Google's support has been — and will continue to be — absolutely vital to our COVID-19 response
Google.org has donated $1 million to support CMU's COVID-19 forecasting project. The company is also providing a full-time pro bono team of 12 Google.org fellows, including software engineers, a program and product manager, a user experience (UX) researcher, and a UX designer to support CMU's Delphi Research Group for the next six months.
Partnerships
Engage With Experts and World-Class Students
Carnegie Mellon’s School of Computer Science leads the world in innovative thinking and game-changing collaborations that make life better.
Partnership opportunities offer both immediate and far-reaching results — from building visibility among students to gaining access to our experts and cutting-edge research. Contact us for help designing the collaboration that best fits your needs.
Partnership Benefits
- Gain access to world-renowned researchers.
- Sponsor research.
- Train employees.
- Build awareness.
- Recruit talent.
Partnership Opportunities
With nearly 200 industry partners working across hundreds of interest areas, the Partnerships Team can help you design the ideal collaboration for your organization. We've outlined some options below, and look forward to designing the right solution for you.
Download a print version of some of the partnership opportunities we offer. (PDF reader required.)
Investing in research at transformative levels
Endowed Professorships, Fellowships and Scholarships
Endowed professorships, as well as annual and endowed fellowships and scholarships, provide critical funding for exceptional people to explore pioneering ideas, pursue their teaching and research goals, and accelerate breakthroughs.Designing high-impact solutions
Sponsored Research
Choose among hundreds of areas of faculty expertise, such as machine learning, robotics, artificial intelligence and more.
Consortia
- CyLab Security and Privacy Institute
- IDeaS (Center for Informed Democracy and Social-Cybersecurity)
- Parallel Data Lab (PDL)
Consortium membership offers a range of benefits, from research to networking with peers.
Supporting trailblazers who think big, work hard and make the next great idea a reality
Focused Initiatives
- CS Academy (Computer Science Academy)
- ENAiBLE (AI in Retail)
- JPMorgan Chase AI Maker Space
- SubT (the DARPA Subterranean Challenge)
Capstone Projects
As a culminating experience, students create novel solutions to a wide range of specialized fields.
Executive Education
From bespoke training programs to online courses, our initiatives connect you with world leading computer science educators and researchers who will empower you to solve critical challenges.
Enriching students’ academic experience lays the groundwork for recruitment, when these expert problem-solvers join the workforce
Partners Can Support Classes
Clubs and Student Activities
- Robotics Club
- AI+ YES! Fund
- Hackathons
- Women at SCS
Seminars
Sponsor seminars that align with your interests.
Amazon Future Engineer is excited to support Carnegie Mellon's Computer Science Academy
Amazon has given $2 million to Carnegie Mellon's Computer Science Academy. The gift will help the initiative provide free CS curriculum to schools that serve students from underserved, underrepresented communities.
CMU will educate personnel from across the Army, comprising service and civilian employees, from technicians to senior leaders.
CMU has partnered with the U.S. Army to grow its data science and AI expertise. CMU welcomed students from the Army amid the cadre of others starting classes in fall 2020, expanding educational pathways for the Army to grow their expertise in data science and artificial intelligence.
Developing reliable self-driving cars requires pushing the envelope in computer science and artificial intelligence.
Argo AI has formed unique affiliations with CMU and Georgia Institute of Technology to work with three world-class faculty members. Simon Lucey, Deva Ramanan and James Hays are collaborating with Argo AI to push the limits in computer vision and machine learning
