Drexel University

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.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, linear algebra, and statistics.

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.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI Research Analyst
• 3. Data Scientist
• 4. Computational AI Specialist

What You'll Learn

• Implement supervised and unsupervised machine learning models for predictive analytics.
• Design and train deep neural networks for complex pattern recognition.
• Apply natural language processing techniques to text data analysis.
• Develop reinforcement learning agents for decision-making systems.

Curriculum Highlights

The structure includes required courses in machine learning, deep learning, and introduction to AI, plus electives in computer vision or game AI.

Top Employers

Top employers include tech leaders like Google, Amazon, Microsoft, and Meta, as well as research labs and AI-focused startups.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, linear algebra, and statistics.

Application Materials

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

Academic Requirements

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