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 programming experience in languages like Python and coursework in linear algebra, calculus, and probability.

About This Program

This advanced degree prepares students to build autonomous intelligent systems that integrate symbolic inference, knowledge representation, and automated reasoning to simulate human intelligence.

Career Outcomes

Position as Machine Learning 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.
Develop deep neural networks for complex pattern recognition.
Apply natural language processing techniques to text and speech data.
Build AI systems emphasizing ethical decision-making and bias mitigation.

Curriculum Highlights

The program emphasizes planning and evaluating intelligent systems through a curriculum focused on autonomous learning, search algorithms, and advanced search and inference techniques.

Top Employers

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

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 programming experience in languages like Python and coursework in linear algebra, calculus, and probability.

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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