Data Management and Analytics

Program Overview

Data Management and Analytics (DATA) is a forward-thinking, interdisciplinary program that allows students to get an entry level job in the area of data management and analytics. The Data Management and Analytics program focuses on providing students with the skills to empower ethical data-informed decision-making in business contexts. The DATA degree consists of the theory, technology, and practical skills necessary for data collection, transmission, analysis, and utilization. DATA focuses on four broad areas:

Ethical data-informed decision-making in business contexts.
Effective communication of data insights to diverse stakeholders.
Essential skills in project management to navigate the analytics project lifecycle.
Hands-on experience in modern technologies that support data storage, data preparation, data analysis, and the reporting of data.

Content includes data literacy fundamentals; data preparation; project management for analytics; descriptive analysis; Structured Query Language (SQL); data privacy; data security; data ethics; data visualization; data storytelling; Python programming for analytics; relational databases; data engineering; business dashboards; machine learning; and predictive analytics. Students will learn the role of data in AI as well as how, when, and why Generative AI solutions can be used as a tool in analytics and what to look out for with GenAI results. The DATA program prepares students for today’s digital landscape by staying current with disruptive technologies and fostering a growth mindset along with learning essential technology skills.

Program Pages and Maps

Data Management and Analytics, AAS