NV

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

University of Nevada, Las Vegas

University of Nevada, Las Vegas

  • Las Vegas
About This Program

This graduate track provides a mathematically rigorous environment for students to conduct research and contribute to the frontiers of artificial intelligence.

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What You'll Learn

Students will learn to develop advanced algorithms and software modules specializing in big data, machine learning, and automated problem-solving.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum focuses on core computer science areas with a dedicated track in AI, machine learning, and the development of trustworthy information systems.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. AI Ethics and Responsible AI
Program Specializations:
Machine Learning
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and linear algebra.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• 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

Position as Machine Learning Engineer in Cross-Industry 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
Machine Learning Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Software Developer
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at tech firms.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 10,605
Format
On-Campus
Specializations
Machine Learning
Computer Vision
Official Resources
Program Website
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