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 demonstrated programming proficiency in Python and foundational knowledge in linear algebra, calculus, and data structures.

About This Program

This flexible online master’s program is designed for working professionals seeking to enhance their technical expertise in the rapidly evolving field of AI.

Career Outcomes

Lead as AI Engineer in Cross-Industry AI with natural language processing expertise

1. Machine Learning Engineer
2. AI Research Scientist
3. Data Scientist
4. AI Software Developer

What You'll Learn

Design and implement machine learning models for predictive analytics.
Apply deep learning techniques to image recognition and natural language processing.
Develop AI systems using neural networks and reinforcement learning algorithms.
Evaluate ethical implications and optimize AI solutions for real-world problems.

Curriculum Highlights

The curriculum features seven-week course formats covering advanced machine learning, natural language processing, and a project-based approach to intelligent system design.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

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 demonstrated programming proficiency in Python and foundational knowledge in linear algebra, calculus, and data structures.

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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