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BTech Robotics and Automation

An industry relevant course to chart your journey in Industry 4.0

Why needed?

The B.Tech in Robotics & Automation at NIIT University (NU) is an interdisciplinary programme designed to prepare students for the rapidly evolving world of intelligent machines and automation. It integrates mechanical engineering, electronics, computer science, and artificial intelligence to create a new generation of engineers who can design, build, and manage autonomous systems across industries.

Students gain hands-on experience through project-based learning, state-of-the-art laboratories, and industry collaborations with leading automation companies. The curriculum covers robotics design, control systems, embedded programming, machine vision, and AI-driven automation, ensuring a strong foundation in both theory and real-world applications.

Through partnerships with industry leaders such as Addverb Technologies, students participate in internships, live projects, and co-created courses that bridge academic knowledge with workplace needs. The programme emphasizes innovation, problem-solving, and ethical technology development — preparing graduates for diverse roles in robotics, manufacturing, logistics, industry automation, and smart infrastructure.

NIIT University introduces flexible curricular architecture through Industry Practice and Research Practice

In keeping with NU’s Core Principle of Industry-linked, BTech Robotics and Automation students undertake a compulsory six-month  Industry Practice (IP)  at the industry site and are jointly supervised by industry and faculty mentors.

Industry Practice (IP) has been widely appreciated by NU’s industry partners with a majority of students been given a pre-placement offer (PPO).  Industry organisations have also expressed interest in longer duration IP.

Further NEP 2020 (National Education Policy 2020) too actively encourages internships with industry to improve employability of students.  It also suggests offering research internship opportunities with faculty researchers in own institution or other institutions and research organisations.  This has been reflected in UGC and AICTE policy and guidelines.

With this in mind, NU provides undergraduate students with three curricular architectures, including a revolutionary 1-Year Research Practice in the place of a single fixed architecture. This gives flexibility to students to craft their own industry/research engagement keeping their preference and motivation by choosing any one of the three curricular architectures.

The three curricular architectures are as follows:

  1. Curricular architecture 1: 6-month Industry Practice in the final eighth semester
  2. Curricular architecture 2: 1-Year Industry Practice spreading across two semesters in the final year
  3. Curricular architecture 3: 1-Year Research Practice spreading across two semesters in the final year

BTech Robotics and Automation – Distinguishing Features

Like all our other flagship programmes, the BTech Robotics and Automation course is designed around NU’s core principles of providing industry-linked, technology-based, research-driven and seamless education.

Our BTech Robotics and Automation programme places you on a high-growth career journey that is both rewarding and fulfilling. Here’s how:

Industry-linked course architecture/curriculum

The curriculum and architecture aim to provide students dual advantages of academic rigor and real-world industry experiences. The curriculum has been developed with inputs from industry experts and faculty researchers. Students work and interact with industry and research institutions from the first year itself.

Industry-academic synergy for real-life immersive learning

The programme provides a comprehensive and immersive learning experience. Students choosing the 6-month Industry Practice track will complete one capstone project, undertake an R&D (Research and Development) project, and have the option to further deepen their work through an Advanced R&D project.

Students opting for the 1-Year Industry Practice or Research Practice track will undertake an R&D project, with the opportunity to extend it into an Advanced R&D project, while engaging in Industry Practice or Research Practice during the final two semesters.

Top-notch faculty

Our Robotics & Automation faculty bring together deep academic expertise and extensive industry experience, creating a powerful blend of theory and practice. With strong research credentials, publications in reputed international journals and conferences, and active involvement in cutting-edge domains such as intelligent robotics, autonomous systems, control engineering, computer vision, AI-driven automation, and Industry 4.0, they mentor students to think innovatively and solve real-world problems. Their commitment to hands-on learning, interdisciplinary research, industry collaboration, and outcome-oriented mentoring ensures that students graduate as highly skilled, future-ready professionals in Robotics & Automation.

State-of-the-art infrastructure

True to its core principle of Technology-based, NU offers high-tech laboratories with all the necessary software and equipment to assist students in their experiential learning journey.

Unique teaching methodology

Several unique teaching methods are integrated into the project-based learning approach at NU. This approach helps students to develop critical thinking skills to engage deeply with subjects, interdisciplinary skills to see connections between subjects, collaborative skills to work as a team to solve a real-life problem. They become independent and self-directed learners who can chart their own learning journey successfully.

