Computer Science & Artificial Intelligence
Software, data systems, simulation, visualization, AI, and responsible computing.
Academic Division
Computing, Communication & Enterprise
Build the software, narratives, organizations, and responsible ventures that move knowledge into public life.
About the division
Inquiry anchored in disciplinary competence.
Research has limited impact when it cannot be computed, communicated, organized, or sustained. This division joins software and artificial intelligence with public scholarship, entrepreneurship, marketing, and digital commerce.
Students learn to create durable systems around ideas: data structures, research software, visualizations, publications, operating models, audience strategies, and ethical ventures. Applied projects function as live educational environments rather than disguised advertisements.
4Program clusters
Build + explainDual capability
Live projectsApplied environment
Areas of study
Programs and disciplines
Initial academic organization for curriculum development, faculty recruitment, and student pathways.
Communication & Public Scholarship
Writing, media, publishing, science communication, and institutional voice.
Business Innovation & Entrepreneurship
Venture design, finance, operations, product development, and organizational learning.
Digital Commerce & Marketing
E-commerce, audience research, marketing communication, platforms, and analytics.
Research & impact
Questions that connect the division to the wider institution.
- AI-assisted Socratic learning and research workflows
- Interactive visualization and hypothesis-generation tools
- Digital institutions, platforms, and hybrid social space
- Learning enterprises and applied project governance
- Open publishing and public research communication
Student experience
Learn through methods, environments, and outputs.
Develop
Create usable software, datasets, automations, and digital research instruments.
Communicate
Turn complex work into accurate public-facing narratives and media.
Operate
Learn how projects are funded, governed, measured, and sustained over time.
Faculty & expertise
Founding faculty, instructors, laboratory specialists, and collaborators.
Profiles will be published as appointments and affiliations are confirmed. Division pages are structured now so faculty expertise, courses, research, and student opportunities can grow without redesigning the site.
Next step
Make knowledge usable, legible, and sustainable.
Connect computing and communication to real institutional work.