BS in Applied Data Analytics and Visualization (STEM)
 
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BS in Applied Data Analytics and Visualization (STEM)

Organizations, government agencies, and corporations around the globe now have access to seemingly limitless amounts of data. In demand are professionals who possess broad-based skills in information systems, quantitative and qualitative analysis, and data visualization and who can apply that expertise to translate data into intelligence.

The BS in Applied Data Analytics and Visualization will prepare you to transform data into valued insight for a variety of decision markers. 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.

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.

Curriculum Requirements Overview Credits
Core Curriculum 32-34
Liberal Arts Electives 16
Required Foundation Courses 32
Data Science and Visualization Courses 32
Electives in Data Analytics and Visualization
12
Graduation Project 4
Total Required Credits 128-130

 

Course Locations: Daytime classes are held at the NYU Midtown Center, evening and Saturday classes are held mainly in the Washington Square area, while others may be held at 7 East 12th Street, downtown at the Woolworth Building, and online.

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NYU School of Professional Studies faculty and staff members look forward to learning more about you, and we want you to learn more about us to ensure that your decisions regarding your educational experience are well informed. Our admissions staff is here to partner with you throughout the admissions process. Please do not hesitate to contact us.