CO

Bachelor's in Cybersecurity, Master's in AI, Master's in Cybersecurity
On-Campus, Online, Hybrid

Regis University

Regis University

  • Denver
About This Program

A master’s program focused on building technical expertise in AI and machine learning while emphasizing ethical and socially responsible practices.

Student Reviews
Write a Review
What You'll Learn

Students learn to develop intelligent agents, fine-tune large language models, and apply AI tools to solve strategic challenges in business and healthcare.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The hybrid curriculum covers foundations of AI, search algorithms, and the integration of intelligent systems into diverse sectors such as finance and logistics.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning and Neural Networks 3. Applied AI Ethics and Governance 4. Natural Language Processing 5. Computer Vision Applications 6. AI Systems Deployment and Optimization
Program Specializations:
AI Ethics/Policy
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in AI/ML is often preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional or Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Thrive as Data Analyst in Business AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Engineer: $120,000 Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Specialist 3. Data Scientist (AI Focus) 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Microsoft, Amazon, and IBM, as well as AI-focused firms in healthcare, finance, and autonomous systems.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 31,980
Format
On-Campus, Online, Hybrid
Specializations
AI Ethics/Policy
Machine Learning
Official Resources
Program Website
Request Information