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M-TECH in Instrumentation Control Engineering at SRM Institute of Science and Technology (Deemed to be University)
Chengalpattu, Tamil Nadu
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About the Specialization
What is Instrumentation & Control Engineering at SRM Institute of Science and Technology (Deemed to be University) Chengalpattu?
This Instrumentation & Control Engineering program at Sri Ramaswamy Memorial Institute of Science and Technology focuses on equipping students with advanced knowledge in designing, analyzing, and maintaining complex instrumentation and control systems. It is tailored to meet the evolving demands of Indian industries, emphasizing automation, smart sensors, IoT, and process optimization. The program distinguishes itself through its blend of theoretical rigor and practical application in real-world industrial scenarios, preparing graduates for key roles in the rapidly growing manufacturing, energy, and automotive sectors.
Who Should Apply?
This program is ideal for engineering graduates with a background in ECE, EIE, ICE, EEE, or Mechatronics who aspire to build a career in industrial automation, process control, or embedded systems. It also caters to working professionals seeking to upskill in cutting-edge control technologies and IoT, enabling them to transition into more specialized and leadership roles within their organizations. Fresh M.Sc. graduates in Physics or Electronics fields can also find a pathway to an industrial career through this specialization, provided they meet specific prerequisites.
Why Choose This Course?
Graduates of this program can expect to secure roles such as Automation Engineer, Control Systems Engineer, Instrumentation Engineer, R&D Engineer, or IoT Solutions Architect in India. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 8-15+ LPA in top companies. The program prepares students for leadership in industrial automation, smart manufacturing, and process industries, aligning with professional certifications like Certified Automation Professional (CAP) or functional safety certifications, offering significant growth trajectories in the Indian market.
Student Success Practices
Foundation Stage
Master Core Control Principles- (undefined)
Dedicate time to thoroughly understand advanced process control and industrial instrumentation concepts through textbooks, online courses (e.g., NPTEL lectures), and solving practice problems. Focus on the mathematical foundations and practical applications.
Tools & Resources
NPTEL courses on Control Systems, MATLAB/Simulink for simulations, Textbooks by Ogata and Stephanopoulos
Career Connection
A strong grasp of fundamentals is crucial for solving real-world control problems and excelling in technical interviews for R&D and design roles.
Hands-on Lab Competency in Automation- (undefined)
Actively participate in PLC, SCADA, and advanced instrumentation labs. Go beyond basic exercises by exploring different programming paradigms, troubleshooting techniques, and integrating multiple systems. Seek opportunities to assist faculty with lab setup or projects.
Tools & Resources
Allen-Bradley/Siemens PLC trainers, LabVIEW, SCADA software platforms (e.g., Wonderware)
Career Connection
Practical skills in industrial automation are highly valued by employers, directly impacting employability for roles like Automation Engineer and Systems Integrator.
Engage in Technical Workshops and Seminars- (undefined)
Attend workshops organized by the department or industry experts on emerging topics like Industry 4.0, IoT in industrial settings, or advanced sensor technologies. Network with speakers and professionals to gain insights into current industry trends.
Tools & Resources
Departmental notice boards, IEEE events, Industry association seminars (e.g., ISA)
Career Connection
Staying updated with latest technologies enhances your profile and opens doors to specialized roles, showing proactive learning to potential employers.
Intermediate Stage
Develop Specialization in Elective Areas- (undefined)
Beyond coursework, delve deeper into your chosen elective subjects like Machine Learning for Control or Advanced Robotics. Complete online certifications, undertake mini-projects, or join research groups related to these specialized fields.
Tools & Resources
Coursera/edX courses (e.g., ''''Deep Learning for Robotics''''), Python libraries (TensorFlow, PyTorch), Robotics simulation software (ROS, Gazebo)
Career Connection
Deep specialization makes you a strong candidate for niche roles in AI-driven control, robotics, or advanced instrumentation R&D, commanding higher salaries.
Pursue Industrial Internships- (undefined)
Actively seek and complete industrial internships during semester breaks. Focus on companies in core sectors like manufacturing, energy, or automation solution providers. Aim to gain exposure to real industrial processes, control room operations, or system integration projects.
Tools & Resources
SRMIST Placement Cell, LinkedIn, Company career portals (Siemens, L&T, Honeywell)
Career Connection
Internships provide invaluable industry experience, build professional networks, and often lead to pre-placement offers, significantly boosting placement prospects.
Participate in Technical Competitions/Hackathons- (undefined)
Form teams and participate in inter-college or national-level technical competitions focused on robotics, automation, IoT solutions, or control system design. This fosters problem-solving skills, teamwork, and innovative thinking.
Tools & Resources
Smart India Hackathon, Robotics competitions (e.g., Techfest), Departmental clubs
Career Connection
Winning or even participating demonstrates practical application skills and initiative, making your resume stand out to recruiters looking for proactive and skilled candidates.
Advanced Stage
Excel in Major Project Implementation- (undefined)
Focus intensely on your Major Project Phase II, ensuring it addresses a real-world industrial problem. Aim for a publishable outcome, whether it''''s a journal paper, a patent application, or a fully functional prototype. Collaborate with industry mentors if possible.
