Computer Science and AI
Machine learning, data systems, product engineering, model evaluation, and responsible deployment.
Acllas College blends rigorous academics, hands-on research, and ethical artificial intelligence so students graduate ready to solve real problems in science, business, health, education, and public service.
Choose a field, build a portfolio, and connect your major to AI literacy, entrepreneurship, and community impact.
Machine learning, data systems, product engineering, model evaluation, and responsible deployment.
Finance, operations, marketing intelligence, decision science, and AI-supported strategy.
Digital health, patient data ethics, care design, public health analytics, and clinical simulation.
Autonomous systems, sensors, embedded computing, design labs, and field testing.
Venture studios, market research, AI product validation, pitching, and startup finance.
Human behavior, cognitive science, educational technology, and AI-supported student success.
Acllas combines college services with AI-enabled tools that help students plan, study, collaborate, and prepare for careers.
Helps students compare programs, plan courses, track degree progress, and prepare questions before meeting a human advisor.
Provides study prompts, revision checklists, practice quizzes, and research guidance aligned with course expectations.
Turns class projects, lab work, and service activities into polished case studies for internships and graduate applications.
Supports resume review, interview practice, employer matching, internship tracking, and career coaching appointments.
Connects students with faculty labs, datasets, AI tools, mentorship circles, and community challenge projects.
Centralizes tutoring, wellness appointments, financial aid reminders, disability services, and campus service requests.
Students learn how to use AI tools critically, build useful systems, protect privacy, reduce bias, and explain technical choices to the communities they serve.
Join the AI Scholars CohortShort practical modules cover prompting, data reasoning, automation, verification, and ethical use.
Teams work with faculty and partners on agriculture, health, education, climate, and civic technology projects.
Students learn model risk, privacy, accessibility, documentation, and policy through real review boards.
Every scholar graduates with case studies, code, presentations, and measurable community outcomes.
From innovation studios to quiet study courts, Acllas is designed for students who want serious academics and a full college experience.
Open labs for prototyping, data visualization, media production, startup work, and student-led research.
Each student has a faculty mentor, a career advisor, and a peer guide from the first semester.
AI for Good, Debate Union, Health Tech Society, Robotics Club, Creative Media Lab, and community clinics.
The admissions process looks for curiosity, discipline, collaboration, and readiness to learn through projects.
Share transcripts, personal statement, recommendation, and your preferred academic school.
Meet an advisor to discuss your goals, interests, and how you approach problem solving.
Optional applicants submit a short project idea for the AI Initiative scholarship track.
Tour the campus, meet faculty, and see student AI projects in the innovation studios.