Programme outcomes

NU’s undergraduate programmes in Engineering and Management are designed to provide thorough grounding in the respective disciplines, offer a course of work that prepares them for either a professional career or advanced degrees.

NU expects that graduates of the  undergraduate Engineering programmes  will demonstrate the following programme outcomes as defined by NBA (National Board of Accreditation).

PO1

Engineering knowledge

Apply the knowledge of Mathematics, Science, fundamentals of Engineering and an engineering specialisation to the solution of complex engineering problems.

PO2

Problem analysis

Identify, formulate, review research literature, and analyse complex engineering problems to reach substantiated conclusions using first principles of Mathematics, Natural Sciences, and Engineering Sciences.

PO3

Design/Develop solutions

Design solutions for complex engineering problems and system components or processes that meet specified needs with appropriate consideration for public health and safety, and cognisant of 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 synthesise 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 modelling to complex engineering activities with an understanding of the limitations.

PO6

The engineer and society

Apply reasoning informed by 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 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 teamwork

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10

Communication

Communicate effectively on complex engineering activities with the engineering community and with society at large. This includes 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 engineering and management principles and apply these to one’s own work, as a member and/or leader in a team, to manage projects in multidisciplinary environments.

PO12

Life-long learning

Recognise the need for, and have the preparation and ability to, engage in independent and life-long learning in the broadest context of technological change.

PSOs for BTech Robotics and Automation


Graduates of the BTech Robotics and Automation programme will be able to:

PSO1

Apply knowledge of mechanical, electrical, electronics, and computer science fundamentals to model, design, and control robotic systems.

PSO2

Analyze, design, and implement automation solutions by integrating sensors, actuators, controllers, and intelligent algorithms.

PSO3

Develop and deploy robotic and automation systems using modern software tools, programming platforms, and simulation environments.

PSO4

Apply robotics and automation principles to interdisciplinary domains such as manufacturing, agriculture, healthcare, and autonomous systems, ensuring sustainability and safety.

PSO5

Communicate technical concepts effectively and work collaboratively in multidisciplinary teams to solve complex engineering problems and innovate new robotic solutions.

 

Course categoryCredits*
Basic Sciences20
Engineering Sciences09
Professional compulsory105
Industry Practice20
Open Electives12
Humanities and Social Sciences / Activity Oriented  Courses15
Total credits181

* For 6-month Industry Practice

  • Microprocessor & Microcontroller
  • Basic Mechanical Engineering
  • Programming for Robotics
  • Signals & Systems
  • IOT and Sensor Networks
  • Mechatronics Systems Design
  • Digital Image Processing
  • Advanced Embedded Systems
  • Introduction to Linear and Nonlinear Optimization
  • Control Theory
  • Computer Vision
  • Artificial Intelligence
  • Machine Learning
  • Kinematics of the Robotics
  • Database Systems & Cloud Integration
  • Robotics Systems Integration
  • Industrial Control Robotics and Automation
  • Deep Learning and Generative AI
  • Advanced IoT & Edge Computing
  • Power Electronics and Instrumentation
  • Autonomous Systems
  • Advanced Embedded Systems
  • Advanced Digital Signal Processing
  • Wireless Broadband Communications
  • Architecture Protocols and Design Principles of IoT
  • IOT and Sensor Networks
  • Industrial control robotics and Automation
  • Real Time Operating System
  • Kinematics of Robotics
  • Artificial Intelligence
  • Machine Learning
  • Neural Networks and Deep Learning
  • Non-Linear Optical Communication
  • Satellite Communications
  • Advanced VLSI
  • Internet of Things
  • Computer Vision
  • Power Electronics
  • Radar Engineering
  • Cellular and Mobile Communications
  • Advanced Wireless Broadband Communications
  • Artificial Intelligence
  • Artificial Neural Networks
  • Statistical Modeling for Data Science
  • Wireless Sensor Networks and Applications
  • Machine Learning
  • Computational Geometry and Applications
  • Cyber Security
  • Data Mining
  • Introduction to Information Security
  • Natural Language Processing

B Tech Robotics and Automation course architecture – subjects & syllabus with 6-month Industry Practice

