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M-TECH in Mechatronics Engineering at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Mechatronics Engineering at SRM Institute of Science and Technology Chengalpattu?
This Mechatronics Engineering program at SRM Institute of Science and Technology focuses on integrating mechanical, electrical, computer, and control engineering. It addresses the growing need for multi-disciplinary engineers in Indian industries, enabling the design and development of intelligent products and automated systems. The program emphasizes practical applications and research in areas like robotics, automation, and smart manufacturing.
Who Should Apply?
This program is ideal for engineering graduates with a background in mechanical, electronics, electrical, or computer science who aspire to work on advanced automation and intelligent systems. It caters to fresh graduates seeking entry into R&D roles in manufacturing, automotive, and aerospace sectors, as well as working professionals aiming to upgrade their skills for Industry 4.0 challenges.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as Robotics Engineers, Automation Specialists, Design Engineers, and R&D Scientists. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The strong curriculum prepares students for leadership roles in smart factory implementations and product innovation within Indian and global MNCs.
Student Success Practices
Foundation Stage
Master Core Mechatronics Concepts- (Semester 1-2)
Dedicate time to thoroughly understand the foundational principles of robotics, control systems, and sensors. Utilize course materials, textbooks, and online resources like NPTEL courses to build a strong theoretical base. Actively participate in lab sessions to reinforce practical understanding.
Tools & Resources
NPTEL courses on Robotics and Control, Matlab/Simulink tutorials, Textbooks like ''''Control Systems Engineering'''' by Norman S. Nise
Career Connection
A solid foundation is crucial for cracking technical interviews for core engineering roles and excelling in subsequent advanced courses and projects.
Develop Programming and Simulation Skills- (Semester 1-2)
Focus on enhancing programming proficiency in languages like Python or C++ for robotics and control applications. Simultaneously, gain hands-on experience with simulation tools for validating theoretical concepts and designing mechatronic systems. Participate in coding challenges.
Tools & Resources
Python/C++ programming tutorials, ROS (Robot Operating System) tutorials, Open-source simulation software like Gazebo or CoppeliaSim
Career Connection
Proficiency in programming and simulation is highly valued in R&D and automation roles, enabling quick prototyping and testing of complex systems.
Engage in Technical Seminars and Workshops- (Semester 1-2)
Actively participate in departmental technical seminars, guest lectures, and workshops focusing on emerging trends in mechatronics. Present findings from literature reviews or mini-projects to improve communication and presentation skills.
Tools & Resources
Departmental seminar series, IEEE/SAE student chapters, Online platforms for technical webinars
Career Connection
This practice builds communication skills, broadens technical knowledge, and helps identify potential areas for future specialization and project work.
Intermediate Stage
Undertake Mini-Projects and Internships- (Semester 2-3)
Apply theoretical knowledge by working on mini-projects, either independently or in teams. Seek out internships during semester breaks at companies involved in automation, robotics, or smart manufacturing to gain industry exposure and practical experience.
Tools & Resources
Arduino/Raspberry Pi kits, 3D printing facilities, LinkedIn for internship search, College placement cell
Career Connection
Practical project experience and internships are critical for building a strong resume, understanding industry workflows, and securing good placements.
Specialize in Elective Domains- (Semester 2-3)
Carefully choose professional and cross-disciplinary electives based on career interests, whether it''''s AI/ML, industrial IoT, or advanced manufacturing. Deep dive into these chosen domains through advanced readings, online courses, and specialized projects.
Tools & Resources
Coursera/edX for specialized courses, Research papers on IEEE Xplore/Scopus, Software tools relevant to chosen electives
Career Connection
Specialization helps in targeting specific job roles and standing out in competitive job markets, aligning skills with high-demand industry requirements.
Network with Industry Professionals and Alumni- (Semester 2-3)
Attend industry conferences, tech expos, and alumni meets to network with professionals in the mechatronics field. These connections can provide insights into industry trends, mentorship opportunities, and potential job leads.
Tools & Resources
LinkedIn Professional Network, Industry association events (e.g., FICCI, CII), Alumni networking events
Career Connection
Strong professional networks often lead to better internship opportunities, valuable career advice, and direct referrals for job openings.
Advanced Stage
Excel in Project Work (Phase I & II)- (Semester 3-4)
Focus intently on the M.Tech project, selecting a challenging problem relevant to current industry needs or research gaps. Develop a robust methodology, execute diligently, and ensure high-quality documentation and presentation for both phases.
Tools & Resources
Project management software, Advanced simulation tools (ANSYS, SolidWorks), Academic writing guides
Career Connection
A strong Master''''s thesis/project is a cornerstone for demonstrating advanced problem-solving skills, critical for R&D roles and further academic pursuits (PhD).
Prepare for Placements and Higher Studies- (Semester 3-4)
Engage in rigorous placement preparation, including aptitude tests, group discussions, and mock interviews. Tailor resumes and cover letters to specific job descriptions. For those aiming for higher studies, prepare for competitive exams like UGC NET/GATE if applicable or focus on research publications.
Tools & Resources
Placement training programs, Online aptitude platforms, Interview preparation guides, GRE/TOEFL resources
Career Connection
Effective preparation maximizes chances of securing desirable job offers from top companies or gaining admission to prestigious PhD programs.
