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AI, Machine Learning, and Data-Driven Decisions

How can we generate, collect, and curate unprecedented volumes of data to make sound decisions, train machines, and decipher broader meaning in the output from artificial intelligence?
A student works with wires and computer software

Staying at the forefront of the rapidly evolving fields of data-driven decision-making and artificial intelligence is one of the most exciting challenges of our time. Achieving general artificial intelligence that rivals human intelligence in problem-solving, reasoning, perception, and energy efficiency will require advanced hardware to gather and process vast amounts of data. We are pushing the frontiers in all these areas through active cross-campus collaborations, including partnerships with Weill Cornell Medicine and Cornell Tech in New York City.

  • 100

    Number of Schmidt AI in Science postdoc fellowships Cornell will grant before 2029.

  • 6

    Autonomous cars, including Cornell Engineering’s, that successfully completed the DARPA Urban Challenge.

  • 6,884,613

    Hours of computing on Red Cloud – Cornell’s on-campus research cloud service.

  • 4,500

    Square footage of the Cornell Computer Systems Laboratory housed in Rhodes and Gates halls.

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  • Minor
  • B.S.
  • M.Eng.On Campus
  • M.Eng.Distance Learning
  • M.S.
  • Ph.D.
  • Civil and Environmental Engineering

    Designs and builds infrastructure while solving environmental issues. Ideal for those passionate about sustainability, urban planning, and creating resilient communities.

  • Electrical and Computer Engineering

    Focuses on developing electrical systems, from circuits to computers. Great for those interested in hardware, software, and advancing technology.

  • Computer Science

    Studies computing systems, software, and algorithms. Great for those excited by innovation in technology, problem-solving, and advancing digital solutions.

  • Operations Research and Information Engineering

    Optimizes complex systems using data and mathematical models. Ideal for those interested in logistics, decision-making, and improving processes.

  • Mechanical Engineering

    Involves the design and analysis of machines, engines, and systems. Perfect for those fascinated by motion, energy, and innovative mechanical solutions.

  • Aerospace Engineering

    Involves designing and testing aircraft and spacecraft. It’s ideal for those excited by flight, space exploration, and advancing technologies in propulsion and aerodynamics.

  • Chemical Engineering

    Focuses on transforming raw materials into valuable products through chemical processes. Great for those interested in industries like pharmaceuticals, energy, and manufacturing.

  • Biomedical Engineering

    Combines engineering with medical sciences to improve healthcare. Ideal for those driven to innovate in medical devices, diagnostics, and treatment technologies.

  • Systems Engineering

    Focuses on designing and managing complex systems. Ideal for those interested in coordinating processes to create efficient, scalable solutions for global challenges.