University of Missouri

How this program compares

Budget-wise, $9.3K puts this certificate program at the 52nd percentile on cost — roughly 15% below the $11.0K average across 180 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or related field is typically required. Applicants should demonstrate foundational knowledge in programming and mathematics; some programs may require GRE scores or relevant professional experience.

About This Program

This graduate certificate prepares students to handle the growing demand for cutting-edge artificial intelligence techniques across various industries. It focuses on both foundational and advanced skills. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

It is one of 17 AI-related programs we track in Missouri, of which about 76% offer an online option. On price, it comes in cheaper than about 94% of the Missouri programs in our data, where typical tuition runs near $24.2K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $130,000.

Design, train, and evaluate machine learning models using supervised and unsupervised learning techniques.

Estimated total tuition is $9.3K, below the $11.0K average for AI certificate programs in our database and in the 52nd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Career Outcomes

Graduates of University of Missouri's AI and Machine Learning Graduate Certificate most often target Machine Learning Engineer roles, where reported compensation runs around $130,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers in engineering ai 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 Research Scientist
• 4. AI Solutions Architect

What You'll Learn

• Design, train, and evaluate machine learning models using supervised and unsupervised learning techniques
• Build deep learning systems and neural networks for real-world applications
• Apply AI and machine learning responsibly while addressing bias, fairness, and ethical concerns
• Deploy AI solutions in production environments and implement MLOps best practices

Curriculum Highlights

The 15-credit curriculum includes core requirements in machine learning and pattern recognition. Students select electives from areas like unsupervised learning, artificial intelligence II, and biomedical informatics.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, IBM, and OpenAI, as well as financial institutions, healthcare organizations, and government research agencies investing in AI and machine learning capabilities.

Admissions

Admission to University of Missouri's AI and Machine Learning 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: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions