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Nov 21, 2024
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Montgomery College 2023-2024 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.
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General Education Course Selections
Click here to view the Foundation/Distribution Courses for selection to fulfill the General Education course requirements.
Suggested Course Sequence
Students should complete the required English and Math foundation courses within the first 24 credit hours. A suggested course sequence for full-time students follows. All students should review the Program Advising Guide and consult an advisor.
Program Outline / Degree Requirements
General Education Requirements
General Education Electives
Program Outcomes
Upon completion of this program, a student will be able to:
- 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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Return to: Alphabetical List of Curricula
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