Typical admitted student: A bachelor's degree in a related field such as computer science, mathematics, or engineering is required, along with a minimum GPA of 3.0 and foundational programming skills in Python. Prerequisites like college algebra or equivalent math coursework are often needed.

About This Program

This graduate-level program builds upon foundational knowledge to introduce students to sophisticated neural network techniques and advanced machine learning technologies.

Career Outcomes

Gain natural language processing skills to advance as AI Engineer in Cross-Industry AI

1. Machine Learning Engineer
2. AI Data Scientist
3. Computer Vision Specialist
4. NLP Developer

What You'll Learn

Implement machine learning models using supervised and unsupervised techniques.
Develop deep neural networks for complex data processing.
Apply natural language processing to real-world text analysis tasks.
Build computer vision systems for image recognition and analysis.

Curriculum Highlights

This 12-credit program requires the Fundamentals of AI certificate as a prerequisite and features core courses in deep learning and reinforcement learning.

Top Employers

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

Admissions

A bachelor's degree in a related field such as computer science, mathematics, or engineering is required, along with a minimum GPA of 3.0 and foundational programming skills in Python. Prerequisites like college algebra or equivalent math coursework are often needed.

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+)

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