Department Website
Program Description
With the proliferation of highly sophisticated software applications and the staggering amounts of information available on the Internet, organizations, government agencies, and corporations around the globe have access to seemingly limitless amounts of data. To take advantage of this plethora of new intelligence, these entities must hire professionals possessing broad-based skills in information systems, quantitative and qualitative analytical skills, and mastery of data visualization software to uncover the relevant and critical insights that will position them for success.
The Bachelor of Science in Applied Data Analytics and Visualization imparts this knowledge, preparing students to aggregate large data sets and transform them—through analysis and visualization—into critical information required by decision-makers in industries as varying as healthcare, education, business, and science, among others. 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.
Admissions
New York University's Office of Undergraduate Admissions supports the application process for all undergraduate programs at NYU. For additional information about undergraduate admissions, including application requirements, see How to Apply.
Program Requirements
This program requires the completion of 128 credits, comprised 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).
Course List
Course |
Title |
Credits |
| 8-10 |
| Introduction to Creative and Expository Writing | |
| Writing Workshop I | |
| Writing Workshop II | |
| |
HUMN1-UC 6401 | Critical Thinking | 4 |
| 4 |
| Math I and Math II | |
| Mathematical Reasoning | |
| Precalculus | |
| Calculus W/Applications to Business & Economics | |
| 4 |
| Human Biology | |
| Environmental Sustainability | |
SCNC1-UC 3207 | | |
SCNC1-UC 3215 | | |
| 4 |
| Renaissance to Revolutn | |
| The American Experience | |
| Classical & Medieval World | |
| Contemporary World | |
| 4 |
| World Cultures: Africa | |
| World Cultures: Middle East | |
| World Cultures: Asia | |
| World Cultures: Latin America & The Caribbean | |
| 4 |
| History of Music | |
| Visual Expressions in Society | |
| Contemporary Global Literature | |
LITR1-UC 6209 | | |
| 16 |
| |
MATH1-UC 1172 | Statistical Methods | 4 |
MATH1-UC 1171 | Precalculus | 4 |
MATH1-UC 1174 | Calculus W/Applications to Business & Economics | 4 |
MATH1-UC 1180 | Linear algebra | 4 |
| |
ISMM1-UC 746 | Fundamentals of Computing | 4 |
ISMM1-UC 702 | Database Design | 4 |
ISMM1-UC 752 | Systems Analysis | 4 |
| |
ADAV1-UC 1000 | Applied Data Analytics I | 4 |
ADAV1-UC 1001 | Applied Data Analytics II | 4 |
ISMM1-UC 742 | Business Intelligence | 4 |
ISMM1-UC 731 | Introduction to Cloud Computing | 4 |
MKAN1-UC 5100 | Cultural and Legal Implications of Digital Technology | 4 |
ADAV1-UC 1005 | Data Visualization | 4 |
ADAV1-UC 1010 | Designing Data: Infographics | 4 |
ADAV1-UC 1015 | Visual Analytics | 4 |
| 16 |
| Spc Tpcs in Applied Data Analytics and Visualization: | |
| 4 |
| Senior Project: Seminar | |
| Senior Project: Internship | |
| Independent Study | |
Total Credits | 128 |
Learning Outcomes
Upon successful completion of the program, graduates will:
- Setup systems to retrieve, aggregate, and process large data sets.
- Employ techniques/tools to separate big data into manageable and logical components.
- Eliminate “noise” by cleaning data.
- Perform data analysis with the goal of extracting useful information
- Provide a clear representation of data using visualization techniques.
- Use graphics software to tell data stories.
- Design with form and function to communicate information.
- Apply data to decision-making and creative problem solving.
Policies
NYU Policies
University-wide policies can be found on the New York University Policy pages.
School of Professional Studies Policies
Additional academic policies can be found on the School of Professional Studies academic policy page.