University of Missouri–St. Louis
Certificate in Artificial Intelligence
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Admission Snapshot
Typical admitted student: 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.
About This Program
This five-course undergraduate program provides essential training for starting or advancing careers in the rapidly growing field of artificial intelligence.
Career Outcomes
Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI
- 1. AI Engineer
- 2. Machine Learning Specialist
- 3. Data Scientist
- 4. AI Ethics Consultant
What You'll Learn
- Core AI algorithms and machine learning models for predictive analytics
- Techniques for training neural networks and deep learning systems
- Applications of natural language processing and computer vision
- Ethical considerations and bias mitigation in AI development
Curriculum Highlights
The curriculum includes core courses in design and analysis of algorithms and artificial intelligence, supplemented by electives in deep learning and computer vision.
Top Employers
Top employers include tech giants like Google, Microsoft, Amazon, and IBM, as well as consulting firms and AI startups.
Admissions
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree or equivalent
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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