.png&w=1920&q=75)
B-TECH in Robotics And Automation at Symbiosis International University
Pune, Maharashtra
.png&w=1920&q=75)
About the Specialization
What is Robotics and Automation at Symbiosis International University Pune?
This Robotics and Automation program at Symbiosis International University focuses on integrating mechanical, electrical, computer science, and control engineering principles to design, develop, and operate intelligent automated systems. India''''s burgeoning manufacturing, healthcare, and logistics sectors are experiencing a significant demand for automation solutions, making this specialization highly relevant for the nation''''s industrial future. The program distinguishes itself by combining theoretical foundations with extensive practical exposure to cutting-edge robotic technologies.
Who Should Apply?
This program is ideal for ambitious fresh graduates holding a 10+2 qualification with strong foundational knowledge in Physics, Chemistry, and Mathematics, eager to delve into the fascinating world of robotics. It also serves as an excellent pathway for working professionals with an engineering background looking to upskill in automation, or career changers transitioning into the high-growth robotics industry. Candidates should possess a keen interest in problem-solving, system design, and the application of artificial intelligence in real-world scenarios.
Why Choose This Course?
Graduates of this program can expect diverse and rewarding career paths in India, including roles such as Robotics Engineer, Automation Specialist, Mechatronics Engineer, AI/ML Engineer for Robotics, or Research Scientist. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning upwards of INR 10-25 LPA in prominent Indian and multinational companies. The program prepares students for roles in manufacturing, automotive, aerospace, healthcare, and defense sectors, aligning with industry certifications in industrial automation and specific robot platforms.
Student Success Practices
Foundation Stage
Master Foundational Sciences and Programming- (Semester 1-2)
Dedicate significant effort to understanding core engineering mathematics, physics, and chemistry. Simultaneously, build strong programming logic and syntax proficiency in C/C++ by consistently solving problems and implementing algorithms.
Tools & Resources
NPTEL courses for core subjects, HackerRank, LeetCode, MIT OpenCourseware
Career Connection
Strong fundamentals are critical for advanced robotics concepts and are heavily tested in technical interviews for core engineering roles.
Engage in Early Hardware/Software Projects- (Semester 1-2)
Beyond coursework, initiate small self-driven projects using basic microcontrollers (e.g., Arduino, Raspberry Pi) and sensors. Focus on understanding the interface between hardware and software, even simple tasks like blinking an LED or reading sensor data.
Tools & Resources
Arduino IDE, Python with Raspberry Pi, Online tutorials, Local electronics hobby shops
Career Connection
Develops practical problem-solving skills, basic system integration, and sparks early interest in robotics application, making you stand out in internship applications.
Cultivate Strong Study Habits and Peer Learning- (Semester 1-2)
Establish a consistent study routine, actively participate in class discussions, and form study groups. Regularly review concepts and teach peers to solidify your understanding. Seek help from faculty or seniors when facing challenges.
Tools & Resources
Academic calendars, Library resources, Dedicated study spaces, University-organized tutoring/mentoring programs
Career Connection
Builds discipline, communication skills, and teamwork, essential for collaborative engineering projects and professional success.
Intermediate Stage
Deep Dive into Robotics Fundamentals and Simulation- (Semester 3-5)
Focus intently on core robotics subjects like Kinematics, Control Systems, Microcontrollers, and AI fundamentals. Actively use simulation tools to visualize and test robotic behaviors before physical implementation, understanding the theoretical underpinnings.
Tools & Resources
MATLAB/Simulink, CoppeliaSim, Gazebo, Proteus for circuit simulation, Official textbooks
Career Connection
Develops expertise in specific robotics domains, which are direct requirements for specialized roles in R&D or automation companies.
Seek Internships and Industry Exposure- (Semester 4-5 (during breaks))
Actively apply for summer internships or industrial training programs in robotics, automation, or related fields. Look for opportunities in manufacturing units, R&D centers, or tech startups. Engage with industry professionals and expand your network.
Tools & Resources
College placement cell, LinkedIn, Internshala, Industry specific job portals, Career fairs
Career Connection
Provides invaluable real-world experience, helps clarify career interests, and significantly boosts resume value for final placements.
