Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in mathematics such as linear algebra and probability.

About This Program

A flexible terminal degree program offering both online and on-campus options to master the design and implementation of complex software systems.

Career Outcomes

Thrive as Robotics Engineer in Cross-Industry AI with computer vision expertise

1. AI Research Scientist
2. Machine Learning Engineer
3. Robotics Software Engineer
4. Computer Vision Specialist

What You'll Learn

Design and implement machine learning models for real-world AI applications.
Develop computer vision systems for object detection and image processing.
Build and control robotic systems using AI and reinforcement learning.
Apply deep learning techniques to neural networks and large datasets.
Analyze and optimize algorithms for artificial intelligence and robotics.

Curriculum Highlights

The specialization curriculum focuses on robotics, reinforcement learning, and modern computer vision, supported by core software engineering principles.

Top Employers

Top employers include Google, Amazon, NVIDIA, Boston Dynamics, and research labs like OpenAI.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in mathematics such as linear algebra and probability.

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 90+ / IELTS 7.0+)

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