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Certificates in AI
On-Campus, Online

Drexel University | Graduate Certificate in Computational AI & ML

  • Philadelphia


About This Program

This post-baccalaureate certificate focuses on the mathematical foundations and algorithms necessary for modeling and designing sophisticated artificial intelligence and machine learning systems.

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What You'll Learn
  • Implement supervised and unsupervised machine learning models for real-world data problems.
  • Design and train deep neural networks for tasks like image recognition and sequence modeling.
  • Apply computational techniques to optimize AI algorithms and handle large-scale datasets.
  • Evaluate AI/ML systems using metrics like accuracy, precision, and computational efficiency.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Graduate Certificate in Computational AI & ML is a 12-15 credit graduate-level program focusing on foundational and applied machine learning techniques, algorithms, and computational AI methods.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning 3. Natural Language Processing 4. Computer Vision 5. Statistical Machine Learning 6. AI Algorithms and Optimization
Program Specializations:
Deep Learning
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated programming proficiency in Python or similar languages and coursework in linear algebra, probability, and calculus.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• 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: 2–3
• 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.

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Career Opportunities in AI

Gain computer vision skills to advance as AI Engineer in Cross-Industry AI

Estimated Industry Salary
Machine Learning Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Data Scientist 3. Computational AI Specialist 4. ML Algorithm Developer
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Amazon, Microsoft, and Meta, as well as AI-focused firms in healthcare, finance, and autonomous systems.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
$ 17,772
Format
On-Campus, Online
Specializations
Deep Learning
Machine Learning
Official Resources
Program Website
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