Data Analytics: Data Science and AI Pathway

The Data Science 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 built for students who want a more technical, STEM focused experience and has enhanced coursework in mathematics and computer science.

This pathway offers a hands-on introduction to the fast-growing world of artificial intelligence, data science, and  analytics. Students learn how to work with real datasets, build AI models, and use modern tools to clean, organize, and analyze data. Courses explore data mining, SQL, machine learning, natural language processing, and AI driven automation—skills that employers across every industry are looking for.

What You Will Learn

•      Build and test AI and machine learning models
•      Clean and prepare data using SQL and data wrangling techniques
•      Use statistical and business analytics methods to interpret and predict outcomes
•      Create scalable, repeatable workflows with programming and automation
•      Present insights clearly through data visualization and storytelling
•      Explore 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 data science, analytics, computer science, mathematics, or statistics. It also prepares graduates for technical roles in analytics and AI.

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

Data Science 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