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 and foundational knowledge in mathematics such as linear algebra and calculus.

About This Program

This flexible online version of the MS in Artificial Intelligence provides advanced, interdisciplinary knowledge tailored for professionals seeking to lead in the rapidly evolving AI domain.

Career Outcomes

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

1. AI/ML Engineer
2. Data Scientist
3. Machine Learning Researcher
4. AI Systems Architect

What You'll Learn

Design and implement advanced machine learning models for real-world applications
Apply deep learning techniques including neural networks and convolutional networks
Develop AI systems for natural language processing and computer vision tasks
Evaluate ethical implications and biases in AI technologies

Curriculum Highlights

The 30-credit curriculum includes core requirements in AI ethics and machine learning, with elective paths in natural language processing, computer vision, and big data analytics.

Top Employers

Top employers include Google, Microsoft, Amazon, IBM, and tech firms specializing in AI solutions.

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 and foundational knowledge in mathematics such as linear algebra and calculus.

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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