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Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, data science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or equivalent. Relevant coursework in machine learning or statistics is preferred.
About This Program
This innovative online master's program is designed for executives and business transformation officers to master the application of generative AI technologies in organizational settings.
Career Outcomes
Thrive as AI Engineer in Cross-Industry AI with neural networks expertise
- 1. Generative AI Engineer
- 2. AI Research Scientist
- 3. Machine Learning Specialist
- 4. AI Product Developer
What You'll Learn
- Design and implement generative AI models like GANs and diffusion models.
- Apply natural language processing techniques for text and image generation.
- Evaluate ethical implications and biases in generative AI systems.
- Integrate generative AI into real-world applications and workflows.
Curriculum Highlights
The curriculum features courses in machine learning, neural networks, LangChain, vector databases, and responsible AI, culminating in a hands-on generative AI capstone project.
Top Employers
Top employers include tech leaders like Google, Microsoft, OpenAI, and Amazon, along with AI startups and consulting firms.
Admissions
A bachelor's degree in computer science, data science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or equivalent. Relevant coursework in machine learning or statistics is preferred.
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: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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