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M-TECH in Process Instrumentation at COEP Technological University
Pune, Maharashtra
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About the Specialization
What is Process Instrumentation at COEP Technological University Pune?
This Process Instrumentation program at COEP Technological University focuses on the design, implementation, and maintenance of advanced measurement and control systems crucial for diverse industrial processes. It addresses the increasing demand for skilled engineers in India''''s rapidly growing manufacturing, chemical, and energy sectors, emphasizing smart automation, process optimization, and operational efficiency.
Who Should Apply?
This program is ideal for fresh graduates in instrumentation, electronics, electrical, or chemical engineering seeking entry into core industrial automation and process control roles. It also suits working professionals looking to upskill in cutting-edge instrumentation technologies or career changers aiming to transition into the high-demand field of industrial control and smart manufacturing in India.
Why Choose This Course?
Graduates of this program can expect diverse career paths in process industries, R&D, and automation companies across India. Roles include Process Control Engineer, Automation Specialist, Instrument Design Engineer, or System Integrator, with entry-level salaries typically ranging from INR 4-7 LPA, growing significantly with experience. The program aligns with industry needs, fostering expertise in highly sought-after areas.
Student Success Practices
Foundation Stage
Master Control System Fundamentals- (Semester 1-2)
Dedicate significant time to understanding the theoretical foundations of advanced control systems and process dynamics. Use simulation tools like MATLAB/Simulink extensively for practical understanding of concepts.
Tools & Resources
MATLAB, Simulink, NPTEL courses on Control Systems, Modern Control Engineering by Ogata
Career Connection
A strong theoretical base is crucial for designing and troubleshooting complex industrial control loops, making you a competent control engineer.
Hands-on Lab Skill Development- (Semester 1-2)
Actively participate in all laboratory sessions, focusing on practical implementation of control algorithms using PLCs, DCS, and microcontrollers. Document procedures and observations meticulously.
Tools & Resources
PLC trainers (Siemens, Allen-Bradley), DCS simulators, Arduino/Raspberry Pi for embedded control
Career Connection
Direct experience with industrial hardware and software is highly valued by employers for automation and instrumentation roles.
Engage in Technical Seminars and Workshops- (Semester 1-2)
Actively prepare for and present technical seminars on emerging topics in instrumentation and control. Attend department workshops and guest lectures to broaden your knowledge beyond the curriculum.
Tools & Resources
IEEE Xplore, Scopus, Google Scholar for research papers, department seminar series announcements
Career Connection
Enhances presentation and research skills, keeps you updated with industry trends, and builds confidence for technical interviews.
Intermediate Stage
Specialize through Electives and Mini-Projects- (Semester 3)
Carefully choose electives that align with your career interests within process instrumentation (e.g., advanced measurement, fault diagnosis). Undertake mini-projects or short research assignments leveraging these specialized skills.
Tools & Resources
Specialized software for simulation (e.g., Aspen HYSYS, LabVIEW), industry whitepapers
Career Connection
Develops niche expertise, making you a sought-after specialist in specific areas like industrial analytics or smart sensor development.
Engage in Intensive Project Phase I- (Semester 3)
Actively dedicate yourself to the Dissertation Phase I, focusing on thorough literature review, precise problem formulation, and developing a robust methodology. Engage regularly with your faculty guide for feedback.
Tools & Resources
Research databases (IEEE Xplore, Scopus), academic writing tools, COEP library resources
Career Connection
Establishes strong research fundamentals and project management skills crucial for advanced R&D roles and future academic pursuits.
Industry Interaction via Internships or Workshops- (Summer after Semester 2 / During Semester 3)
Actively seek and participate in short-term internships, industrial training, or specialized workshops relevant to process instrumentation. Network with professionals to understand real-world industrial practices.
Tools & Resources
COEP Placement Cell, LinkedIn, industry association events
Career Connection
Provides practical exposure, bridges the gap between academic knowledge and industry demands, and potentially opens doors for full-time roles.
Advanced Stage
Finalize and Defend High-Impact Dissertation- (Semester 4)
Rigorously complete your Dissertation Phase II, focusing on implementation, data analysis, clear interpretation of results, and comprehensive thesis writing. Prepare meticulously for your final project defense.
Tools & Resources
Advanced simulation/experimental tools, statistical analysis software, LaTeX/Word for thesis writing
Career Connection
A well-executed and defended dissertation is a powerful testament to your specialized knowledge and problem-solving capabilities, crucial for R&D and leadership roles.
