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M.S. in Data Analytics and Visualization Curriculum

Explore Data Analytics Course Descriptions and Degree Requirements

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Curriculum Overview

The 30-credit M.S. in Data Analytics equips students with the full spectrum of skills modern data professionals need, preparing graduates to turn complex data into decisions that drive real organizational impact. Students develop fluency in Structured Data Management, Analytics Programming, and Computational Math and Statistics, while mastering cloud-based distributed systems and the mathematical foundations in probability, statistics, and linear algebra that separate analysts who understand their models from those who simply run them.

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About The Coursework

Electives in Data Science, Data Product Design, Talent Analytics, Data-Driven Organizations, Information Architectures, and AI Product Studio, including LLM-powered tools, RAG-based knowledge retrieval, and agentic workflows, allow students to tailor the degree to their goals. A capstone project integrates these competencies into a portfolio-ready deliverable demonstrating end-to-end analytical capability. The program can be completed full-time in as little as 15 months or part-time at a pace that works for you.

How You'll Learn

At the Katz School, you learn the way real innovators work — identifying problems, then designing, building, testing, and improving solutions across a multi-semester project. In the Data Analytics program, that means working alongside faculty who are active researchers, applying predictive modeling, data visualization, and AI-augmented analytics to real organizational challenges. You graduate with not just technical proficiency, but the strategic and communication skills to make data drive decisions at any level of an organization.

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