SHAPE THE FUTURE OF
ARTIFICIAL INTELLIGENCE

University of Advancing Technology’s Artificial Intelligence (AI) degree explores the theory and practice of engineering tools that simulate thinking, patterning, and advanced decision behaviors by software systems. With inspiration derived from biology to design, UAT’s Artificial Intelligence program teaches students to build software systems that solve complex problems. Students will work with technologies including voice recognition, simulation agents, machine learning (ML), and the internet of things (IoT).

Students pursuing this specialized computer programming degree develop applications using evolutionary and genetic algorithms, cellular automata, artificial neural networks, agent-based models, and other artificial intelligence methodologies. UAT’s degree in AI covers the fundamentals of general and applied artificial intelligence including core programming languages and platforms used in computer science.

Advanced coursework encompasses applying principles of natural language processing, machine learning, behavior simulation and deep learning based on big data sets. Students prepare for future-oriented AI careers by applying computer science approaches and artificial intelligence concepts as they develop solutions to real-world projects within production studio settings. Graduates excel in architecture, autonomous systems, distributed systems, economics and market dynamics, machine intelligence, self-assembly, self-organization, and sociology.

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ARTIFICIAL INTELLIGENCE DEGREE OBJECTIVES

  • Demonstrate new and original data in deep learning by consuming big data with original algorithms.
  • Demonstrate software development skills using more than one programming language, development environment, platform and source control systems.
  • Describe, develop, analyze and integrate data structures, databases and database management systems.
  • Develop, analyze and integrate artificial intelligence applications and IoT systems.
  • Demonstrate skills to design and create natural language processing systems.
  • Demonstrate designing and creating machine learning systems using best practices and patterns.
Synchronic Learning: superior graduates, mentored education, flexible Syncflex learning.

WHY UAT?

UAT’s Synchronic Learning model provides an education framework that prepares superior graduates to become tomorrow’s innovators. This model embodies UAT’s methodologies, curricula and community dedicated to fostering an environment of innovation that promotes demonstrated mastery and job readiness.

How does UAT prepare superior graduates? Students are required to participate in projects that solve real problems. UAT requires students to innovate and create a working proof of concept that’s never been done before. Students complete internships, community projects and apprenticeship experiences to cultivate their ability to succeed in the workplace.

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