University of Nevada, Las Vegas

How this program compares

University of Nevada, Las Vegas's MS in Computer Science - AI and Machine Learning Track lists about $10.6K total tuition — roughly 75% below the $42.9K AI master's average (4th percentile in our data). It runs on a full-time schedule (on-campus).

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.

At roughly $10.6K total, University of Nevada, Las Vegas's MS in Computer Science - AI and Machine Learning Track sits below the $42.9K average among AI master's programs we track — the 4th percentile on price. That makes it one of the more affordable options for students weighing return on investment.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Design and implement machine learning models for predictive analytics and pattern recognition.

Career Outcomes

Graduates of University of Nevada, Las Vegas's MS in Computer Science - AI and Machine Learning Track most often target Machine Learning Engineer roles, where reported compensation runs around $120,000. Its focus on Machine Learning and Computer Vision maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to University of Nevada, Las Vegas's MS in Computer Science - AI and Machine Learning Track generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions