For applicants seeking admission in Spring 2025 and onward, the BS in Applied Data Analytics and Visualization is not currently accepting new students. We encourage you to explore the BA in Social Sciences, BS in Information Systems Management, or BS in Leadership and Management Studies, which include a variety of options and pathways to help you get where you want to go. If you have questions or concerns, please contact the Office of Admissions at 212-998-7100 or sps.admissions@nyu.edu.
BS in Applied Data Analytics and Visualization (STEM)
Overview
The BS in Applied Data Analytics and Visualization will prepare you to transform data into valued insight for a variety of decision makers. You will learn techniques to set-up systems to retrieve, aggregate, and process large data sets; separate big data sets into manageable and logical components; and eliminate “noise” by cleaning data. You also will learn different methods of data analysis and visualization, aided by statistical and graphics software.
Applied Skills
Gain broad-based skills in information systems, quantitative and qualitative analysis, and data visualization and be able apply that expertise to translate data into information.
Faculty Contact
Dr. Bri Newland, Assistant Dean, Division of Applied Undergraduate Studies
(212) 998-7201
dausdean@nyu.edu
Program Structure
Core Courses
Core courses provide an in-depth exploration of the liberal arts that expands your critical thinking and analytical skills, increases your knowledge, and develops your intellect.
Electives
Students select elective credits in consultation with their adviser.
Internships
Earn academic credit while gaining industry experience. Work with coaches at the Wasserman Center to learn how to land an internship that will let you put what you have learned in the classroom into action.
Capstone
Work in close consultation with a faculty advisor on a senior thesis or project in your field of study.
Core Requirements
The degree is a 128 credit program consisting 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).
Writing
The following courses may be required based on a writing placement assessment, and should be successfully completed within the first three semesters.
Critical Thinking
Students are required to take the following course.
Quantitative Reasoning
Students, in close consultation with their advisor, select Math 1 and Math II or one of the following other courses based on a math placement assessment.
Scientific Issues
Students select one of the following courses in consultation with their advisor.
Historical Perspectives
Students select one of the following courses in consultation with their advisor.
Global Perspectives
Students select one of the following courses in consultation with their advisor.
Literary and Artistic Expressions
Students select one of the following courses in consultation with their advisor.
Liberal Arts Electives
In addition to the core curriculum requirements, bachelor of science degree students select an additional 16 credits of liberal arts courses in consultation with their advisor.
Foundation: Quantitative Courses
Students are required to take all of the following courses.
Foundation: Information Systems Courses
Students are required to take all of the following courses.
Data Science and Visualization Courses
Students are required to take all of the following courses.
- ADAV1-UC1000 Applied Data Analytics I 4
- ADAV1-UC1001 Applied Data Analytics II 4
- ISMM1-UC0742 Business Intelligence 4
- ISMM1-UC0731 Introduction to Cloud Computing 4
- MKAN1-UC5100 Cultural and Legal Implications of Digital Technology 4
- ADAV1-UC1005 Data Visualization 4
- ADAV1-UC1010 Designing Data: Infographics 4
- ADAV1-UC1015 Visual Analytics 4
Electives in Applied Data Analytics and Visualization
In consultation with their advisor and based on their special areas of interest, students select an additional 16 units from the marketing, information technology, and digital media courses from McGhee's Bachelor of Science programs. Courses chosen may include Web Analytics, Marketing Analytics, Information Security Management, and Web Architecture.
Graduation Project
Students select one of the following courses.
Admissions Criteria
The NYU SPS Admissions team carefully weighs each component of your application during the admissions review process to evaluate your ability to benefit from and contribute to the dynamic learning environment and the challenging curriculum that the NYU School of Professional Studies offers.
CONTACT ADMISSIONS
The NYU SPS Admissions team is here to help you navigate the admissions process and ensure that all of your questions and/or concerns are addressed. Call or email to set up a Zoom or Skype appointment.
212-998-7100 • sps.admissions@nyu.edu
Financing Your Education
We know that financial planning for your education is of the utmost importance. We want to support you. Click the link below to learn about financial aid opportunities or download the financial aid guidelines document.