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Data Analytics
AAS = Associate of Applied Science | 2 years

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Data Analytics AAS = Associate of Applied Science | 2 years
The Associate of Applied Science (AAS) in Data Analytics that will create a pipeline of highly skilled Data Analytics technicians to meet current and future employment needs in the College’s service area. The AAS Program in Data Analytics will immediately immerse students in real-world data and case studies and will integrate communication, collaboration, critical thinking, and employability skills into data analytics content throughout the program, while also providing a dual-credit path for high school students.

This career-focused program provides hands-on training in collecting, organizing, analyzing, and interpreting data to support decision-making across business, healthcare, government, and technology industries.

Students gain practical experience in data visualization, spreadsheet modeling, database management, statistical analysis, and introductory programming. Coursework emphasizes real-world applications of data analytics tools and techniques, including trend analysis, reporting, and data-driven problem solving. Students also develop critical thinking, communication, and technical skills needed to turn complex data into actionable insights.


Graduates of the Associate of Applied Science in Data Analytics are prepared for entry-level roles such as data analyst assistant, business intelligence technician, reporting specialist, and operations analyst. With experienced instructors, affordable tuition, and a strong focus on workforce readiness, UA Northark equips students with the skills needed to succeed in today’s data-driven economy and rapidly growing analytics field.



Offered On Campus
Not Offered Online

Courses You Will Take

Transfer or Stackable Options

This degree is designed to get students into a career upon graduation.
Career & Wage Info

Learning Outcomes

  • Demonstrate the ability to manage and manipulate big data from both internal and external systems for inclusion in analysis in reasoning.
  • Work collaboratively with team members from multiple departments in assembling, analyzing, interpreting, and reporting data findings that are helpful in decision making.
  • Develop clearly written reports that incorporate effective visualizations in support of communicating results of statistical analyses.
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