MasterOn-Campus, OnlinePart-Time

University of Michigan‑Flint

MS in Artificial Intelligence

Flint, Michigan1.5 $264K 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 — see our methodology.

How this program compares

At an estimated $26.4K in total tuition, the MS in Artificial Intelligence sits roughly 38% below the $42.4K average for AI master's programs in our database — placing it in the 37th 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
Job Growth+23%
Top RoleAI Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$26K total
Format
On-Campus, Online
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Computer Vision, Machine Learning

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 quantitative coursework.

About This Program

University of Michigan–Flint's MS in Artificial Intelligence offers the Michigan-system credential with an accessible, flexible format and a notably affordable price point. The curriculum covers machine learning, deep learning, and applied AI.

With on-campus and online options, the program is well-suited to working professionals in the region who want a respected public-university AI degree at strong value.

Why students choose it: Affordable, flexible Michigan-system AI degree built for working professionals.

Career Outcomes

Thrive as AI 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 real-world applications
  • Apply deep learning techniques to image and language data
  • Evaluate ethical implications and societal impacts of AI systems
  • Develop AI solutions using reinforcement learning and optimization

Curriculum Highlights

The 32-credit curriculum consists of core courses in machine learning and software engineering. Students choose concentrations such as Smart Manufacturing, AR/VR, or Robotics and Human-Centered Design.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

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 quantitative coursework.

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+)

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