Course codeCourseLTPC
MAT 112Calculus3104
EL 111Fundamentals of Electronics3024
 Science I3034
TA 111Fundamentals of Computer Programming2044
TA 202Engineering Graphics/ Workshop Practice2023
TA 2121043
TA 102Communication Skills/HSSM-I2023
 3003
NU 111Community Connect0021
 Total semester L-T-P-C1511022
Course codeCourseLTPC
MAT 101Algebra & Differential Equation3104
 Science II3034
EL 101Digital Logic and Circuit3023
CS 102Data Structures3024
TA 202Engineering Graphics / Workshop Practice2023
TA 2121043
TA 102Communication Skills / HSSM-I2023
 3003
NU 112Community Connect0021
 Total semester L-T-P-C1611022
Course codeCourseLTPC
MAT 221Probability & Random Process3104
EL 202Microprocessor & Microcontroller3024
ME 201Basic Mechanical Engineering3104
CS 2111Programming for Robotics2044
EL 211Signals & Systems3104
EL 332IOT and Sensor Networks3024
 Total semester L-T-P-C173824
Course codeCourseLTPC
ME 202Mechatronics Systems Design3024
EL 302Digital Image Processing3024
EL 312Advanced Embedded Systems3024
CS 4101Introduction to Linear and Nonlinear Optimization3024
EC 302Control Theory3024
 HSSM-II3003
 Total semester L-T-P-C1801023
Course CodeCourse TitleLTPC
CS 4111Computer Vision3024
CS 322Artificial Intelligence3024
CS 4131Machine Learning3024
EL 362Kinematics of the Robotics3024
CS 3101Database Systems & Cloud Integration3024
 HSSM-III3003
 Total Semester L-T-P-C1801023
Course CodeCourse TitleLTPC
EL 382Robotics Systems Integration3024
EL 322Industrial Control Robotics and Automation3024
CS 4341Deep Learning and Generative AI3024
EL 392Advanced IoT & Edge Computing3024
NU 302R & D Project1064
EC 441Power Electronics and Instrumentation3024
 Total Semester L-T-P-C1601624
Course CodeCourse TitleLTPC
 Open Elective – I3024
 Open Elective – II3024
 Open Elective – III3024
EC 461Capstone Project – I1064
EL 451Autonomous Systems3024
 HSSM-IV3003
 Total Semester L-T-P-C1601423
Course codeCourseLTPC
NU 402Industry Practice/Project004020

B Tech Robotics and Automation – Course Architecture – 1 Year IP/RP (Industry Practice/Research Practice)

Course codeCourseLTPC
MAT 112Calculus3104
EL 111Fundamentals of Electronics3024
 Science I3034
TA 111Fundamentals of Computer Programming2044
TA 202Engineering Graphics/ Workshop Practice2023
TA 2121043
TA 102Communication Skills/HSSM-I2023
 3003
NU 111Community Connect0021
 Total semester L-T-P-C1511022
Course codeCourseLTPC
MAT 101Algebra & Differential Equation3104
 Science II3034
EL 101Digital Logic and Circuit3023
CS 102Data Structures3024
TA 202Engineering Graphics / Workshop Practice2023
TA 2121043
TA 102Communication Skills / HSSM-I2023
 3003
NU 112Community Connect0021
 Total semester L-T-P-C1611022
Course codeCourseLTPC
MAT 221Probability & Random Process3104
EL 202Microprocessor & Microcontroller3024
ME 201Basic Mechanical Engineering3104
CS 2111Programming for Robotics2044
EL 211Signals & Systems3104
EL 332IOT and Sensor Networks3024
 Total semester L-T-P-C173824
Course codeCourseLTPC
ME 202Mechatronics Systems Design3024
EL 302Digital Image Processing3024
EL 312Advanced Embedded Systems3024
CS 4101Introduction to Linear and Nonlinear Optimization3024
EC 302Control Theory3024
 HSSM-II3003
 Total semester L-T-P-C1801023
Course CodeCourse TitleLTPC
CS 4111Computer Vision3024
CS 322Artificial Intelligence3024
CS 4131Machine Learning3024
EL 362Kinematics of the Robotics3024
CS 3101Database Systems & Cloud Integration3024
 HSSM-III3003
 Total Semester L-T-P-C1801023
Course CodeCourse TitleLTPC
EL 382Robotics Systems Integration3024
EL 322Industrial Control Robotics and Automation3024
CS 4341Deep Learning and Generative AI3024
EL 392Advanced IoT & Edge Computing3024
NU 302R & D Project1064
EC 441Power Electronics and Instrumentation3024
 Total Semester L-T-P-C1601624
Course CodeCourse TitleLTPC
 Open Elective – I3024
 Open Elective – II3024
NU 421Industry Practice-I/Research Practice-I002412
 Total Semester L-T-P-C60420
Course codeCourseLTPC
NU 402Industry Practice-II/Research Practice-II004020

FAQs

Robotics & Automation is transforming industries worldwide through intelligent machines, autonomous systems, AI-driven manufacturing, smart logistics, healthcare robotics, drones, and Industry 4.0 technologies. As industries move toward digital transformation, the demand for engineers who can design, integrate, and manage intelligent automated systems is growing rapidly.

