Javascript is currently not supported, or is disabled by this browser. Please enable Javascript for full functionality.

   
    Dec 13, 2024  
Catalog 2023-2024 
    
Catalog 2023-2024 [ARCHIVED CATALOG]

Data Science, AS


Return to {$returnto_text} Return to: Programs of Study in Alphabetical Order

No. of Credits: 60

Contact: Lakisha Ferebee, Chair, Technology

Joe Burgin, Program Coordinator

Every industry using computing systems is awash in data. A scientific approach to analyzing data allows stakeholders to monitor processes and engage in informed decision making.

CSM’s Data Science program is organized around core coursework teaching students to manage, explore, model, and visualize data for descriptive, diagnostic, predictive and prescriptive analysis. This program will provide students with the underlying mathematical and computational foundations, hands-on experience with industry standard statistical and programming tools, as well as exploration of current ethical issues in the field of data science.

This Data Science, AS Program is designed for transfer to four-year institutions requiring mathematical, computer science, information technology and data science preparation.

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

  • PCEP - Certified Entry-Level Python Programmer
  • PCAP - Certified Associate in Python Programming
  • CompTIA ITF+ - CompTIA IT Fundamentals

The maximum number of credits accepted in transfer from other institutions to this program is 45.

Program Outcomes:

Students who successfully complete the Associate of Science in Data Science will be able to:

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

Transfer Options


A complete list of all transfer opportunities can be found on the Transfer Services page.

Science, Technology, Engineering, and Math Pathway


pathway iconLearn 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.

Communications (3 credits)


See General Education Requirements and Courses   

Biological/Physical Sciences (4 Credits)


Acceptable (lecture and matching lab):

Social/Behavioral Sciences (3 Credits)


Acceptable:

Biological/Physical Sciences (3 Credits)


Acceptable:

Social/Behavioral Sciences (3 Credits)


Completion of this course meets the Social/behavioral and Cultural and Global Awareness requirements.

Acceptable:

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)

Return to {$returnto_text} Return to: Programs of Study in Alphabetical Order