Washington State University

How this program compares

At an estimated $10.0K in total tuition, the Artificial Intelligence and Data Science Graduate Certificate sits roughly 9% below the $11.0K average for AI certificate programs in our database — placing it in the 57th percentile on cost among the 180 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: Bachelor's degree required with a foundation in mathematics, statistics, or computer science. Some programs accept applicants from non-technical backgrounds with demonstrated analytical skills and professional experience.

About This Program

This graduate certificate equips students with advanced data science and analytics knowledge, with a specific focus on ethical considerations and responsible data citizenship. Coursework concentrates on AI Ethics/Policy and Machine Learning. Most students complete it in about 1 year.

Graduates frequently move into roles such as AI Ethics Specialist, with reported salaries around $85,000.

Design, train, and optimize machine learning models for real-world applications.

At roughly $10.0K total, Washington State University's Artificial Intelligence and Data Science Graduate Certificate sits below the $11.0K average among AI certificate programs we track — the 57th percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 14 AI-related programs we track in Washington, of which about 57% offer an online option. On price, it comes in cheaper than about 100% of the Washington programs in our data, where typical tuition runs near $51.6K.

Career Outcomes

Washington State University positions this certificate track for AI Ethics Specialist careers — typical offers cluster around $85,000. Its focus on AI Ethics/Policy and Machine Learning 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. Data Scientist
• 3. AI Engineer
• 4. Business Intelligence Analyst

What You'll Learn

• Design, train, and optimize machine learning models for real-world applications
• Apply deep learning techniques to complex data problems including image and text analysis
• Develop responsible AI solutions addressing bias, privacy, and compliance requirements
• Deploy AI systems using industry-standard tools, cloud platforms, and production workflows

Curriculum Highlights

The program includes core coursework in data communication and responsible data science, supported by industry partnerships and research initiatives addressing algorithmic bias.

Top Employers

Top employers in AI and data science include Amazon Web Services (AWS), Google, Microsoft, NVIDIA, IBM, and major enterprises across finance, healthcare, and technology sectors.

Admissions

Admission to Washington State University's Artificial Intelligence and Data Science Graduate Certificate generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. 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: 1–2
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions