CertificateOn-Campus, OnlineFull-Time

University of Missouri

AI and Machine Learning Graduate Certificate

Columbia, Missouri1 years$9K total tuition
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How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Est. Salary$120,000 Data Scientist
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$9K total
Format
On-Campus, Online
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

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.

Career Outcomes

Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI

  • 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

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.

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 (often waived with relevant work experience)
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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