Data Analytics: Applied Analytics and AI Pathway

The Applied Analytics and AI Pathway is one of two options within Nashua Community College’s Data Analytics degree program. While both pathways share a strong foundation in core data skills, this option is designed for students who want to apply analytics and AI to real-world problems across a wide range of industries—without requiring advanced study in mathematics or computer science.

This pathway provides a hands-on introduction to the rapidly growing fields of AI and applied analytics. Students learn to work with real datasets, use AI tools to solve practical challenges, and apply analytical methods to support decision-making in organizational settings. Coursework covers data mining, SQL, business analytics, AI-driven automation, accounting, and marketing—skills that employers in business, healthcare, government, manufacturing, and nonprofit sectors actively seek.

What You Will Learn

• Apply analytics and AI tools to real-world problems across industries
• Clean and prepare data using SQL and data wrangling techniques
• Use statistical and applied analytics methods to interpret and predict outcomes
• Automate workflows and improve processes with AI tools
• Present insights clearly through data visualization and storytelling
• Understand ethical issues in AI, including fairness, bias, and transparency

This pathway is an excellent choice for students planning to transfer into bachelor’s programs in applied analytics, business analytics, or related fields. It also prepares graduates for entry-level roles that combine analytics and AI with practical workplace responsibilities.

Flexible Learning

This degree can be completed online, on-campus, or through a combination of both formats.

Transfer Pathways

Nashua Community College currently maintains transfer agreements with Northeastern University and the University of New Hampshire, making it easy to continue your studies after completing the program.

Credit for Prior Learning

Up to 12 credits of prior learning credit can be awarded to students who have completed a Google Data Analytics Certificate upon entering the degree program.

Note: Data Analytics webpages feature AI generated images

Applied Analytics and AI Pathway

FIRST YEAR – FALL SEMESTER

FIRST YEAR – SPRING SEMESTER

SECOND YEAR – FALL SEMESTER

SECOND YEAR – SPRING SEMESTER

Upon the completion of the degree in Data Analytics, graduates will be able to:

1.  Differentiate structured, unstructured, and other data types, including their subtypes, origins, and storage formats.
2.  Use spreadsheet tools, SQL, programming environments, and AI copilots to automate data tasks, clean, and transform datasets, and develop reproducible workflows.
3.  Apply appropriate analytical methods to interpret data, evaluate patterns and trends, and support informed decision-making in diverse contexts.
4.  Create and evaluate data presentations using visual, textual, and accessible formats to communicate insights clearly, ethically, and inclusively.
5.  Build, interpret, and assess AI-driven models for classification, forecasting, optimization, and natural language processing, ensuring accuracy, reliability, and responsible use.
6.  Integrate data from multiple sources—using SQL, APIs, and AI-supported tools—to support analytic processes.
7.  Assess ethical issues in data analytics, including bias, transparency, accountability, and the role of human oversight in AI-assisted analysis

In addition, the student will demonstrate competency in the Nashua Community College general education requirements