Georgia Institute of Technology

How this program compares

Georgia Institute of Technology's MS in Computational Perception & Robotics lists about $20.6K total tuition — roughly 52% below the $42.9K AI master's average (27th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

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 algorithms, data structures, and linear algebra.

About This Program

This track focuses on the intersection of computer vision, sensory systems, and the physical interaction of robotic devices. Most students complete it in about 2 years.

It is one of 26 AI-related programs we track in Georgia, of which about 69% offer an online option. On price, it comes in higher than about 54% of the Georgia programs in our data, where typical tuition runs near $36.8K.

Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $125,000.

Develop algorithms for image formation, feature detection, and camera geometry in computer vision.

Budget planners should note $20.6K estimated total tuition (27th percentile among AI master's programs, below the $42.9K average). That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

Graduates of Georgia Institute of Technology's MS in Computational Perception & Robotics most often target Robotics Engineer roles, where reported compensation runs around $125,000. Its focus on Computer Vision and Natural Language Processing (NLP) maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 15% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Robotics Software Engineer
• 2. Computer Vision Researcher
• 3. Autonomous Systems Engineer
• 4. Perception Algorithm Developer

What You'll Learn

• Develop algorithms for image formation, feature detection, and camera geometry in computer vision.
• Design motion estimation, stereo vision, and 3D scene reconstruction systems.
• Implement robot kinematics, dynamics, control, and path planning.
• Apply machine learning and deep learning to perception tasks in robotics.
• Build systems for egomotion estimation, environment mapping, and multisensor fusion.

Curriculum Highlights

The curriculum covers perception-focused topics like 3D reconstruction and machine learning for robotics, alongside core algorithms and robotics theory.

Top Employers

Top employers include robotics companies like Boston Dynamics and iRobot, tech firms such as Google and NVIDIA, and research labs at NASA and DARPA.

Admissions

Admission to Georgia Institute of Technology's MS in Computational Perception & Robotics generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions