MasterOnlinePart-Time

University of San Diego

MS in Applied Artificial Intelligence

San Diego, California1.5 $60K total tuition
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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.

Est. Salary$120,000 Machine Learning Specialist
Job Growth+23%
Top RoleAI Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$60K total
Format
Online
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Computer Vision, AI Engineering / Applied AI

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: 2–3
  • 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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