Data Science / AI / Robotics

The collaboration between these fields is generating world-changing technologies.

We’re making enormous inroads in the growing fields of AI and robotics, creating drones controlled with a simple gaze, making it easier for surgeons to perform delicate operations, developing algorithms that make financial investing more secure, and other such improvements.


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Our AI experts and roboticists are working in concert with our data scientists, who are discovering new ways to analyze, visualize, and use the 2.5 quintillion bytes of data the world generates each and every day in the form of GPS signals, shopping transactions, taxi rides, social media posts, online videos, and digital photos, among other sources. It’s a collaborative ecosystem with a single goal: to harness the collective power of data, machine learning techniques, and autonomous systems to address the issues facing the world.

Academic Programs

Computer science focuses on designing, building, and using the computers and systems that we interact with every day — from iPhones to the complex databases in banks and hospitals.
On Campus

Electrical Engineering and Computer Engineering are both extremely pertinent in today's high technology and global world, and this program gives students opportunities to garner knowledge from both disciplines.
On Campus

How has the decision to patent human genes affected intellectual property law, privacy issues, and therapeutic research in medicine? How did an international community transform a military research project into the internet we use today?
On Campus

Mechanical engineering builds the physical systems and devices that define modern society — everything from air conditioning to automobiles, robots to power plants, artificial limbs to escalators.
On Campus

A 30 credit, 10 course fully online master’s degree. Explore how our curriculum will provide you the background needed in Translational or Laboratory Sciences.
Online

Biomedical engineering, a multi-disciplinary field, is behind some of the most important medical breakthroughs today, and has significantly contributed to improved health care and quality of life.
On Campus

Computer engineering makes it possible for us to telecommute from home and check our e-mail on the go, and even reconstruct genomes and conceive software to make businesses more efficient.
On Campus

With a dynamically changing global world, our program trains our financial engineers to adapt theoretical and financial constructs into profitable and innovative opportunities.
On Campus

Students in this program learn fundamental theory, modeling methods, hardware components, interfacing requirements, simulation and programming tools, and practical applications of mechatronics and robotics.
On Campus

Ph.D. students in our Computer Science program can conduct groundbreaking research with the faculty of our interdisciplinary Center for Cyber Security.
On Campus

The Ph.D. in Electrical Engineering program is filled with students and faculty who prize the School of Engineering's emphasis on invention, innovation, and entrepreneurship through top-flight laboratories and a fierce dedication to advanced research.
On Campus

Our Ph.D. in Mechanical Engineering program offers a balanced curriculum that emphasizes the principles behind designs and approaches, and we make computational and research experience an integral component of your studies.
On Campus

Research Labs and Groups

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Agile Robotics and Perception Lab

ARPL performs fundamental and applied research in robot autonomy. The lab develops agile autonomous drones that can navigate on their own using only onboard sensors without relying on maps, GPS or motion capture systems.

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AI Now

With artificial intelligence (AI) rapidly moving into everyday life and being woven into our core social institutions like health care, employment, education, criminal justice, AI.Now is working towards a deeper understanding of its effects and exploring ways to harness AI’s power for good. The initiative’s core research areas include rights and liberties, labor and automation, bias and inclusion, and safety and critical infrastructure.

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Algorithms and Foundations Group

The Algorithms and Foundations Group at NYU's Tandon School of Engineering is composed of researchers interested in applying mathematical and theoretical tools to a variety of disciplines in computer science. We study problems in machine learning, geometry, computational biology, computational mathematics, and beyond.

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Applied Dynamics and Optimization Laboratory

The ADO Lab studies the modeling, design, and control of engineered and biological systems. The Lab considers systems comprising both robotic and biomechanical components, such as wearable robots.

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Automation and Intelligence for Civil Engineering

The AI4CE Lab works to advance fundamental automation and intelligence technologies, to enable their use in civil and mechanical engineering applications.

Chunara Lab

Chunara Lab

The overarching goal of our research is to develop the principles needed to incorporate unstructured, Internet and mobile data into a better understanding of population-level health. We primarily develop computational methods across data mining, natural language processing, and machine learning to generate features for spatio-temporal population-level public health models.

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Control and Network (CAN) Lab

The CAN Lab develops fundamental principles and tools for the stability analysis and control of nonlinear dynamical networks, with applications to information, mechanical, and biological systems.

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Control/Robotics Research Laboratory (CRRL)

CCRL conducts research projects on unmanned vehicles, autonomy and navigation, control systems, cyber-security, and machine learning.

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Dynamical Systems Laboratory

The Dynamical Systems Laboratory conducts fundamental research in the broad field of modeling and control of complex systems with specialized expertise in multiphysics modeling and marine applications of advanced/multifunctional materials. Activities span applied mathematics, design and fabrication of novel hardware, and advanced computation and experimentation.

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Machines in Motion

We try to understand the fundamental principles for robot locomotion and manipulation that will endow robots with the robustness and adaptability necessary to efficiently and autonomously act in an unknown and changing environment.

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Mechatronics Laboratory

The Mechatronics Lab is a synergistic integration of mechanical engineering, control theory, computer science, and electronics to manage complexity, uncertainty, and communication in engineered systems.

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Medical Robotics and Interactive Intelligent Technologies (MERIIT)

Led by S. Farokh Atashzar, the MERIIT Lab develops and implements artificial intelligence algorithms, smart wearable hardware, advanced control systems, and signal processing modules systems to augment human capabilities using multimodal robotic technologies. A particular focus of the lab is on interactive Neuro-Rehabilitation Robotic and Surgical Robotic systems. Activities range from smart hardware modules to intelligent software systems.

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NYU Tandon Future Labs

The NYU Tandon Future Labs are the first public-private partnership with New York City tasked with creating a sustainable incubation program focused on increasing the success rate of new ventures and generating positive economic impact.

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Online Political Ads Transparency Project

This project is focused on improving the transparency of online political advertising. Our goals are to build tools to collect and archive political advertising data. We will make publically available our data collection tools and raw data collected to enable analysis of online political advertising by anyone interested.


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The Governance Lab (The GovLab)

The Governance Lab studies the impact of technology on governing. This "think" and "do" tank partners with public institutions to design, implement and assess innovative ways of using technology to advance more effective and legitimate governing. Our goal is to strengthen the ability of public institutions — including but not limited to governments — and people to work more transparently and collaboratively to make better decisions, solve public problems, and advance social justice.

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Visualization and Data Analytics ViDA Center

The Visualization and Data Analytics Research Center at NYU consists of computer scientists who work closely with domain experts to apply the latest advances in computing to problems of critical societal importance, and simultaneously generate hypotheses and methods that new data sources and data types demand.