Grand Valley State University

How this program compares

At an estimated $27.1K in total tuition, the MS in Artificial Intelligence sits roughly 37% below the $42.9K average for AI master's programs in our database — placing it in the 37th percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

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.

It is one of 26 AI-related programs we track in Michigan, of which about 69% offer an online option. On price, it comes in cheaper than about 77% of the Michigan programs in our data, where typical tuition runs near $50.2K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $118,000.

Design and implement machine learning models for complex real-world problems.

At roughly $27.1K total, Grand Valley State University's MS in Artificial Intelligence sits below the $42.9K average among AI master's programs we track — the 37th percentile on price. That puts it in the mid-range on price among comparable programs.

Career Outcomes

Grand Valley State University positions this master track for Machine Learning Engineer careers — typical offers cluster around $118,000. Its focus on Natural Language Processing (NLP) and Computer Vision maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Grand Valley State University's MS in Artificial Intelligence generally expects a master of science (ms). Plan for the GRE, which this program lists as required. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions