MS in Applied Artificial Intelligence

The Master of Science in Artificial Intelligence is an interdisciplinary graduate program designed to equip students with both the theoretical foundations and practical skills necessary to design, implement, and manage AI-driven systems across diverse industries.

Move your career forward without putting your life on hold.

Don’t just use AI, shape the new era of tech with an MSAI degree from Aurnova University

The M.S. in Applied AI is for professionals who want to put artificial intelligence to work in the real world. Practical, applied coursework spans machine learning, data, and responsible deployment — created for people who need to understand, build with, and guide AI initiatives inside their own organizations. The focus is application and judgment, not abstract theory.

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Program Objectives

Design and deploy AI systems for real-world applications; Analyze and interpret complex data using advanced machine learning techniques; Evaluate ethical and policy considerations in AI development; Collaborate across disciplines to solve industry-specific challenges using AI.

Students will:


  • Design and deploy AI systems for real-world applications.
  • Analyze and interpret complex data using advanced machine learning techniques.
  • Evaluate ethical and policy considerations in AI development.
  • Collaborate across disciplines to solve industry-specific challenges using AI.

Curriculum Overview

Core Courses
27 credit hours covering AI foundations, machine learning, deep learning, NLP, ethics, big data, Python programming, project management, and a Capstone Project.

Specialization
Students complete 3 courses (9 credit hours) in one track: Healthcare AI, Business AI, and Cybersecurity AI

Capstone
The Capstone Project is the culminating experience of the MSAI program. Students apply AI techniques to address a real-world challenge, delivering actionable and innovative solutions.

Career Opportunities

Graduates can pursue roles such as:

  • AI Engineer
  • Machine Learning Specialist
  • Data Scientist
  • AI Solutions Architect
  • Business Intelligence Analyst
  • Cybersecurity AI Specialist

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