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Admission Snapshot
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 and coursework in probability, statistics, and linear algebra.
About This Program
A dedicated graduate program that trains students to design and build AI systems capable of executing complex human-level reasoning and decision-making.
Career Outcomes
Lead as AI Engineer in Cross-Industry AI with analytics expertise
- 1. AI Engineer
- 2. Machine Learning Engineer
- 3. Data Scientist
- 4. AI Research Scientist
What You'll Learn
- Design and implement machine learning models for real-world problems.
- Apply deep learning techniques to image recognition and generative tasks.
- Develop natural language processing systems for text analysis and chatbots.
- Evaluate ethical implications and biases in AI systems.
Curriculum Highlights
This intensive full-time program features 15 months of study, including a required capstone project in collaboration with industry partners.
Top Employers
Top employers include Google, Microsoft, Amazon, and Meta.
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 and coursework in probability, statistics, and linear algebra.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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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