Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages and strong mathematical background in linear algebra and statistics.

About This Program

This online master's degree focuses on advanced computing topics, offering specialized tracks for those pursuing careers in AI and machine learning.

Career Outcomes

Lead as AI 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
Build and train deep neural networks for complex data patterns
Develop natural language processing systems for text analysis and generation
Apply computer vision techniques for image recognition and object detection

Curriculum Highlights

The curriculum covers core computer science principles with specialized depth in machine learning algorithms, deep learning, and their practical applications.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and AI-focused startups like OpenAI and NVIDIA.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages and strong mathematical background in linear algebra and statistics.

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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