Carnegie Mellon University

Engaging with Statistics & Data Sciences

The Department of Statistics & Data Science is a nexus of collaboration and innovation.

Our department thrives on partnerships with industry and community organizations, alumni, and internal stakeholders to help us build and shape the future of data-driven solutions.

For corporate and industry partners, we are excited to offer continuing/executive education programs, collaborative research opportunities, and access to our world-class faculty and students, empowering you to harness the power of data for your organization's success.

Alumni are integral members of our community, and we provide avenues for continued involvement through mentorship programs, networking events, and opportunities to contribute to the growth of our department.

Internally, we foster a vibrant and inclusive environment where faculty and students collaborate on cutting-edge research, innovative teaching initiatives, and impactful outreach efforts.

three people conversing in an office setting

Corporate Partners & Employers

We offer several opportunities for corporate and industry partners to collaborate with us and gain access to top-tier talent, cutting-edge research, and continuing education options. Our students are highly qualified and eager to excel in both internships and full-time positions. Partner with us to find the ideal candidates and further your team's expertise in managing data.

Alumni speaking at the Women in Data Science conference

Alumni Engagement

Stay connected with Statistics & Data Science by engaging with our vibrant alumni network. We are excited to offer programming for alumni both at CMU and in your region. Learn more about how to engage with other alumni and support current Stat & DS students.

A cohort from the sports analytics program

Summer Programs

We offer a variety of summer programs geared towards both high school and college students. These programs provide valuable learning experiences and opportunities for academic and professional growth in areas like data science, healthcare technology and sports analytics.