MO

Certificates in AI
On-Campus, Online

University of Missouri–St. Louis

Certificate in Artificial Intelligence

  • Saint Louis
About This Program

This five-course undergraduate program provides essential training for starting or advancing careers in the rapidly growing field of artificial intelligence.

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What You'll Learn

Students will develop skills in machine learning, data mining, and statistical methods while learning to program autonomous behavior and solve complex problems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes core courses in design and analysis of algorithms and artificial intelligence, supplemented by electives in deep learning and computer vision.
Typical Course Topics
1. Introduction to Artificial Intelligence 2. Machine Learning Fundamentals 3. Deep Learning and Neural Networks 4. Natural Language Processing 5. Computer Vision 6. AI Ethics and Responsible AI
Program Specializations:
Machine Learning
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree or equivalent professional experience in a related field like computer science or engineering is typically required, along with a minimum GPA of 3.0; relevant programming knowledge is preferred but not always mandatory.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree or equivalent
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Specialist 3. Data Scientist 4. AI Ethics Consultant
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Microsoft, Amazon, and IBM, as well as consulting firms and AI startups.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 10,155
Format
On-Campus, Online
Specializations
Machine Learning
Computer Vision
Official Resources
Program Website
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