Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with strong coursework in programming, linear algebra, and calculus. Relevant work experience or research in AI/ML is preferred but not mandatory.

About This Program

This online graduate program offers a solid foundation in computer science while allowing for specialized study in artificial intelligence and machine learning.

Career Outcomes

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

1. Machine Learning Engineer
2. AI Research Scientist
3. Data Scientist
4. Computer Vision Engineer

What You'll Learn

Design and implement supervised and unsupervised machine learning models.
Develop deep neural networks for complex data patterns.
Apply AI techniques to real-world problems like computer vision and NLP.
Optimize algorithms for scalable AI systems and ethical deployment.

Curriculum Highlights

The curriculum consists of core breadth courses in algorithms and systems, followed by elective depth coursework in AI and machine learning.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at companies like OpenAI and NVIDIA.

Admissions

A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with strong coursework in programming, linear algebra, and calculus. Relevant work experience or research in AI/ML is preferred but not mandatory.

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: Optional
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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