MasterOn-Campus, OnlineFull-Time, Part-Time

Grand Valley State University

MS in Artificial Intelligence

Grand Rapids, Michigan1.2 $27K 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 $27.1K in total tuition, the MS in Artificial Intelligence sits roughly 36% below the $42.4K average for AI master's programs in our database β€” placing it in the 38th 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 AI Research Scientist
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Master of Science (MS)
Duration
1.2 years
Est. Tuition
$27K total
Format
On-Campus, Online
Schedule
Full-Time, Part-Time
GRE / GMAT
Required
Concentrations
Natural Language Processing (NLP), Computer Vision

Typical admitted student: Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, with a minimum GPA of 3.0. Prior coursework in programming, discrete mathematics, and statistics is typically required or strongly recommended.

About This Program

A specialized graduate program focusing on the design and management of intelligent systems through an interdisciplinary curriculum in computer science and cybersecurity. Coursework concentrates on Natural Language Processing (NLP) and Computer Vision. Most students complete it in about 1.2 years.

Estimated total tuition is $27.1K, below the $42.4K average for AI master's programs in our database and in the 38th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $118,000.

Career Outcomes

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

  • 1. Machine Learning Engineer
  • 2. AI Research Scientist
  • 3. Data Scientist
  • 4. AI Systems Architect

What You'll Learn

  • Design and implement machine learning models for complex real-world problems
  • Develop neural networks and deep learning architectures for pattern recognition and prediction
  • Apply natural language processing techniques to extract insights from unstructured text data
  • Evaluate AI systems for ethical implications, bias, and responsible deployment across industries

Curriculum Highlights

Built on core pillars of machine learning and computer vision, the program includes labs, collaborative projects, and studies in the societal impacts of AI.

Top Employers

Top employers in artificial intelligence include major technology firms such as Google, Microsoft, Amazon, IBM, Meta, and specialized AI companies, as well as financial institutions, healthcare organizations, and government research agencies.

Admissions

Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, with a minimum GPA of 3.0. Prior coursework in programming, discrete mathematics, and statistics is typically required or strongly recommended.

Application Materials

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

Academic Requirements

  • Degree Required: Master of Science (MS)
  • GRE: Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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