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.

FLEXIBILITY FOR SPRING 2021

Study in New York City OR if you are unable to attend on-site in NYC for spring, you can start this degree remotely and join us on campus in Fall 2021.
NOTE: Certain restrictions and requirements may apply for international students.

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 12 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.

Admissions Criteria

Applications will be reviewed for evidence of:

  • Academic preparedness suggestive of success at the baccalaureate level
  • Rationale for desire to pursue selected academic subject of study
  • Personal attributes that predict readiness for advanced college-level work (e.g., motivation to learn, time management, personal responsibility, maturity)
  • Self-reflection on work or life experiences that shape one’s educational and career goals
  • Leadership skill or potential demonstrated through community service, volunteer positions or other activities

Associates degree or equivalent of 45 transferable college credits required

Recommended minimum 3.3 (B+) GPA

Domestic Application Deadlines

Fall Semester

Early Decision:   July 1

Final: August 1

 

Spring Semester

Early Decision:   November 1,

Final: January 1

 

International Application Deadlines

Fall Semester

Early Decision:   February 1

Final: April 15

 

Spring Semester

Early Decision:   August 1

Final: October 1

 

Required Documents

Personal Statement

Resume

Two Letters of Recommendation (1 required)

Official transcripts from all colleges attended

Standardized Tests (If required by Admissions team)

 

Fees

Application Fee $0

International Students

TOEFL scores are required for applicants who did not complete an undergraduate degree in the United States or in a country where the only primary language is not English.  Successful candidates achieve a minimum score of 100 on the Internet-based test.

For the IELTS, a minimum overall band score of at least 7 is recommended.

NYUSPS does not prohibit applicants with lower TOEFL/IELTS scores from applying for admission since many factors influence the admissions decision. 

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.