Typical admitted student: A bachelor's degree in a STEM field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and relevant programming experience. Prerequisites in calculus, linear algebra, and statistics are often expected.

About This Program

This year-long graduate certificate builds professional expertise in core and emerging areas of modern artificial intelligence and machine learning for working professionals.

Career Outcomes

Gain machine learning skills to advance as Computer Vision Engineer in Cross-Industry AI

1. AI Engineer
2. Machine Learning Specialist
3. Data Scientist
4. AI Ethics Consultant

What You'll Learn

Develop and train machine learning models for predictive analytics.
Implement deep learning architectures for image and language processing.
Apply AI techniques to real-world problems in data analysis.
Evaluate ethical implications and biases in AI systems.

Curriculum Highlights

The sequence includes courses on modern AI methods, computer vision, and natural language processing, concluding with a specialized capstone project.

Top Employers

Top employers include tech leaders like Google, Amazon, Microsoft, and AI-focused firms such as OpenAI and NVIDIA.

Admissions

A bachelor's degree in a STEM field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and relevant programming experience. Prerequisites in calculus, linear algebra, and statistics are often expected.

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: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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