), Social/Behavioral Sciences (B), Mathematics (M)