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Fees
₹12,00,000
Placement
92.0%
Avg Package
₹5,50,000
Highest Package
₹9,50,000
Fees
₹12,00,000
Placement
92.0%
Avg Package
₹5,50,000
Highest Package
₹9,50,000
Seats
180
Students
180
Seats
180
Students
180
The SCADA program at School of Instrumentation, Devi Ahilya Vishwavidyalaya is structured over eight semesters, with a balanced mix of foundational science subjects, core engineering principles, departmental electives, and hands-on laboratory experiences. This comprehensive approach ensures that students develop both theoretical knowledge and practical skills necessary for success in the field of industrial automation.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MATH101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | CSE101 | Introduction to Computer Programming | 3-0-2-4 | - |
| 1 | EE101 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | CH101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | ENG101 | English for Engineers | 2-0-0-2 | - |
| 2 | MATH201 | Engineering Mathematics II | 3-1-0-4 | MATH101 |
| 2 | PHY201 | Modern Physics and Applications | 3-1-0-4 | PHY101 |
| 2 | CSE201 | Data Structures and Algorithms | 3-1-2-5 | CSE101 |
| 2 | EE201 | Electrical Circuits and Networks | 3-1-0-4 | EE101 |
| 2 | CH201 | Organic Chemistry | 3-1-0-4 | CH101 |
| 2 | ENG201 | Technical Communication | 2-0-0-2 | ENG101 |
| 3 | MATH301 | Engineering Mathematics III | 3-1-0-4 | MATH201 |
| 3 | EE301 | Signals and Systems | 3-1-0-4 | EE201 |
| 3 | CSE301 | Database Management Systems | 3-1-2-5 | CSE201 |
| 3 | ME301 | Mechanics of Materials | 3-1-0-4 | - |
| 3 | IN301 | Introduction to Instrumentation | 3-1-0-4 | - |
| 3 | CH301 | Physical Chemistry | 3-1-0-4 | CH201 |
| 4 | MATH401 | Engineering Mathematics IV | 3-1-0-4 | MATH301 |
| 4 | EE401 | Control Systems | 3-1-0-4 | EE301 |
| 4 | CSE401 | Software Engineering | 3-1-2-5 | CSE301 |
| 4 | ME401 | Thermodynamics | 3-1-0-4 | ME301 |
| 4 | IN401 | Sensors and Transducers | 3-1-0-4 | IN301 |
| 4 | CH401 | Chemical Engineering Fundamentals | 3-1-0-4 | CH301 |
| 5 | MATH501 | Advanced Mathematics | 3-1-0-4 | MATH401 |
| 5 | EE501 | Digital Signal Processing | 3-1-0-4 | EE401 |
| 5 | CSE501 | Operating Systems | 3-1-2-5 | CSE401 |
| 5 | ME501 | Fluid Mechanics | 3-1-0-4 | ME401 |
| 5 | IN501 | Process Control | 3-1-0-4 | IN401 |
| 5 | CH501 | Biochemistry | 3-1-0-4 | CH401 |
| 6 | MATH601 | Probability and Statistics | 3-1-0-4 | MATH501 |
| 6 | EE601 | Microprocessors and Microcontrollers | 3-1-2-5 | EE501 |
| 6 | CSE601 | Web Technologies | 3-1-2-5 | CSE501 |
| 6 | ME601 | Mechanical Design | 3-1-0-4 | ME501 |
| 6 | IN601 | Industrial Automation | 3-1-0-4 | IN501 |
| 6 | CH601 | Environmental Chemistry | 3-1-0-4 | CH501 |
| 7 | MATH701 | Numerical Methods | 3-1-0-4 | MATH601 |
| 7 | EE701 | Communication Systems | 3-1-0-4 | EE601 |
| 7 | CSE701 | Mobile Computing | 3-1-2-5 | CSE601 |
| 7 | ME701 | Mechanical Vibration Analysis | 3-1-0-4 | ME601 |
| 7 | IN701 | SCADA System Design | 3-1-0-4 | IN601 |
| 7 | CH701 | Industrial Chemistry | 3-1-0-4 | CH601 |
| 8 | MATH801 | Advanced Control Theory | 3-1-0-4 | MATH701 |
| 8 | EE801 | Embedded Systems | 3-1-2-5 | EE701 |
| 8 | CSE801 | Cloud Computing | 3-1-2-5 | CSE701 |
| 8 | ME801 | Advanced Manufacturing Processes | 3-1-0-4 | ME701 |
| 8 | IN801 | Capstone Project | 3-0-0-6 | IN701 |
| 8 | CH801 | Nanotechnology in Chemistry | 3-1-0-4 | CH701 |
The program offers several advanced departmental electives that allow students to specialize further and gain deeper insights into specific areas of SCADA technology:
This course explores the design principles and architectural components of modern SCADA systems. Students learn about distributed control systems, network topologies, data flow management, and integration with enterprise resource planning (ERP) systems.
Students are introduced to the unique challenges of securing industrial environments, including vulnerability assessments, intrusion detection, and secure communication protocols. The course covers international standards such as IEC 62443 and NIST Cybersecurity Framework.
This elective focuses on processing large volumes of real-time data generated by SCADA systems. Students learn to use tools like Apache Kafka, Hadoop, and Spark for data ingestion, transformation, and analysis.
Students explore how IoT sensors and devices can be integrated into existing SCADA architectures to enable smart monitoring, predictive maintenance, and automated decision-making processes.
This course teaches students how to design user-friendly interfaces for SCADA systems using platforms like Wonderware, Ignition, and Siemens WinCC. Emphasis is placed on usability, responsiveness, and system integration.
Students learn to model and simulate complex industrial processes using MATLAB and Simulink. This course emphasizes the development of control strategies for nonlinear systems and real-time simulation environments.
This course covers various communication protocols used in industrial automation, including Modbus, OPC UA, Ethernet/IP, and Profinet. Students gain hands-on experience with protocol analysis and troubleshooting techniques.
Focused on environmental applications of SCADA, this course addresses the design and implementation of automated systems for water treatment, waste management, and pollution control.
This elective introduces students to the concept of digital twins and their application in industrial settings. Students learn how to create virtual replicas of physical systems for simulation, optimization, and predictive maintenance.
Students explore how machine learning algorithms can be applied to predict equipment failures and schedule maintenance activities based on real-time SCADA data streams.
The SCADA program strongly emphasizes project-based learning, where students apply theoretical concepts in practical scenarios. Projects are structured into three phases:
Project selection is done through a faculty-mentorship system where students propose ideas, receive feedback, and are matched with appropriate mentors based on their interests and expertise. Evaluation criteria include technical depth, innovation, documentation quality, presentation skills, and peer collaboration.
