With the proliferation of highly sophisticated software applications and the staggering amounts of information available on the Internet, organizations, government agencies, and corporations around the globe have access to seemingly limitless amounts of data. To take advantage of this plethora of new intelligence, these entities must hire professionals possessing broad-based skills in information systems, quantitative and qualitative analytical skills, and mastery of data visualization software to uncover the relevant and critical insights that will position them for success.
The Bachelor of Science in Applied Data Analytics and Visualization imparts this knowledge, preparing students to aggregate large data sets and transform them—through analysis and visualization—into critical information required by decision-makers in industries as varying as healthcare, education, business, and science, among others. Graduates of this program will be prepared to pursue a broad array of employment opportunities in this growing and evolving field, including those within corporations, service industries, government agencies, political organizations, consulting firms, nonprofit organizations, marketing and advertising agencies, and media companies.
Admissions Paused
Admission to this program is currently paused to undertake a comprehensive overhaul while continuing to support enrolled students to complete their programs of study. Questions? Contact Admissions at 212-998-7100 or sps.admissions@nyu.edu.
Program Requirements
This program requires the completion of 128 credits, comprised of a required set of core courses (32 credits), liberal arts electives (16 credits), required foundation courses (32 credits), data science and visualization courses (32 credits), data science and visualization electives (12 credits), and a graduation project (4 credits).
Course List
Course
Title
Credits
Writing
The following courses may be required based on a writing placement assessment, and should be successfully completed within the first three semesters:
Students, in close consultation with their adviser, select Math 1 and Math II or one of the following other courses based on a math placement assessment: