University of Nevada, Las Vegas

How this program compares

At an estimated $10.6K in total tuition, the MS in Computer Science - AI and Machine Learning Track sits roughly 75% below the $42.4K average for AI master's programs in our database — placing it in the 4th percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: 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.

About This Program

This graduate track provides a mathematically rigorous environment for students to conduct research and contribute to the frontiers of artificial intelligence. Coursework concentrates on Machine Learning and Computer Vision. Most students complete it in about 2 years.

Estimated total tuition is $10.6K, below the $42.4K average for AI master's programs in our database and in the 4th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Software Developer

What You'll Learn

• Design and implement machine learning models for predictive analytics and pattern recognition.
• Develop deep neural networks for applications in computer vision and natural language processing.
• Apply reinforcement learning techniques to optimize decision-making systems.
• Evaluate AI systems for ethical implications, bias, and fairness.

Curriculum Highlights

The curriculum focuses on core computer science areas with a dedicated track in AI, machine learning, and the development of trustworthy information systems.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at tech firms.

Admissions

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)