Go to nashuacc.edu/programs for even more details about this and other NCC programs and certificates.
The Data Analytics Degree prepares students to collect, organize, analyze, interpret, and present data, equipping them with the skills to generate actionable insights and support data-driven decision-making. Students learn to work with large and complex datasets and apply traditional and AI-powered analytical tools, programming, SQL, and business automation to solve real-world business and industry problems. The program combines a strong theoretical foundation with hands-on, application-based learning, ensuring graduates develop both the knowledge and practical skills required for careers in analytics, business intelligence, and AI-assisted decision-making as well as preparation for further study in these fields. Within the data analytics degree students select from two pathways.
| Within the data analytics degree students select from two pathways depending on their goals and interest: Data Science and AI and Applied Analytics and AI. |
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Data Science and AI Pathway This pathway provides a solid foundation in mathematics and computing. Students complete additional coursework in computer science and mathematics. This pathway is recommended for students interested in advanced study in data analytics and related fields such as statistics, machine learning, artificial intelligence, and data science at the baccalaureate level and beyond. |
Applied Analytics and AI Pathway This pathway focuses on applying analytics and AI tools to business problems. Students take additional courses in accounting, marketing, and business, developing the skills to support data-informed decision-making in organizational contexts. It prepares graduates for entry-level roles that utilize analytics and AI while providing a solid foundation for continued study in business analytics or applied AI. |
Upon the completion of the degree, graduates will be able to:
- Differentiate structured, unstructured, and other data types, including their subtypes, origins, and storage formats.
- Use spreadsheet tools, SQL, programming environments, and AI copilots to automate data tasks, clean, and transform datasets, and develop reproducible workflows.
- Apply appropriate analytical methods to interpret data, evaluate patterns and trends, and support informed decision-making in diverse contexts.
- Create and evaluate data presentations using visual, textual, and accessible formats to communicate insights clearly, ethically, and inclusively
- Build, interpret, and assess AI-driven models for classification, forecasting, optimization, and natural language processing, ensuring accuracy, reliability, and responsible use.
- Integrate data from multiple sources—using SQL, APIs, and AI-supported tools—to support analytic processes.
- Assess ethical issues in data analytics, including bias, transparency, accountability, and the role of human oversight in AI-assisted analysis.
In addition, the graduate will be able to demonstrate competency in the general education outcomes.
Technical Standards: Please refer to Technical Standards for details regarding this program.
Estimated Cost of Program (Tuition Only)
Data Science and AI Pathway
This pathway provides a solid foundation in mathematics and computing. Students complete additional coursework in computer science and mathematics. This pathway is recommended for students interested in advanced study in data analytics and related fields such as statistics, machine learning, artificial intelligence, and data science at the baccalaureate level and beyond.
Applied Analytics and AI Pathway
This pathway focuses on applying analytics and AI tools to business problems. Students take additional courses in accounting, marketing, and business, developing the skills to support data-informed decision-making in organizational contexts. It prepares graduates for entry-level roles that utilize analytics and AI while providing a solid foundation for continued study in business analytics or applied AI.