Participate in Robotics Competitions and Workshops- (Semester 3-5)
Join university robotics clubs and actively participate in national or international robotics competitions (e.g., Robocon, ABU Robocon, VEX Robotics). Attend workshops on new technologies like ROS, advanced AI, or specific robotic platforms.
Tools & Resources
Robotics club facilities, Competition guidelines, Open-source robotics software, Industry-led workshops
Career Connection
Develops hands-on project management, teamwork, problem-solving under pressure, and demonstrates passion, which are highly attractive to employers.
Advanced Stage
Specialize through Advanced Projects and Electives- (Semester 6-8)
Choose electives aligning with your career interests (e.g., Deep Learning, Robot Operating System, Field Robotics). Work on a substantial Capstone Project that integrates multiple aspects of robotics and automation, aiming for a novel solution or significant improvement.
Tools & Resources
ROS, OpenCV, TensorFlow/PyTorch, CAD software (SolidWorks, Fusion 360), Simulation environments
Career Connection
Builds a strong portfolio demonstrating expertise in a niche area, making you a specialist for target roles in advanced robotics or R&D.
Prepare for Placements and Technical Interviews- (Semester 7-8)
Begin intensive preparation for campus placements early. Focus on revising core concepts, practicing aptitude tests, and mock interviews. Develop strong communication skills for technical discussions and presentations. Tailor your resume and cover letter for specific roles.
Tools & Resources
Placement cell resources, Online aptitude platforms (e.g., IndiaBix), Interview preparation guides, Professional mentors
Career Connection
Directly impacts success in securing desirable job offers from top companies, ensuring a smooth transition from academics to industry.
Network with Alumni and Industry Leaders- (Semester 6-8)
Actively engage with alumni working in the robotics and automation sector through LinkedIn, university events, and professional conferences. Seek mentorship and insights into industry trends and career opportunities.
Tools & Resources
LinkedIn, University alumni network portals, Industry conferences (e.g., India Automation Technology Fair)
Career Connection
Opens doors to referrals, hidden job opportunities, and valuable career guidance, helping in long-term professional growth and leadership development.
Program Structure and Curriculum
Eligibility:
- 10+2 (or equivalent) examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Biotechnology/Biology/Technical Vocational subject/Computer Science/Information Technology/Informatics Practices/Agriculture/Engineering Graphics/Business Studies with minimum 45% marks (40% for SC/ST) in the above subjects taken together. Valid JEE (Main) / MHT-CET / SITEEE score.
Duration: 8 semesters / 4 years
Credits: 176 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA101 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Laplace Transform, Applications of Calculus |
| RA102 | Engineering Physics | Core | 3 | Wave Optics, Lasers, Quantum Mechanics, X-rays, Nanoscience |
| RA103 | Engineering Chemistry | Core | 3 | Water Technology, Instrumental Methods of Analysis, Electrochemical Systems, Corrosion, Polymers |
| RA104 | Programming for Problem Solving | Core | 3 | C Programming Basics, Control Structures, Functions, Arrays, Pointers, Structures |
| RA105 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Auto-CAD |
| RA106 | Basic Electrical and Electronics Engineering | Core | 3 | DC Circuits, AC Circuits, Diodes and Transistors, Operational Amplifiers, Digital Electronics Fundamentals |
| RA107 | Engineering Physics Lab | Lab | 1 | Experiments on Optics, Electricity, Mechanics |
| RA108 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Instrumental Analysis, Chemical Synthesis |
| RA109 | Programming for Problem Solving Lab | Lab | 1 | C Programming exercises, Debugging |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA201 | Engineering Mathematics-II | Core | 4 | Multivariable Calculus, Vector Calculus, Complex Numbers, Probability and Statistics |
