Associate in Science

Data Science & Analytics - Option

Program

The Associate of Science in Mathematics with an Option in Data Science & Analytics is designed to transform students into analytical thinkers capable of managing the entire data lifecycle—from acquiring structured and unstructured data to cleaning, analyzing, and modeling complex datasets. The program emphasizes the identification of patterns and relationships to facilitate data-driven decision-making across diverse fields. By applying both the statistical logic and the technical tools used in industry today, graduates are prepared for transfer to four-year institutions. 

For more information, contact faculty advisor, Claude Fortune, at (609) 343-5011 or cfortune@atlanticcape.edu or contact area coordinator, Michele Leacott, at (609) 343-5044 or mleacott@atlanticcape.edu

Upon completion of this program students will be able to:
  • Employ the data lifecycle to effectively collect, clean and prepare data from various sources for analysis, ensuring accuracy and integrity;
  • Synthesize datasets into visual formats that differentiate key patterns and facilitate data-driven decision-making through clear, impactful data visualizations;
  • Apply descriptive and inferential statistical techniques to summarize complex datasets and draw valid conclusions, utilizing hypothesis testing and probability distributions to inform data-driven decision-making;
  • Use mathematical tools and statistical software to analyze large datasets, identify significant relationships and implement statistical modeling and machine learning techniques to develop predictive models for real-world applications;
  • Evaluate the ethical use of data, emphasizing the importance of data integrity, privacy and security in modern organizations.

(DASC-FALL 2026)

General Education Courses

When a course is not specified, refer to the list of approved General Education courses.

Communication

Course #
Title
Credits
Sub-Total Credits
9

Mathematics-Science-Technology

Course #
Title
Credits
Sub-Total Credits
12

Social Science

Course #
Title
Credits
3
3
Sub-Total Credits
6

Humanities

Course #
Title
Credits
3
Sub-Total Credits
3

Program Electives

*Students should consider taking CISM125, CISM129, or CISM132 to meet the Technological Competency Graduation requirement.

Course #
Title
Credits
4
Sub-Total Credits
4

Technological Competency Graduation Requirement

(Is fulfilled with CISM125, CISM129, or CISM132, which may be taken as a Program Elective, testing or reviewed departmental portfolio.)

Total Credits
60
Recommended Sequence of Courses
Course #
Title
Credits
4
Sub-Total Credits
15
Course #
Title
Credits
3
Sub-Total Credits
14
Course #
Title
Credits
3
3
Sub-Total Credits
13