Master Courses
.Technology & Innovation.
Master of Robotics and Autonomous Systems
Overview
This master program explore core principles of robotics, advanced automation technologies, and autonomous systems. The curriculum emphasizes real-world applications, including autonomous vehicles, industrial robots, and AI-powered systems for healthcare, manufacturing, and smart cities.
Duration: 1 to 2 years (Full-time or Part-time options available).
Learning Method: Online, face-to-face, or hybrid.
Objective: To prepare graduates for leadership roles in robotics, automation, and autonomous system development.
Minimum qualification: Completion of a Bachelor’s degree or equivalent in engineering, computer science, robotics, or related fields.
Recommended Background: Interest in robotics, AI, or control systems. Knowledge of programming (Python, C++) or mechanical design is beneficial.
1. Comprehensive Curriculum: Covers robotics engineering, AI, and system integration.
2. Hands-On Learning: Real-world projects with robotics platforms and simulation tools.
3. Emerging Technologies: Focus on autonomous systems, IoT integration, and machine learning.
4. Interdisciplinary Approach: Combines mechanical, electrical, and computer engineering.
1. Robotic System Design: Develop and implement mechanical and software components of robotic systems.
2. Autonomous Systems Development: Create intelligent systems for navigation, decision-making, and real-time processing.
3. AI Integration: Apply machine learning and computer vision to enhance robotic functionalities.
4. Innovation Leadership: Analyze market trends and lead automation and robotics projects.
Graduates can work in roles such as:
1. Robotics Engineer
2. Autonomous Systems Developer
3. Control Systems Specialist
4. AI and Machine Learning Engineer
5. Industrial Automation Consultant
6. Robotics Product Manager
Industries: Automotive, aerospace, healthcare, manufacturing, logistics, and research.
Module Guide
1. Introduction to Robotics and Automation: Fundamentals of robotic systems and their applications.
2. Control Systems Engineering: Principles of control and automation in robotics.
3. Artificial Intelligence for Robotics: Basics of AI and machine learning in autonomous systems.
4. Robotics Programming: Hands-on programming in Python and ROS (Robot Operating System).
1. Advanced Mechatronics: Integration of mechanical and electronic systems in robotics.
2. Autonomous Navigation and Mapping: Techniques for SLAM (Simultaneous Localization and Mapping).
3. Human-Robot Interaction: Designing systems for collaborative and assistive robotics.
4. Capstone Project: Development and presentation of a fully functional autonomous robotic solution.
Certification
Graduates earn a Master of Robotics and Autonomous Systems degree from Quantum Infinity Education, recognized internationally and certifying expertise in robotics and automation technologies.
Course Fees
Fees for domestic students range from $25,000 to $30,000 per year. The cost reflects the comprehensive learning resources, industry exposure, and high-quality education provided. Flexible payment plans and installment options are available.
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