*Program Overview* 

This two-year Master's program blends advanced theory and practical skills in instrumentation, focusing on measurement, control systems, automation, and emerging technologies. The curriculum prepares graduates for roles in industries like manufacturing, healthcare, energy, and aerospace, as well as research.

 

*Core Courses* 

 

*Semester 1* 

1. *Advanced Measurement Techniques* (3 Credits) 

   - Sensors, transducers, signal conditioning, data acquisition, calibration, uncertainty analysis. 

   - Textbook: "Measurement Systems: Application and Design" by E.O. Doebelin. 

 

2. *Advanced Control Systems* (3 Credits) 

   - State-space modelling, digital control, adaptive and optimal control, nonlinear systems. 

   - Textbook: "Modern Control Engineering" by K. Ogata. 

 

3. *Process Instrumentation* (3 Credits) 

   - Flow, pressure, temperature measurement; industrial process control (PID, loop tuning). 

 

4. *Digital Signal Processing for Instrumentation* (3 Credits) 

   - Filter design, spectral analysis, real-time processing. 

   - Tools: MATLAB, LabVIEW. 

 

5. *Measurement and Control Lab* (2 Credits) 

   - Hands-on experiments with sensors, DAQ systems, and PID controllers. 

 

*Semester 2* 

6. *Industrial Automation and Control Systems* (3 Credits) 

   - PLCs, SCADA, DCS, HMI, industrial communication protocols (Modbus, Profibus). 

 

7. *Embedded Systems for Instrumentation* (3 Credits) 

   - Microcontrollers (ARM, PIC), RTOS, sensor-actuator interfacing. 

   - Tools: Arduino, Raspberry Pi. 

 

8. *Analytical Instrumentation* (3 Credits) 

   - Spectroscopy, chromatography, environmental monitoring systems. 

 

9. *Elective I* (3 Credits) 

10. *Embedded Systems Lab* (2 Credits) 

    - Projects on IoT-enabled sensors and real-time data processing. 

 

*Electives (Choose 3–4)* 

- *Robotics and Automation*: Industrial robots, motion control, ROS. 

- *Smart Instrumentation and IoT*: Wireless sensor networks, cloud integration. 

- *Biomedical Instrumentation*: Imaging, biosensors, regulatory standards. 

- *Aerospace and Defence Systems*: Avionics, radar, navigation. 

- *Renewable Energy Systems*: Instrumentation for solar/wind energy. 

- *Machine Learning in Instrumentation*: Predictive maintenance, anomaly detection. 

 

*Semester 3* 

- *Elective II & III* (6 Credits) 

- *Thesis/Project Work I* (4 Credits) 

  - Proposal development, literature review, initial experiments. 

 

*Semester 4* 

- *Thesis/Project Work II* (8 Credits) 

  - Implementation, analysis, and defines. 

- *Professional Development* 

  - Technical Writing, Research Methodology, Seminar Series. 

 

*Additional Components* 

- *Internship*: Optional industry/research immersion (Summer between Year 1–2). 

- *Workshops/Certifications*: PLC programming (Siemens, Allen-Bradley), IoT platforms. 

- *Software Training*: LabVIEW, Simulink, Python for data analysis. 

 

*Learning Outcomes* 

- Design and optimize instrumentation systems for diverse industries. 

- Implement automation solutions using PLCs, SCADA, and embedded systems. 

- Conduct independent research addressing challenges in measurement and control. 

 

*Assessment* 

- Exams, lab reports, project deliverables, thesis defence, and presentations.