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.
BS in Applied Data Analytics and Visualization (STEM)
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.
Dr. Antonios Saravanos
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.
Students select elective credits in consultation with their adviser.
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.
Work in close consultation with a faculty advisor on a senior thesis or project in your field of study.
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).
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.
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.
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
Early Decision: July 1
Final: August 1
Early Decision: November 1,
Final: January 1
International Application Deadlines
Early Decision: February 1
Final: April 15
Early Decision: August 1
Final: October 1
Two Letters of Recommendation (1 required)
Official transcripts from all colleges attended
Standardized Tests (If required by Admissions team)
Application Fee $0
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.