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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; relevant programming experience or coursework in Python and statistics is preferred.
About This Program
This 9-credit university-wide certificate is designed for students across all majors to understand AI fundamentals and apply these technologies to real-world problems within their specific disciplines.
Career Outcomes
Develop ai applications skills to advance as AI Engineer in Cross-Industry AI
- 1. AI/ML Engineer
- 2. Data Scientist
- 3. AI Ethics Consultant
- 4. Machine Learning Specialist
What You'll Learn
- Implement machine learning algorithms for data analysis and prediction.
- Design and train deep neural networks for computer vision and NLP tasks.
- Apply generative AI models to create content and solve real-world problems.
- Evaluate ethical implications and biases in AI systems.
Curriculum Highlights
The program requires three courses: one in AI fundamentals, one in AI ethics, and a college-specific elective focusing on AI applications in fields like business, engineering, or education.
Top Employers
Top employers include Google, Microsoft, Amazon, and IBM.
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in Python and statistics is preferred.
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: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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