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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 in Python or similar languages. Relevant coursework in linear algebra, probability, and statistics is often expected.
About This Program
A technical graduate program focusing on the creation and advancement of AI technologies through the study of computer science, programming, and mathematics.
Career Outcomes
Lead as Machine Learning Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. AI Software Developer
What You'll Learn
- Implement supervised and unsupervised machine learning models for real-world data problems.
- Design and train deep neural networks for tasks like image recognition and natural language processing.
- Apply AI techniques to data mining and pattern recognition in large datasets.
- Evaluate ethical implications and societal impacts of AI systems.
Curriculum Highlights
The coursework emphasizes programming and mathematical foundations, integrating core AI policy and ethics with specialized training in algorithms and large-scale data analysis.
Top Employers
Top employers include Google, Amazon, Microsoft, 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 in Python or similar languages. Relevant coursework in linear algebra, probability, and statistics is often expected.
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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