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Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field is required, along with a competitive GPA (typically 3.0+). Applicants should demonstrate strong quantitative skills and may need to show relevant coursework or professional experience in computing or mathematics.
About This Program
This online graduate program enables students with computer science backgrounds to master large language models and autonomous system development.
Career Outcomes
Lead as AI Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. AI Systems Architect
What You'll Learn
- Design and optimize machine learning models for complex real-world problems
- Understand the mathematical foundations and algorithmic principles underlying modern AI systems
- Develop practical skills in deep learning frameworks and GPU programming[3]
- Apply ethical frameworks to AI development and address bias, fairness, and responsible innovation[3]
Curriculum Highlights
The curriculum features seven core courses, including natural language processing, technology ethics, and machine learning, plus technical electives.
Top Employers
Top employers for AI professionals include Google, Meta, Microsoft, OpenAI, Amazon, and leading technology and financial services firms.[1
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field is required, along with a competitive GPA (typically 3.0+). Applicants should demonstrate strong quantitative skills and may need to show relevant coursework or professional experience in computing or mathematics.
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: Required for most applicants
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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