| RA202 | Data Structures | Core | 3 | Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting and Searching |
| RA203 | Engineering Mechanics | Core | 3 | Statics of Particles, Rigid Bodies, Friction, Centroid and Moment of Inertia, Kinematics and Kinetics |
| RA204 | Object Oriented Programming | Core | 3 | OOP Concepts, Classes and Objects, Inheritance, Polymorphism, Exception Handling, File I/O |
| RA205 | Digital Electronics | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memories, ADC/DAC |
| RA206 | Data Structures Lab | Lab | 1 | Implementation of data structures, Algorithm analysis |
| RA207 | Object Oriented Programming Lab | Lab | 1 | Java/C++ programming exercises, Object-oriented design |
| RA208 | Digital Electronics Lab | Lab | 1 | Experiments with logic gates, Flip-flops, Counters |
| RA209 | Constitution of India | Audit | 0 | Preamble, Fundamental Rights, Directive Principles, Union & State Legislature, Judiciary |
| RA210 | Environmental Studies | Audit | 0 | Ecosystems, Biodiversity, Environmental Pollution, Natural Resources, Social Issues and Environment |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA301 | Engineering Mathematics-III | Core | 4 | Linear Algebra, Numerical Methods, Fourier Series and Transforms, Partial Differential Equations |
| RA302 | Discrete Structures | Core | 3 | Set Theory, Logic, Relations and Functions, Graph Theory, Algebraic Structures |
| RA303 | Circuit Theory | Core | 3 | Network Theorems, Transient Analysis, Resonant Circuits, Two-Port Networks, Filters |
| RA304 | Analog Electronics | Core | 3 | BJT & FET Amplifiers, Feedback Amplifiers, Oscillators, Power Amplifiers, Voltage Regulators |
| RA305 | Sensors and Instrumentation | Core | 3 | Transducers, Sensors (temperature, pressure, proximity), Signal Conditioning, Data Acquisition Systems, Measurement Errors |
| RA306 | Material Science | Core | 3 | Crystal Structures, Mechanical Properties of Materials, Phase Diagrams, Composites, Ceramics, Polymers |
| RA307 | Circuit Theory Lab | Lab | 1 | Verification of network theorems, Transient response analysis |
| RA308 | Analog Electronics Lab | Lab | 1 | Design and testing of amplifiers, Oscillators |
| RA309 | Sensors and Instrumentation Lab | Lab | 1 | Experiments with various sensors, Data acquisition systems |
| RA310 | Mini Project – I | Project | 2 | Problem identification, Design thinking, Implementation, Testing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA401 | Microcontrollers and Embedded Systems | Core | 3 | 8051 Microcontroller Architecture, Assembly Language, Peripherals, Interfacing, Embedded C |
| RA402 | Signals and Systems | Core | 3 | Signal Classification, LTI Systems, Fourier Transform, Laplace Transform, Z-Transform, Sampling |
| RA403 | Control Systems | Core | 3 | System Modeling, Transfer Functions, Block Diagrams, Stability Analysis (Routh-Hurwitz, Nyquist), Root Locus, PID Controllers |
| RA404 | Data Communication and Networking | Core | 3 | OSI Model, TCP/IP, Network Topologies, Data Link Control, Wireless Communication, Network Security |
| RA405 | Kinematics and Dynamics of Machinery | Core | 3 | Mechanisms, Kinematic Chains, Velocity and Acceleration Analysis, Force Analysis, Gears, Cams |
| RA406 | Object-Oriented Design and Analysis | Core | 3 | UML, Design Patterns, Use Cases, Class Diagrams, Sequence Diagrams, Software Testing |
| RA407 | Microcontrollers and Embedded Systems Lab | Lab | 1 | 8051 programming, Interfacing sensors/actuators |
| RA408 | Control Systems Lab | Lab | 1 | PID tuning, System response analysis |
| RA409 | Skill Development | Elective | 1 | Professional Communication, Aptitude Training, Soft Skills |
| RA410 | Mini Project – II | Project | 2 | Project planning, Execution, Documentation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA501 | Artificial Intelligence | Core | 3 | AI Principles, Search Algorithms, Knowledge Representation, Machine Learning Basics, Expert Systems, Robotics AI |
| RA502 | Mechatronics Systems Design | Core | 3 | Mechatronics Design Process, Sensors, Actuators, Microprocessors, PLC, System Integration |
