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Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, electrical engineering, or a related field with strong programming skills and mathematics background including linear algebra, probability, and calculus is required. Relevant coursework or experience in machine learning and computer vision is highly recommended.
About This Program
This 16-month professional degree prepares students for careers in visual perception, image understanding, and large-scale computer vision applications.
Career Outcomes
Advance as Computer Vision Engineer in Cross-Industry AI with machine learning expertise
- 1. Computer Vision Engineer
- 2. Machine Learning Researcher
- 3. Autonomous Systems Developer
- 4. AI Perception Specialist
What You'll Learn
- Develop algorithms for object detection and recognition in images and video.
- Reconstruct 3D scenes from 2D visual data.
- Apply deep learning models to vision tasks like segmentation and tracking.
- Design perception systems for autonomous vehicles and robotics.
Curriculum Highlights
The curriculum consists of core computer vision courses, flexible options in robot learning, specialized electives, and a summer internship.
Top Employers
Top employers include tech leaders like Google, Meta, NVIDIA, and autonomous vehicle companies such as Waymo and Tesla.
Admissions
A bachelor's degree in computer science, electrical engineering, or a related field with strong programming skills and mathematics background including linear algebra, probability, and calculus is required. Relevant coursework or experience in machine learning and computer vision is highly recommended.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- 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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