Lev Manovich / Cultural Analytics Lab
WHY OUR PROGRAM?
Data — its production, curation, analysis, and visualization — impacts every area of modern society. More and more of our everyday decisions are guided by computational processing of big data. Computers recommend what route should we take, what news should we read, whom we should follow on social networks, and what music we should listen to. Our program allows students to better understand how data operates in society and how it can be curated and presented.
WHAT YOU WILL STUDY
We offer three areas of study: data analysis, data visualization, and data studies. Across all of these classes, we move from fundamental concepts and methods to more advanced methods. We focus on analyzing real-world datasets and creating effective and engaging visualizations. Coursework will help students understand longer historical trends that drive the adoption of computers, networks, and data analysis in a society, and this will help them to anticipate future trends. Graduates will be able to work in the industry (data analysis, data and information visualization) or to pursue doctoral studies in a range of related disciplines.
A UNIQUE APPROACH
We combine data analysis and visualization — two practices closely aligned in practice but rarely taught together. We help students gain practical skills in working with data and the theoretical skills to anticipate the future use of data in society, and to understand the possibilities, implications, and limitations of data.
TAKE ADVANTAGE OF NYC
We are located in the middle of New York City (Fifth Avenue and 34th Street) so students can also learn from the rich cultural and intellectual offerings of New York City, and apply for internships and jobs in leading companies in many fields.
The M.S. Program in Data Analysis and Visualization is a field of study on the Department of Homeland Security (DHS) STEM Designated Degree Program List, and meets one of the eligibility criteria required for F-1 students to apply to the USCIS for a STEM OPT extension.
Photo credit, clockwise from top left: Rachel Ramirez (1, 3).