Montgomery College 2022-2023 Catalog 
    
    May 09, 2024  
Montgomery College 2022-2023 Catalog [ARCHIVED CATALOG]

Data Science AS: 416


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: 416

The degree provides an excellent opportunity for students wanting to increase their data literacy, improve their marketability, and/or prepare for a career in a data science field. It is also suitable for those who wish to advance their professional careers by supplementing their work experience or an existing college or graduate degree with data science knowledge. Students will use mathematics, statistics, and data science skills to tackle unstructured data, solve multifaceted problems, consider ethical implications, and make data-driven recommendations. Through hands-on experiences using a variety of the most ubiquitous data tools and technology, students will learn to build the skills necessary to explore, analyze, visualize, and communicate about large data sets. Additionally, students will explore ethical implications of the use of data in the data lifecycle.

General Education Course Selections


Click here to view the Foundation/Distribution Courses  for selection to fulfill the General Education course requirements.

Suggested Course Sequence


A suggested course sequence for full-time students follows. All students should review the Program Advising Guide and consult an advisor.

First Semester


Second Semester


Third Semester


Fourth Semester


Total Credit Hours: 60


* ENGL 101 /ENGL 101A, if needed for ENGL 102 /ENGL 103  or program elective. 

** Students are strongly encouraged to take two consecutive lab sciences courses. Examples include CHEM 131 /CHEM 132 , PSCI 101 /PSCI 102 , PHYS 203 /PHYS 204 

MATH 284  may be substituted for MATH 264 .

† Program Electives: MATH 165 , MATH 182 , CMSC 140 , CMSC 203 , CMSC 206 , GEOG 240 , and GEOG 260 . Department strongly recommends CMSC 206  and GEOG 240 . CMSC 206  provides programming skills in Python; GEOG 240  provides foundational knowledge of Geographic Information Systems (GIS). Not all program elective options transfer to all institutions. Please consult a data science program advisor or the transfer institution before selecting program elective courses. 

Program Outline / Degree Requirements


General Education Requirements


Foundation Courses


Distribution Courses


General Education Electives


Program Requirements


Total Credit Hours: 60


* ENGL 101 /ENGL 101A, if needed for ENGL 102 /ENGL 103  or program elective. 

** Students are strongly encouraged to take two consecutive lab sciences courses. Examples include CHEM 131 /CHEM 132 , PSCI 101 /PSCI 102 , PHYS 203 /PHYS 204 

MATH 284  may be substituted for MATH 264 

† Program Electives: MATH 165 , MATH 182 , CMSC 140 , CMSC 203 , CMSC 206 , GEOG 240 , and GEOG 260 . Department strongly recommends CMSC 206  and GEOG 240 CMSC 206  provides programming skills in Python; GEOG 240  provides foundational knowledge of Geographic Information Systems (GIS). Not all program elective options transfer to all institutions. Please consult a data science program advisor or the transfer institution before selecting program elective courses. 

 

 

Program Outcomes


  • 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 and communicate findings of complex analyses in a concise way for a target audience using both graphics and statistical measures. 
  • Understand, evaluate, and apply ethical principles and practices in the data lifecycle. 

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