MCA in AI, Machine Learning & Robotics
“Advanced computing, intelligent systems, and real robotics engineering.”
Artificial Intelligence, Machine Learning, and Robotics are driving the next wave of technological innovation. This advanced MCA programme combines intelligent computing, software engineering, automation, machine learning, and robotics technologies to prepare professionals for leadership roles in the digital economy — delivered with IHUB School of Learning.
Apply Now →NEP 2020
Aligned
04
Semesters
100
Total Credits
Dual
Specialisation
Programme Highlights
Why This Programme Stands Out
Advanced AI & Machine Learning Ecosystem
Develop expertise in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, and Intelligent Decision Systems using modern industry tools and frameworks.
Robotics & Intelligent Automation
Acquire practical exposure to robotics design, autonomous systems, embedded technologies, sensors, controllers, automation platforms, and intelligent robotic applications.
Industry-Oriented Technical Excellence
Master advanced programming, software architecture, databases, cloud-enabled applications, cybersecurity, and full-stack development aligned with current industry demands.
Research, Innovation & Product Development
Engage in research-oriented learning, innovation projects, and capstone development that foster critical thinking and technological creativity.
Hands-On Learning Experience
Practical learning through advanced laboratories, real-world case studies, project-based implementation, internships, and collaborative technology initiatives.
High-Growth Career Pathways
Prepare for emerging roles including AI Engineer, ML Engineer, Robotics Engineer, Computer Vision Engineer, Automation Specialist, and Intelligent Systems Consultant.
Curriculum
What You Will Learn
Advanced machine learning, deep learning, and neural network architectures
Robotics engineering: kinematics, control systems, and autonomous navigation
Computer vision, sensor fusion, and image recognition systems
Natural Language Processing and Generative AI fundamentals
Intelligent Decision Systems with modern AI frameworks
Software architecture, cloud-enabled applications, and cybersecurity
Embedded technologies, automation platforms, and robotic application design
Research methodology, capstone development, and innovation projects
Future Ready Pathways
Career Opportunities
Yenepoya University × IHUB School of Learning
What You Gain Through This Collaboration
University academic strength meets iHub’s proven, industry-driven training — so you learn on real tools, from real practitioners, with a clear path to placement.
4+
Years of Experience
iHub Robotics delivering AI & Robotics training
1000+
Students Trained
Skilled in AI, machine learning, robotics & automation
Top
Company Placements
Graduates placed across leading AI & robotics companies
iHub Advantage
What Sets This Programme Apart
Advanced AI & Robotics Labs
Train on advanced AI workstations and modern robotics infrastructure — sensors, controllers, microcontroller kits and real robotic platforms — built for hands-on experimentation.
Industry Experienced Faculty
Learn directly from experienced trainers and mentors drawn from the AI & robotics industry, bringing real engineering practice and current tools into every session.
Proven Training Track Record
A 4+ year legacy of skilling 1000+ learners, with a structured, outcome-focused approach refined across many successful cohorts.
Placement & Career Support
Career guidance, interview readiness and placement support that has helped graduates secure roles in top AI & robotics companies.
Real Industry Projects
Build and demonstrate real, industry-aligned projects and a capstone that mirror the problems professional AI & robotics teams actually solve.
Innovation Ecosystem
Plug into an iHub-powered innovation ecosystem for emerging technology, experimentation and entrepreneurial thinking alongside the university.
Success Stories
Empowering Future Technology Professionals
More than 100+ learners have successfully progressed into internships, project-based training, and career opportunities across leading technology domains.
Industry Connect & Career Pathways
Learning Beyond the Classroom
Through the iHub Robotics ecosystem and industry collaborations, learners gain exposure to real-world projects, internships, technical mentoring, and career-oriented training across diverse industry environments.
Campus Tour
See the Campus Before You Decide
Smart classrooms, advanced AI & Robotics labs, and collaborative spaces — all at Bhartiya City, Bengaluru.
FAQs
Frequently Asked Questions
What is the eligibility to apply for MCA in AI, ML & Robotics?
A BCA, BSc (Computer Science / IT / Mathematics), or equivalent computing background is required. Contact admissions for exact eligibility criteria.
How is this different from a general MCA?
This MCA is specifically built around AI, Machine Learning, and Robotics with dual specialisation — there is dedicated coursework in robotics engineering, autonomous systems, and applied AI rather than a generalist computer applications syllabus.
Who delivers the AI & Robotics training component?
IHUB School of Learning by iHub Robotics — India's first AI robotics company to collaborate with NVIDIA on a Humanoid Robotics Program — with 4+ years of experience training 1000+ students.
Is there a research or capstone component?
Yes. The programme includes a research-oriented capstone project with IHUB School mentorship, real industry problems, and demonstrable deliverables.
What placement support is provided?
Career guidance, interview readiness, and placement support that has helped graduates secure roles in top AI & robotics companies, including IIT Madras collaborations, global robotics firms, and tech leaders.
Ready to Apply for MCA in AI, Machine Learning & Robotics?
Seats are limited — apply early to secure your place at Yenepoya Bengaluru Campus.
Apply Now →