Targeted Placement and Career Planning- (Semester 4)
Systematically prepare for campus placements by refining your resume, practicing technical interviews specifically for process instrumentation roles, and preparing for aptitude tests. Attend career counseling sessions.
Tools & Resources
COEP Placement Cell, company-specific technical interview resources, mock interview platforms
Career Connection
Maximizes your chances of securing a desirable placement in leading automation, manufacturing, or consulting firms.
Professional Networking and Continuous Learning- (Semester 4 and beyond)
Actively participate in professional bodies (e.g., ISA student chapter), attend industry webinars, and connect with alumni and experts. Plan for continuous skill upgradation beyond the degree.
Tools & Resources
LinkedIn, ISA Pune Section events, NPTEL/Coursera for advanced topics
Career Connection
Builds a strong professional network for future collaborations and ensures you remain updated with evolving industry technologies, aiding long-term career growth.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. in Instrumentation, Instrumentation & Control, Electronics, Electronics & Telecommunication, Electrical, Electrical & Electronics, Mechanical, Chemical Engineering or equivalent with minimum 50% marks (45% for reserved categories). GATE qualification generally required for admission.
Duration: 4 semesters / 2 years
Credits: 72 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 5IC101 | Advanced Control System Design | Core | 4 | State space analysis, Optimal control, Adaptive control, Robust control, Non-linear control systems |
| 5IC102 | Process Dynamics and Control | Core | 4 | Dynamic models of processes, Feedback control structures, Controller tuning techniques, Advanced control strategies, Multivariable control systems |
| 5IC103 | Sensors and Transducers Design | Core | 4 | Smart sensors, Sensor networks, Advanced transducer principles, Signal conditioning circuits, Sensor calibration and standards |
| 5IC104 | Research Methodology & IPR | Audit | 2 | Research problem formulation, Data collection and analysis, Technical report writing, Intellectual Property Rights, Patents and ethical considerations |
| 5IC105 | Advanced Control System Design Lab | Lab | 2 | MATLAB/Simulink for control design, PLC/DCS programming, Real-time control experiments, System identification techniques, Model Predictive Control implementation |
| 5IC106 | Process Dynamics & Control Lab | Lab | 2 | Process simulation platforms, PID controller tuning methods, Cascade control implementation, Feedforward control strategies, Industrial process control applications |
| 5IC107 | Seminar I | Seminar | 2 | Literature review techniques, Technical presentation skills, Report writing standards, Current research trends, Emerging technologies in control |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 5IC201 | Industrial Automation and Robotics | Core | 4 | PLC, SCADA, DCS systems, Industrial communication protocols, Robot kinematics and dynamics, Robot control architectures, Human-robot interaction |
| 5IC202 | Advanced Digital Signal Processing | Core | 4 | Digital filter design, Spectral estimation methods, Adaptive filtering algorithms, Multirate DSP applications, Real-time DSP systems |
| 5IC203A | Advanced Measurement Techniques | Elective I | 4 | Advanced flow measurement, Level and pressure sensing, Temperature measurement technologies, Analytical instrumentation, Calibration and traceability |
| 5IC204C | Fault Detection and Diagnosis | Elective II | 4 | Statistical process control, Model-based fault detection, Data-driven methods, Diagnostic tools and algorithms, Condition monitoring strategies |
| 5IC205 | Industrial Automation Lab | Lab | 2 | PLC/DCS programming for industrial processes, HMI development and SCADA implementation, Industrial networking configuration, Robot programming and simulation, System integration projects |
| 5IC206 | Advanced DSP Lab | Lab | 2 | MATLAB/Python for DSP algorithms, Real-time audio and image processing, Digital filter implementation, Spectrum analysis and feature extraction, Signal denoising and enhancement |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 5IC301B | System Identification | Elective III | 4 | Non-parametric identification methods, Parametric model structures, Model validation techniques, Experiment design for identification, Recursive identification algorithms |
| 5IC302D | Cyber Physical Systems | Elective IV | 4 | CPS architectures and design principles, Industrial Internet of Things (IIoT), Networked control systems, Security and privacy in CPS, Real-time computing and embedded systems |
| 5IC303 | Dissertation Phase - I | Project | 6 | Problem formulation and definition, Comprehensive literature survey, Methodology development and planning, Experimental setup design, Preliminary results and analysis |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 5IC401 | Dissertation Phase - II | Project | 18 | System implementation and development, Advanced data acquisition and analysis, Result interpretation and validation, Thesis writing and documentation, Project defense and presentation |
