Vision

• Technical Rigor: Our students express their mastery of concepts through their quality and craft of what they build. The curriculum focuses on the mathematical, theoretical, applied, and systems-level foundations of computer science that remain durable across tools and decades.
• An AI-Conscious Pedagogy: We use AI deliberately as a learning aid, protecting the curricular experience from its de-learning effects. We utilize AI to support learning through code critique and verification. We teach the fundamentals of AI to support computer science theoretical and applied innovation.
• Embedded Ethics: We integrate Societal, Ethical, and Professional issues directly into technical coverage, preparing students to engage critically with the outcomes and impacts of what they build.
• Creativity and Building. We center students’ capacity to both design well and to make well—concept and craft. Students do things, not just analyze them.
• Safety Aware. Students design and build with the question of what breaks. Privacy, security, and safety are not isolated to a single course but a discipline of attention—applied across the curriculum, in theoretical and applied work alike—so students develop the habit of thinking about failure modes, adversarial conditions, and unintended consequences alongside intended function.
• Interdisciplinary Reach. Students render computer science expertise that is usable in complex problems beyond CS itself; the discipline meets the world in the company of other disciplines, preparing diverse leaders to solve complex global challenges.

Our Core Commitments

Our department anchors its culture, curriculum, and community around several foundational pillars:

1. We commit to educating the complete scientist. True technical leadership requires more than intellectual and algorithmic capability; it demands moral clarity, a commitment to civic responsibility, and a deep understanding of human impact.
2. We commit to breaking down traditional departmental silos. We actively encourage our students and faculty to cross-pollinate computing with the humanities, the social sciences, the sciences, international relations, law, and public policy, recognizing that the most critical modern challenges sit at these intersections.
3. We commit to building a diverse, equitable community. We treat varied backgrounds and perspectives not just as a cultural priority but as a technical prerequisite for building objective, fair, and unbiased technology.

How We Lead

• We don’t relegate ethics to a single seminar. Our students confront questions of data privacy, algorithmic bias, and digital equity directly inside systems, databases, and AI courses.
• Our degree pathways are structurally designed to accommodate dual majors, minors, and joint research ventures across the university’s premier research hubs.
• We actively direct departmental resources toward socially impactful projects and topic areas that serve the public good. We support technical solutions to societal challenges through securing programmable infrastructure, eliminating real-world vulnerabilities, and building verifiable, transparent AI, among others.
• We commit to not only teaching students but also teaching students how to learn.

Your Next Step

Whether you want to study here, collaborate with our faculty, or hire our graduates, connect with us and discover different ways to engage with our mission: