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. Antonios Saravanos
(212) 992-8725
saravanos@nyu.edu

 

STEM Designation

The STEM (Science, Technology, Engineering, Math) designation is assigned to programs that have quantitative/technical focus and enable students to participate in a longer optional practical training post-graduation.

Achieve - Awarding Achievement, Ensuring Success

The NYU School of Professional Studies is proud to introduce the Achieve Scholarship, beginning in Fall 2022. Each year, 20 high-achieving applicants to bachelor's degree programs of the NYU SPS Division of Applied Undergraduate Studies (DAUS) will be awarded a $30,000 scholarship package in addition to other financial aid. Achieve Scholarship applicants must have completed their associate degree or the equivalent number of transferable credits prior to enrolling at NYU SPS, have a FAFSA on file for the upcoming academic year, and enroll full-time while at NYU SPS. Apply as soon as possible for priority consideration!

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.

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: Information Systems Courses

Students are required to take all of the following courses.

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.

APPLICATION DEADLINES

Visit the Admissions Deadlines page to view the application deadlines.

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.