B.Tech in Robotics and AI

About

The B.Tech in Robotics & AI (or Robotics and Automation with Artificial Intelligence focus) is a four-year undergraduate engineering programme designed to equip students with a strong foundation in engineering fundamentals, robotics, automation and artificial intelligence. Students will study mathematics, and engineering sciences in the first two years, progressing into specialized courses in robotics (mechanical design, sensors, actuators, control systems), AI techniques (machine learning, computer vision, deep learning), embedded systems, IoT & cyber-physical systems. At NCU, the programme is embedded in the School of Engineering & Technology, which emphasises hands-on learning, project-based work, internships and exposure to real-world applications. According to NCU’s description of their AI & Robotics frontiers, students “learn and implement the basic methodologies and tools in robotics research and applications” as part of the curriculum.

This course prepares students to design intelligent robotics solutions, autonomous systems, smart machines and AI-enabled automation for industries, service sectors and research organisations.

Highlights

• Unlike traditional mechanical or electrical engineering programmes, this course fuses robotics/automation with AI, enabling graduates to not just build machines, but make them smart. For example, NCU’s website highlights robotics + AI as “the new frontiers” and mentions modules in robotics research and applications.
• The School emphasises immersive, hands‐on training, applied projects and internships.
• NCU’s engineering programmes follow an outcome-based education model in which the programme educational objectives and outcomes are defined, assessed and updated with stakeholder feedback.
• With robotics, automation and AI being key growth domains in Industry 4.0, graduates of this programme are prepared for emerging career roles in smart manufacturing, autonomous systems, robotics research and AI development.
• Located in Gurugram (a major tech‐hub), NCU enjoys good industry linkages, infrastructure and faculty expertise.
• The programme structure allows for specialisations/electives in advanced areas of robotics & AI, enabling students to tailor their learning to their interests.

Curriculum and Detailed Programme Structure

First Year

• Engineering Mathematics I
• Fundamentals of Computer Programming (C, C++)
• Engineering Graphics & Drawing
• Fundamentals of Robotics & AI
• Human Values and Professional Ethics
• Engineering Mathematics II
• Mechanics and Material Science
• Basic Electrical & Electronics Engineering
• Basic Mechanical Engineering
• Effective Communication I

Second Year

• Data Structures & Algorithms
• Digital Electronics
• Control Systems
• Introduction to Machine Learning
• Effective Communication II
• Fundamentals of Signal Processing
• Microprocessors & Microcontrollers Programming & Interfacing
• Sensors, Actuators & Drive Systems in Robotics
• Theory of Machines & Machine Design
• Skill Development (Introduction to Robotic Middleware & Simulation)
• Open Elective I

Third Year

• Kinematics of Robotics
• Image Processing & Computer Vision
• Deep Learning
• Edge Computing
• Smart Manufacturing
• Robot Operating Systems
• Major Project / Project #1
• Open Elective II
• Skill Development (AI for Robotic Perception)

Fourth Year

• Robot Safety & Maintenance
• Major Project #2
• Entrepreneurship
• Foreign Language
• Environmental Studies
• Open Elective III
• Six-month Internship or Research Work

Key programme features:

• Major capstone/semester project in the final year implementing a robotics + AI system.
• Summer internship(s) after 2nd/3rd year in industry or research labs (to gain practical exposure).
• Six Months internship at 8^th Semester.
• Electives/specialisation tracks to enable students to focus on a particular domain.
• Use of modern engineering tools, robotics labs, simulation software, sensor/actuator kits, AI/ML toolkits.

Workshops, hackathons, project exhibitions to promote innovation.

Programme Educational Objectives (PEOs)

• To train students with hands-on, practical skills and experimental practices in the core and applied areas of robotics and artificial intelligence, enabling them to go beyond theoretical learning.
• To enable students to design, develop, and maintain mechatronic and automated systems that are socially relevant and technically robust.
• To develop strong team-building, collaboration, and leadership abilities in students, grounded in ethical values and social responsibility.
• To ensure students can communicate effectively, manage projects, and pursue independent research — preparing them for professional and entrepreneurial roles.

Programme Outcomes (POs)

• PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• PO2: Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
• PO3: Design/development of solutions: Design solutions for complex engineering problems and system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
• PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
• PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
• PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multi-disciplinary settings.
• PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
• PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multi-disciplinary environments.
• PO12: Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAM SPECIFIC OUTCOMES (PSOs):

• Ability to design and develop intelligent robotic systems integrating hardware, control, and AI components to address real-world engineering challenges.
• Ability to apply AI techniques, machine learning, and data-driven methods to automate and optimize robotic and mechatronic systems.
• Ability to create innovative, ethically informed robotic and AI solutions for societal benefit by leveraging interdisciplinary knowledge and life-long learning.

6. Career Opportunities After Course Completion

Graduates of this B.Tech in Robotics & AI programme will be well positioned for a diverse range of career paths, including but not limited to:

• Robotics Engineer / Automation Engineer
• AI/ML Engineer for robotics and autonomous systems
• Embedded Systems Engineer (robotics platforms, IoT devices)
• Autonomous Systems Developer (drones/AGVs/robotic vehicles)
• Research Associate in robotics, AI, human-robot interaction, cyber-physical systems
• Product Development Engineer in startup or established firms working on intelligent machines, robotic solutions or AI-enabled automation
• Entrepreneur/Startup founder in robotics/AI, creating new products or services (e.g., service robots, automation for agriculture/logistics)
• Further studies: M.Tech / PhD in robotics, artificial intelligence, automation, mechatronics, machine learning, control systems
• Roles in service sectors: healthcare robotics, assistive robotics, logistics automation, warehouse robotics, smart home systems
  The demand for robotics & AI professionals is growing globally, especially with the rise of Industry 4.0, IoT, smart manufacturing and autonomous systems.

7. Why Choose NCU BTech Robotics and AI

• NCU, Gurugram is a well-established private university with strong engineering credentials, a modern campus, and a clear industry-oriented focus.
• The School of Engineering & Technology (SOET) at NCU follows outcome-based education and strongly emphasises research, project work, and industry internships.
• The location in Gurugram (NCR) gives students proximity to a major industrial and startup ecosystem, which boosts opportunities for internships, placements, and real-world collaboration.
• NCU offers global exposure through international partnerships and student exchange programs, helping you build a truly global perspective.
• Their placement ecosystem is strong — the university offers continuous career support, and students have access to top recruiters and diverse roles in tech, AI, automation, and more.
• Flexibility in learning: The BTech programme allows you to choose electives, engage in major projects, and specialize in areas like autonomous systems, smart manufacturing, or service robotics — helping you carve your own niche.