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.

AI is already being used across healthcare operations, patient engagement, workforce planning, revenue cycle management, and clinical decision support. Leaders who understand AI are better equipped to identify opportunities, reduce risk, and guide implementation decisions.

This 7 AI Skills Healthcare Employers are Prioritizing guide shows you where the degree takes you next!

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Career Opportunities


Graduates can pursue roles such as:

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

Admissions Requirements


Applicants typically need:

  • Bachelor’s Degree, preferably in computer science, engineering, mathematics, or a related field. 
  • Strong academic performance (GPA typically 3.0+), with coursework in calculus, statistics, and Python programming. .
  • Applicants with a GPA below 3.0 may be considered for provisional admission based on professional accomplishments, letters of recommendation, and a strong personal statement.
  • Familiarity with data structures and algorithm analysis. 
  • Additional requirements may include transcripts, a resume, and a statement of purpose.

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