Neumont College of Computer Science
MS in Applied Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $22.5K in total tuition, the MS in Applied Artificial Intelligence sits roughly 47% below the $42.4K average for AI master's programs in our database β placing it in the 32nd percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and statistics.
About This Program
A virtual 18-month master's program designed for working professionals to master the design and development of advanced AI systems and algorithms. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1.5 years.
Estimated total tuition is $22.5K, below the $42.4K average for AI master's programs in our database and in the 32nd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Advance as Machine Learning Engineer in Cross-Industry AI with natural language processing expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Advance as Machine Learning Engineer in Cross-Industry AI with natural language processing expertise
- 1. AI Engineer
- 2. Machine Learning Engineer
- 3. Data Scientist
- 4. AI Research Scientist
What You'll Learn
- Design and implement machine learning models for predictive analytics.
- Develop deep learning systems for image and language processing.
- Apply AI techniques to solve real-world problems in automation and decision-making.
- Evaluate ethical implications and biases in AI systems.
Curriculum Highlights
The project-based curriculum focuses on Python, ML.NET, data analysis, and includes a capstone project applicable to the student's current employer.
Top Employers
Top employers include Google, Microsoft, Amazon, and NVIDIA.
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and statistics.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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+)
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