🎓 Now Enrolling — Spring 2026

Shape the Future with
AI & Data Science

University of America's School of Technology & AI offers cutting-edge BSc and MSc programs in Data Science, AI Engineering, and Artificial Intelligence — with project-first education and AI-powered lecture delivery.

Apply Now — $50 Fee Explore Programs
3Departments
6Degree Programs
80+Courses
50%Grade Weight: Projects
Our Schools
Three World-Class Departments
Each department is built around industry-relevant skills, research-driven faculty, and hands-on project work that mirrors real-world challenges.
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Department of Data Science

Master the science of extracting insights from complex data. From statistical modeling to production pipelines.

BSc Data Science MSc Data Science
  • Machine Learning & Statistical Modeling
  • Big Data Engineering & Pipelines
  • Data Visualization & Business Intelligence
  • Natural Language Processing
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Department of AI Engineering

Build and deploy intelligent systems at scale. From MLOps to distributed AI infrastructure and real-time inference.

BSc AI Engineering MSc AI Engineering
  • MLOps & Model Deployment
  • Distributed Systems for AI
  • Real-time Inference Pipelines
  • AI System Design & Architecture
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Department of Artificial Intelligence

Explore the theory and practice of intelligence itself. From deep learning research to reinforcement learning and AGI foundations.

BSc Artificial Intelligence MSc Artificial Intelligence
  • Deep Learning & Neural Networks
  • Reinforcement Learning
  • Computer Vision & Generative AI
  • AI Ethics & Safety Research
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Degree Programs
BSc & MSc Tracks
Choose the program that matches your goals — a four-year undergraduate foundation or a two-year advanced research track.

Bachelor of Science (BSc)

Undergraduate
Duration: 4 Years (8 Semesters) Credits: 120+ Entry: HS Diploma or Grade 9 Exceptional

The BSc is designed for students entering with a high school diploma or demonstrated exceptional aptitude (Grade 9+). It provides a rigorous foundation in mathematics, programming, and domain-specific AI/Data Science skills, culminating in a major capstone project.

Year 1 — Foundations
  • Introduction to the Field
  • Python / Programming
  • Calculus & Linear Algebra
  • Statistics Fundamentals
Year 2 — Core Skills
  • Machine Learning Basics
  • Database Systems
  • Data Structures & Algorithms
  • Domain-Specific Tooling
Year 3 — Advanced Topics
  • Deep Learning
  • NLP / Computer Vision
  • Cloud & Big Data
  • Research Methods
Year 4 — Capstone
  • Specialization Electives
  • Capstone Project I & II
  • Industry Practicum
  • Ethics & Professional Practice

Master of Science (MSc)

Graduate
Duration: 2 Years (4 Semesters) Credits: 60+ Entry: BSc in relevant field

The MSc is an advanced research and practice program for professionals and BSc graduates. It emphasizes original research, advanced technical depth, and a significant thesis or industry project that contributes new knowledge to the field.

Semester 1 — Advanced Core
  • Advanced ML / Statistical Learning
  • Research Methods & Literature
  • Graduate Seminar Series
  • Domain Deep Dive I
Semester 2 — Specialization
  • Advanced Systems & Scaling
  • Domain Deep Dive II
  • Thesis Proposal Development
  • Elective: Industry Track
Semester 3 — Research
  • Thesis Research I
  • Advanced Electives
  • Industry Collaboration Project
  • Publication Workshop
Semester 4 — Defense
  • Thesis Research II
  • Thesis Writing & Submission
  • Oral Defense
  • Final Industry Presentation
Lecture Delivery
AI-Powered Lecture System
Every course features rich, structured lectures — ready for AI video generation via tools like Synthesia, HeyGen, and ElevenLabs.
Data Science

DS101: Introduction to Data Science

What is data science? The data lifecycle, tools overview, and your first exploratory analysis in Python.

Dept: Data Science Level: BSc Year 1 Duration: ~45 min
AI Engineering

AIE101: Foundations of AI Engineering

The AI engineering landscape, from model training pipelines to serving infrastructure and reliability at scale.