Robotics & Automation is a highly interdisciplinary domain that combines:

  • Electronics & Communication
  • Computer Science & AI
  • Mechanical Systems
  • Control Engineering
  • Embedded Systems
  • IoT & Sensor Technologies

Students learn how hardware, software, AI, and intelligent control systems work together to create autonomous systems.

Graduates can explore diverse career opportunities such as:

  • Robotics Engineer
  • Automation Engineer
  • Embedded Systems Engineer
  • AI & Autonomous Systems Engineer
  • Industrial Automation Specialist
  • Control Systems Engineer
  • Computer Vision Engineer
  • IoT Engineer
  • Drone Systems Engineer
  • Mechatronics Engineer
  • Robotics Software Developer
  • R&D Engineer

Students may also pursue higher studies and research in Robotics, AI, Autonomous Systems, or Industry 4.0 domains.

Robotics & Automation professionals are in demand across multiple sectors including:

  • Manufacturing & Smart Factories
  • Automotive & Electric Vehicles
  • Warehousing & Logistics
  • Healthcare & Medical Devices
  • Aerospace & Defence
  • Agriculture Automation
  • Smart Infrastructure & Smart Cities
  • Consumer Robotics
  • Semiconductor & Electronics Industries

The programme is designed around NU’s core principles of:

  • Industry-linked education
  • Technology-based learning
  • Research-driven pedagogy
  • Seamless interdisciplinary education

Key differentiators include:

  • Industry collaborations with companies
  • Industry 4.0-ready laboratories
  • Strong integration of AI, Embedded Systems, IoT, Computer Vision, and Robotics
  • Project-based experiential learning
  • Flexible Industry Practice / Research Practice model
  • Strong focus on emerging technologies and intelligent systems

The curriculum includes:

  • Industrial Robotics
  • AI & Machine Learning
  • Deep Learning & Generative AI
  • IoT & Edge Computing
  • Computer Vision
  • Autonomous Systems
  • Robotics Operating System (ROS)
  • Smart Sensors & Automation

Students work on modern automation and intelligent system technologies widely used in Industry 4.0 environments.

Yes. The programme strongly emphasizes experiential learning through:

  • Robotics and embedded system labs
  • Mini-projects and capstone projects
  • Prototype development
  • Industry projects
  • Research-oriented projects
  • Industry Practice and internships

Students gain exposure to real-world engineering problems from early semesters.

NIIT University offers flexible curricular architecture where students can choose:

  • 6-month Industry Practice
  • 1-Year Industry Practice
  • 1-Year Research Practice

Students work closely with industry or research organizations under joint supervision of faculty and industry mentors. This model significantly improves practical exposure and employability.

No. Robotics & Automation is a balanced combination of:

  • Hardware
  • Software
  • Electronics
  • AI
  • Sensors
  • Control Systems
  • Intelligent Decision Making

Students develop both programming and hardware integration skills.

NU is developing Industry 4.0-ready laboratories equipped for:

  • Robotics & Automation
  • Embedded Systems
  • IoT & Sensor Networks
  • AI & Computer Vision
  • Industrial Automation
  • Control Systems
  • Rapid Prototyping and Product Development

The focus is on application-oriented and hands-on learning.

Absolutely. The interdisciplinary nature of the programme prepares students for:

  • MS/MTech in Robotics, AI, Automation, Mechatronics, Embedded Systems, etc.
  • Research careers in intelligent systems and autonomous technologies
  • Startup and innovation ecosystems
  • PhD and advanced R&D opportunities

Yes. Robotics, AI, autonomous systems, and intelligent automation are expected to play a major role in future industries. Governments and industries worldwide are investing heavily in:

  • Smart manufacturing
  • AI-driven systems
  • Autonomous mobility
  • Defence technologies
  • Healthcare robotics
  • Smart infrastructure

This creates long-term career opportunities for skilled Robotics & Automation engineers.

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