Tools & Resources
SRMIST Research & Projects Department, Faculty mentors, Access to specialized lab equipment
Career Connection
A successful and well-documented major project is a powerful portfolio piece for showcasing your research, problem-solving, and implementation skills to potential employers or for pursuing further research.
Intensive Placement Preparation- (undefined)
Engage in rigorous preparation for placements, including aptitude tests, technical rounds, and HR interviews. Practice coding, review core engineering concepts, and participate in mock interviews. Tailor your resume and cover letter to specific company requirements.
Tools & Resources
SRMIST Career Development Centre, Online aptitude platforms (IndiaBix), GeeksforGeeks, Mock interview sessions
Career Connection
Thorough preparation is paramount for securing desirable job offers, leading to successful entry into the industry in roles matching your specialization and aspirations.
Build a Professional Network and Personal Brand- (undefined)
Attend industry conferences, connect with alumni, and build an active professional presence on platforms like LinkedIn. Showcase your project work, skills, and certifications. Seek mentorship from experienced professionals in your field.
Tools & Resources
LinkedIn, Professional bodies (ISA, IEEE), SRMIST Alumni Network
Career Connection
A strong professional network can open doors to unadvertised job opportunities, mentorship, and career advancement, providing a long-term advantage in the competitive Indian job market.
Program Structure and Curriculum
Eligibility:
- B.E. / B.Tech. in ECE/EIE/ICE/EEE/Aeronautical/Automobile/Mechatronics/Instrumentation/Electrical/Manufacturing/Chemical/Mechanical/Robotics or M.Sc. in Physics/Electronics/Applied Electronics/Instrumentation/Industrial Electronics with a minimum aggregate of 50% in the undergraduate examination.
Duration: 4 semesters / 2 years
Credits: 70 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PEC101 | Advanced Process Control | Core | 3 | Review of Classical Control, State-Space Analysis, Nonlinear Control, Adaptive Control, Optimal Control, Process Identification |
| PEC102 | Advanced Industrial Instrumentation | Core | 3 | Sensors and Transducers, Signal Conditioning, Smart Instruments, Analytical Instrumentation, Industrial Control Valves, Data Acquisition |
| PMA101 | Applied Mathematics for Engineers | Core | 4 | Matrix Algebra, Probability and Statistics, Numerical Methods, Transform Techniques, Optimization |
| PIC101 | Research Methodology & IPR | Core | 3 | Research Design, Data Analysis Techniques, Report Writing, Intellectual Property Rights, Patenting Process |
| ELA101 | Industrial Automation & PLC Lab | Lab | 2 | PLC Programming, HMI/SCADA Systems, Industrial Networks, Robot Programming Basics, Process Simulation |
| ELD101 | Advanced Instrumentation Lab | Lab | 2 | Sensor Characteristics, Transducer Interfacing, PID Controller Tuning, Data Acquisition Systems, Virtual Instrumentation |
| PEC103 | Digital Signal Processing for Instrumentation | Elective I (Example) | 3 | Discrete-time Signals, Z-Transform, FIR and IIR Filters, DFT/FFT, Digital Filter Design |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PEC106 | Industrial Data Networks and IoT | Core | 3 | Fieldbus Technologies, Industrial Ethernet, Wireless Sensor Networks, IoT Architectures, SCADA Communication, Cyber Physical Systems |
| PEC107 | Analytical and Biomedical Instrumentation | Core | 3 | Spectroscopic Methods, Chromatographic Techniques, pH and Conductivity Measurement, ECG/EEG, Medical Imaging Systems |
| PIC102 | Sustainable Engineering | Core | 3 | Environmental Impact Assessment, Green Technologies, Renewable Energy Systems, Waste Management, Sustainable Practices |
| PEC108 | Modern Control Systems | Elective II (Example) | 3 | State-space Representation, Controllability and Observability, Pole Placement Design, Observer Design, Linear Quadratic Regulator |
| PEC113 | Virtual Instrumentation | Elective III (Example) | 3 | LabVIEW Environment, Data Acquisition Hardware, Instrument Control, Signal Generation, Data Analysis and Presentation |
| ELA102 | Advanced Control Systems Lab | Lab | 2 | PID Controller Implementation, System Identification, State-space Control Experiments, Optimal Control Simulation, Process Modeling |
| ELD102 | Industrial Data Networks & IoT Lab | Lab | 2 | PLC Communication Protocols, SCADA Integration, IoT Device Deployment, Cloud Data Logging, Network Security |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PEC201 | Major Project Phase I | Project | 6 | Literature Review, Problem Identification, System Design, Methodology Development, Project Proposal |
| PEC204 | Machine Learning for Control | Elective IV (Example) | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks for Control, Predictive Control |
| PEC207 | Instrumentation System Design | Elective V (Example) | 3 | Sensor and Actuator Selection, Control Loop Design, Alarm and Safety Systems, System Reliability, Project Management |
| PEC210 | Advanced Robotics | Elective VI (Example) | 3 | Robot Kinematics and Dynamics, Path Planning Algorithms, Robot Vision Systems, Force Control, Human-Robot Collaboration |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PEC202 | Major Project Phase II | Project | 12 | System Implementation, Experimental Validation, Data Analysis, Thesis Writing, Project Defense |