Dept: AI Engineering Level: BSc Year 1 Duration: ~50 min
Artificial Intelligence

AI101: Principles of Artificial Intelligence

The history, philosophy, and core paradigms of AI. From symbolic reasoning to modern deep learning foundations.

Dept: Artificial Intelligence Level: BSc Year 1 Duration: ~48 min
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AI-Generated Video Lectures

Each lecture page includes a complete script, structured slides, and a narration guide — ready to be converted into professional AI avatar videos using the tools below. This makes it possible to generate an entire video curriculum without filming.

Synthesia HeyGen ElevenLabs D-ID Runway ML Pictory
Assessment Philosophy
Project-First Grading
We believe real-world performance matters more than test performance. Projects form the cornerstone of every student's grade.
50%

📁 Projects

Real-world applied projects completed individually and in teams. Multiple projects per course, graded on methodology, code quality, and outcomes. Cumulative weight across all assignments.

20%

📝 Midterm Exam

Taken at the midpoint of each semester. Combines theoretical questions, short-answer problems, and one applied mini-problem. Closed-book with reference sheet allowed.

30%

🎯 Final Exam

Comprehensive exam covering all course material. Includes conceptual questions, applied problems, and a capstone problem that integrates multiple topics from the course.

Grade Composition at a Glance

Projects — 50%
Midterm — 20%
Final Exam — 30%
How to Join
Admissions & Registration
We welcome driven students from diverse backgrounds. Apply online in minutes with a one-time $50 application fee.

BSc Admission Requirements

We accept students who have completed high school OR who demonstrate exceptional capability at the Grade 9 level or above.

  • 🎓
    High School Diploma
    Official transcripts from an accredited institution. Minimum GPA 2.5/4.0 or equivalent.
  • Exceptional Capability (Grade 9+)
    Students who demonstrate outstanding aptitude in mathematics or computer science can apply with an academic portfolio showing advanced capability, regardless of grade level.
  • 📄
    Personal Statement
    500 words explaining your interest in AI/Data Science and your goals.
  • 💳
    $50 Application Fee
    Non-refundable fee grants access to all course materials immediately upon acceptance.

MSc Admission Requirements

Graduate applicants must hold a BSc in a relevant field and show research potential.

  • 📊
    BSc Degree
    Bachelor's in Data Science, AI, Computer Science, Mathematics, Statistics, or related field.
  • ✉️
    Letters of Recommendation
    Two academic or professional references who can speak to your technical abilities.
  • 📝
    Research Statement
    Describe your research interests and what you hope to contribute to the field.

Application & Registration

One simple fee. Instant access.

$50

Pay the application fee and you'll immediately unlock access to your full course library, lecture materials, projects, and student portal upon acceptance.

  • Full course lecture access (all semesters)
  • All project briefs and datasets
  • Midterm & final exam bank
  • Student learning portal
  • Progress tracking dashboard
  • Certificate of completion per course
  • Department community access
Start Your Application

Secure payment · Instant access after acceptance

Why UA
Built for the AI Era
Everything about University of America is designed for the next generation of AI and data professionals.
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AI-Generated Content

Every lecture is scripted, structured, and optimized for AI avatar video generation. Course content is continuously refreshed with the latest developments in AI and data science.

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Project-First Learning

50% of your grade comes from real-world projects. You'll build actual systems, analyze real datasets, and present findings — just like a professional data scientist or AI engineer.

Flexible Entry

We don't gate exceptional talent. If you're in Grade 9 and can demonstrate mastery, you can apply. Talent and drive are the only real prerequisites.

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100% Online

All course materials, lectures, projects, and assessments are delivered fully online. Learn on your schedule, wherever you are in the world.

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Industry Aligned

Curricula are designed around real industry needs, with input from practitioners in data science, machine learning engineering, and AI research roles at leading organizations.

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Recognized Credentials

Earn a verifiable BSc or MSc degree. Each completed course comes with a digital certificate. Build your portfolio from your very first semester.