University of San Diego
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 $60K in total tuition, the MS in Applied Artificial Intelligence sits about 41% above the $42.4K average for AI master's programs in our database β placing it in the 76th 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: Requires a bachelor's degree in computer science, mathematics, engineering, or a related field, with a minimum GPA of 3.0, programming experience, and background in probability and statistics. GRE is often optional or not required.
About This Program
This online master's degree focuses on developing and deploying ethical AI systems to solve real-world problems across diverse industries. Coursework concentrates on Computer Vision and AI Engineering / Applied AI. Most students complete it in about 1.5 years.
Estimated total tuition is $60K, above the $42.4K average for AI master's programs in our database and in the 76th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Thrive as AI Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $105,000.
Career Outcomes
Thrive as AI Engineer in Cross-Industry AI with machine learning expertise
- 1. AI Engineer
- 2. Machine Learning Engineer
- 3. Data Scientist
- 4. AI Product Manager
What You'll Learn
- Design and implement machine learning models for real-world applications
- Apply deep learning techniques to process and analyze complex data
- Develop AI systems with ethical considerations and deployment strategies
- Build predictive models using probability, statistics, and data pipelines
Curriculum Highlights
The curriculum includes neural networks, deep learning, AI ethics, and a comprehensive capstone project that pairs students with potential industry partners.
Top Employers
Top employers include Google, Amazon, Microsoft, and NVIDIA.
Admissions
Requires a bachelor's degree in computer science, mathematics, engineering, or a related field, with a minimum GPA of 3.0, programming experience, and background in probability and statistics. GRE is often optional or not required.
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 or Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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