Publish Research Findings- (Semester 3-4)
If the project yields significant results, aim to publish a research paper in a reputed conference or journal. This demonstrates research acumen and contributes to the academic community, enhancing credentials for both industry and academia.
Tools & Resources
Scopus/Web of Science for journal identification, IEEE/Springer templates for paper writing, Plagiarism check tools
Career Connection
Publications significantly boost academic profiles, attract attention from recruiters for R&D roles, and are essential for a career in research or academia.
Program Structure and Curriculum
Eligibility:
- B.E/B.Tech in Mechatronics / Mechanical / ECE / EEE / EIE / Instrumentation and Control / Automobile / Aeronautical / Production / Manufacturing / Computer Science and Engineering / Information Technology / Bio Medical / Industrial Engineering or Equivalent. Valid GATE Score is preferred.
Duration: 4 semesters / 2 years
Credits: 70 Credits
Assessment: Internal: 40% (for theory courses), 50% (for practicals), External: 60% (for theory courses), 50% (for practicals)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PME23101 | Robotics and Automation | Core | 3 | Robot Kinematics, Robot Dynamics and Control, Trajectory Planning, Robot Sensors and Actuators, Industrial Robot Applications |
| PME23102 | Advanced Control Systems | Core | 3 | State Space Analysis, Optimal Control Theory, Robust Control Design, Adaptive Control Systems, Nonlinear Control Techniques |
| PME23103 | Sensors and Actuators for Mechatronics | Core | 3 | Sensor Principles and Characteristics, Smart Sensors and Data Acquisition, Pneumatic and Hydraulic Actuators, Electrical Actuators and Drives, Interfacing and Signal Conditioning |
| PME23104 | Research Methodology and IPR | Core | 3 | Research Problem Formulation, Data Collection and Analysis, Technical Report Writing, Intellectual Property Rights, Patent Filing and Trademarks |
| PME23105 | Robotics and Automation Lab | Lab | 1 | Robot Programming and Simulation, Kinematics and Dynamics Experiments, Sensor Integration with Robots, PLC Programming for Automation, Robot Control and Gripping |
| PME23106 | Sensors and Actuators Lab | Lab | 1 | Sensor Characterization and Calibration, Actuator Performance Testing, Data Acquisition Systems, Microcontroller Interfacing, Transducer Signal Conditioning |
| PME23107 | Technical Seminar | Project | 1 | Literature Review Techniques, Technical Presentation Skills, Report Writing Guidelines, Current Trends in Mechatronics, Research Topic Selection |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PME23201 | Advanced Digital Signal Processing | Core | 3 | Discrete-Time Signals and Systems, Z-Transform and DFT, Fast Fourier Transform (FFT), Digital Filter Design, Wavelet Transforms and Applications |
| PME23202 | Industrial Internet of Things | Core | 3 | IIoT Architectures and Protocols, Sensing and Actuation in IIoT, Cloud Platforms for IIoT, Edge Computing and Fog Computing, IIoT Security and Applications |
| PME23E01 | Machine Vision Systems | Elective (Professional Elective I) | 3 | Image Acquisition and Representation, Image Processing Techniques, Feature Extraction and Segmentation, Object Recognition and Classification, Machine Vision Applications |
| PME23E03 | Additive Manufacturing | Elective (Professional Elective II) | 3 | Additive Manufacturing Processes, Materials for AM, Design for Additive Manufacturing, Post-Processing and Characterization, Applications in Mechatronics and Industry |
| PME23203 | Advanced Mechatronics Lab | Lab | 1 | PLC and SCADA Systems, Industrial Robot Control, HMI Development, Pneumatic and Hydraulic Automation, Vision System Integration |
| PME23204 | Mini Project | Project | 2 | Problem Identification and Definition, System Design and Development, Prototyping and Testing, Data Analysis and Interpretation, Technical Report and Presentation |
| PME23205 | Technical Writing and Research Skills | Project | 1 | Scientific Paper Structure, Effective Communication Strategies, Citation and Referencing Styles, Journal and Conference Submissions, Oral Presentation Preparation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PME23E08 | Artificial Intelligence and Machine Learning | Elective (Professional Elective III) | 3 | AI Fundamentals and Search Algorithms, Supervised Learning Techniques, Unsupervised Learning Techniques, Neural Networks and Deep Learning Basics, Reinforcement Learning Concepts |
| PCD2301 | Principles of Data Science | Elective (Cross-Disciplinary Elective I) | 3 | Data Collection and Preprocessing, Exploratory Data Analysis, Statistical Modeling for Data Science, Machine Learning Algorithms Overview, Data Visualization Techniques |
| PME23301 | Project Work Phase – I | Project | 6 | Project Proposal Development, Detailed Literature Review, Methodology and Design Specification, Preliminary Analysis and Simulation, Progress Reporting and Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PME23401 | Project Work Phase – II | Project | 10 | System Implementation and Development, Experimental Validation and Testing, Results Analysis and Interpretation, Thesis Writing and Documentation, Final Project Defense (Viva Voce) |