| RA503 | Robotics | Core | 3 | Robot Kinematics (Forward, Inverse), Dynamics, Trajectory Planning, Actuators, Sensors in Robotics, Robot Control |
| RA504 | Human Robot Interaction | Core | 3 | HRI Fundamentals, User Interfaces, Safety in HRI, Social Robotics, Teleoperation, Human-Robot Collaboration |
| RA505A | Power Electronics (Elective - I) | Elective | 3 | Power Devices, Converters (AC-DC, DC-DC, DC-AC), Inverters, Motor Drives, Power Control |
| RA506 | Robotics Lab | Lab | 1 | Robot programming, Kinematics experiments, Sensor integration |
| RA507 | Mechatronics Systems Design Lab | Lab | 1 | PLC programming, Pneumatic/hydraulic systems, System modeling |
| RA508 | Artificial Intelligence Lab | Lab | 1 | AI search algorithms implementation, ML model implementation |
| RA509 | Internship / Industrial Training | Core | 4 | Practical industry exposure, Project implementation, Report writing, Professional ethics |
| RA510 | Universal Human Values | Audit | 0 | Self-exploration, Human relationship, Family & Society, Ethics, Holistic Vision |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA601 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Deep Learning Basics |
| RA602 | Industrial Automation | Core | 3 | PLC, SCADA, DCS, Industrial Sensors & Actuators, Industrial Networks (Profibus, Modbus), Safety Systems |
| RA603 | Computer Vision for Robotics | Core | 3 | Image Processing Fundamentals, Feature Extraction, Object Recognition, Stereo Vision, SLAM, Vision-based control |
| RA604 | Real-time Operating Systems | Core | 3 | RTOS Concepts, Task Scheduling, Interrupt Handling, Resource Management, Synchronization, Embedded Linux |
| RA605B | Robot Operating System (ROS) (Elective - II) | Elective | 3 | ROS Architecture, Nodes, Topics, Services, Messages, Gazebo Simulation, ROS Navigation Stack, RViz |
| RA606 | Industrial Automation Lab | Lab | 1 | PLC programming, SCADA implementation |
| RA607 | Machine Learning Lab | Lab | 1 | ML algorithm implementation, Dataset analysis |
| RA608 | Computer Vision for Robotics Lab | Lab | 1 | Image processing operations, Object detection, SLAM algorithms |
| RA609 | Project-based Learning (PBL) | Project | 4 | Project conceptualization, Design, Prototyping, Testing, Presentation |
| RA610 | Entrepreneurship | Audit | 0 | Innovation, Business Plan, Startup Ecosystem, Funding, Marketing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA701 | Deep Learning for Robotics | Core | 3 | Convolutional Neural Networks, Recurrent Neural Networks, Reinforcement Learning for Robotics, Generative Models, Transfer Learning |
| RA702 | Design of Robotic Systems | Core | 3 | Robot Mechanism Design, Actuator Selection, Sensor Integration, Power Systems, Industrial Design, Safety Standards |
| RA703A | Field Robotics (Elective - III) | Elective | 3 | Mobile Robot Navigation, Path Planning, Localization, SLAM in outdoor environments, Autonomous Vehicles |
| RA704A | Internet of Robotic Things (Elective - IV) | Elective | 3 | IoT Architecture, Cloud Robotics, Edge Computing, Data Security for Robotics, Robot-Cloud Integration |
| RA705 | Deep Learning for Robotics Lab | Lab | 1 | CNN/RNN implementation, Reinforcement learning agents |
| RA706 | Robotics System Design Lab | Lab | 1 | Mechanical design simulation, Prototyping, Component selection |
| RA707 | Capstone Project - I | Project | 5 | Advanced project development, Research methodology, Critical analysis, Partial implementation and validation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RA801A | Robot Vision and Perception (Elective - V) | Elective | 3 | Advanced image sensors, Object tracking, 3D perception, Multi-sensor fusion, Scene understanding |
| RA802A | Robotic Manipulation (Elective - VI) | Elective | 3 | Gripper design, Grasp planning, Force control, Compliant motion, Dexterous manipulation |
| RA803 | Capstone Project - II | Project | 9 | Comprehensive project completion, Testing and validation, Thesis writing, Final presentation, Innovation and commercialization potential |
