M.S. in Data Analytics and Visualization Curriculum

Making the World Smarter, Safer and Healthier

Overview

YU’s flexible 30-credit master’s degree in data analytics and visualization prepares you to succeed in cutting-edge business analytics, BI, data analytics and data visualization careers. As part of the coursework, you'll complete an industry-oriented final project, and you'll be encouraged to gain hands-on experience by working in real companies through internships and independent study. You'll develop a work-ready portfolio of projects and deepen your understanding of the core principles, patterns and practices of data science and visualization.

The M.S. can be completed full time in just 15 months or part time at a pace that makes sense for you. Review degree requirements below and download course descriptions here.

Degree Requirements

To earn the M.S. in Data Analytics and Visualization, you must complete 21 credits of required foundational courses, including a capstone project as well as nine credits of elective courses, which may include an internship. Courses are 3 credits, unless otherwise noted.

Core Requirements (21 credits)

DAV 5000 Business Modeling and Data Analysis
DAV 5100 Structured Data Management
DAV 5200 Visual Design and Storytelling
DAV 5300 Computational Math and Statistics
DAV 5400 Analytics Programming
MAN 5580 Project Management
DAV 6500 Capstone

Electives (9 credits)

AIM 5010 AI Product Studio
DAV 6000 Talent Analytics
DAV 6050 Data-Driven Organizations
DAV 6100 Information Architectures
DAV 6150 Data Science
DAV 6200 Data Product Design
DAV 6300 Special Topics (1-3 credits)
DAV 6400 Internship (1-3 credits)
DAV 6450 Independent Study (1-3 credits)

Note: Recent special topics courses include Recommendation Systems, Automated Machine Learning, Cloud Computing and Experimental Optimization. Qualified Data Analytics and Visualization students often take electives in other graduate programs, including marketing and artificial intelligence. Electives offerings will vary each semester, so some choices will not be available for a particular cohort.