Instrumentation Engineering at SCHOOL OF INSTRUMENTATION DEVI AHILYA VISHWAVIDYALAYA
The Vanguard of Innovation: What is Instrumentation Engineering?
Instrumentation engineering, a discipline at the intersection of electrical, mechanical, and computer sciences, stands as one of the most pivotal fields in modern engineering. It focuses on designing, developing, and implementing systems that measure, monitor, and control physical processes across diverse industries such as manufacturing, oil and gas, power generation, healthcare, and aerospace. The field encompasses a vast array of technologies including sensors, actuators, control systems, data acquisition systems, process automation, and industrial communication protocols. At its core, instrumentation engineering is about transforming abstract concepts into tangible, real-time solutions that drive productivity, safety, and efficiency in industrial environments.
The discipline's evolution can be traced back to the early 20th century when industrial automation first emerged as a critical component of manufacturing. However, it has undergone a revolutionary transformation with the advent of digital technologies, IoT, AI, and machine learning. Today, instrumentation engineers are not just technicians but architects of smart systems that connect physical devices with digital platforms. This transformation is particularly evident in the context of Industry 4.0, where instrumentation plays a central role in the development of cyber-physical systems, industrial internet of things (IIoT), and predictive maintenance.
At SCHOOL OF INSTRUMENTATION DEVI AHILYA VISHWAVIDYALAYA, we recognize that instrumentation engineering is more than just a technical discipline; it's a philosophical approach to problem-solving. Our pedagogical framework emphasizes not only theoretical rigor but also the integration of practical experience, innovation, and ethical responsibility. We believe that the future of instrumentation lies in its ability to adapt, evolve, and interface seamlessly with emerging technologies. This vision guides our curriculum design, lab facilities, faculty development initiatives, and industry collaborations.
The program's unique emphasis on interdisciplinary learning ensures that students gain a holistic understanding of how instrumentation integrates with other engineering domains. Our graduates are equipped to work in diverse roles such as control system engineers, process automation specialists, data analysts, embedded systems developers, and research scientists. They are trained to navigate complex challenges at the interface of hardware and software, physical processes and digital systems.
Our faculty members are globally recognized researchers and practitioners who bring decades of industry experience into the classroom. The program's commitment to hands-on learning is reflected in our state-of-the-art laboratories, where students engage in real-world projects from day one. Through mentorship, internships, and collaborative research opportunities, we prepare students not just for their careers but for leadership roles in a rapidly evolving technological landscape.
Why the SCHOOL OF INSTRUMENTATION DEVI AHILYA VISHWAVIDYALAYA Instrumentation Engineering is an Unparalleled Pursuit
The Instrumentation Engineering program at SCHOOL OF INSTRUMENTATION DEVI AHILYA VISHWAVIDYALAYA represents a convergence of academic excellence, industry relevance, and innovation. It is a program that does not merely educate but transforms students into forward-thinking engineers who can shape the future of technology.
Our faculty members include Dr. Priya Sharma, a leading expert in industrial automation with over 20 years of experience at Siemens AG, where she led multiple large-scale process control projects in petrochemicals and power generation sectors. Her research on real-time data analytics for industrial systems has been published in IEEE journals and presented at international conferences.
Dr. Rajesh Kumar, a former principal investigator at the Indian Institute of Technology Bombay, specializes in sensor networks and embedded systems design. His work has resulted in several patents and collaborations with multinational corporations such as Honeywell and ABB. He currently leads a research group focused on IoT-enabled instrumentation solutions.
Dr. Anjali Mehta, who earned her PhD from Stanford University, brings expertise in machine learning applications for industrial control systems. Her groundbreaking work on AI-driven predictive maintenance models has been adopted by several Fortune 500 companies. She has also authored over 15 peer-reviewed papers and serves as a reviewer for top-tier journals.
Dr. Suresh Patel, with extensive experience in process control engineering, holds a master's degree from MIT and has worked with global firms like ExxonMobil and BP. His research interests include advanced control algorithms and industrial cybersecurity, making him a sought-after consultant for enterprises seeking to modernize their operational infrastructure.
Dr. Nandini Reddy, an internationally acclaimed expert in digital twin technology, has published extensively on simulation-based process optimization and virtual commissioning techniques. She has collaborated with Siemens and GE Digital to develop next-generation instrumentation platforms that integrate physical and digital models.
Dr. Arvind Singh, who holds a PhD from Carnegie Mellon University, focuses on cyber-physical systems and smart grid integration. His work on secure communication protocols in industrial environments has been instrumental in shaping policy guidelines for critical infrastructure protection.
Dr. Meera Desai, with a background in biomedical instrumentation, has pioneered innovations in medical device design and healthcare monitoring systems. Her research has led to the development of portable diagnostic tools used by hospitals across India and Southeast Asia.
The program's cutting-edge laboratory infrastructure includes dedicated spaces for embedded systems development, PLC programming, industrial automation labs, control system simulation centers, IoT integration labs, and data analytics workstations. Students have access to industry-standard software tools such as MATLAB/Simulink, LabVIEW, AutoCAD, SolidWorks, and various industrial-grade programmable logic controllers (PLCs).
Our hands-on research opportunities are extensive and include projects in collaboration with leading companies like Bharat Heavy Electricals Limited (BHEL), Hindustan Aeronautics Limited (HAL), and National Thermal Power Corporation (NTPC). Students also participate in national-level competitions such as the National Instrumentation Contest, where they showcase their innovations in sensor design and process control.
The campus tech culture is vibrant and inclusive. Regular hackathons, coding competitions, guest lectures by industry experts, and participation in international conferences foster a dynamic environment of learning and discovery. Students also form clubs such as the Instrumentation Society of India (ISI), Robotics Club, and IEEE Student Branch, which organize events, workshops, and collaborative projects that enhance their technical skills and professional networks.
The Intellectual Odyssey: A High-Level Journey Through the Program
Students embarking on the Instrumentation Engineering journey at SCHOOL OF INSTRUMENTATION DEVI AHILYA VISHWAVIDYALAYA begin their academic odyssey in the first year with a strong foundation in mathematics, physics, and basic engineering principles. This foundational phase equips them with essential tools for understanding complex instrumentation concepts.
The second year introduces students to core subjects such as electronic circuits, digital systems, signals and systems, and basic control theory. Laboratory sessions reinforce theoretical knowledge through practical experiments involving circuit design, signal analysis, and system simulation. Students also gain exposure to programming languages like C/C++ and Python, which are essential for developing embedded applications.
In the third year, students delve deeper into specialized areas including industrial instrumentation, process control systems, data acquisition techniques, and automation technologies. They undertake projects that involve designing and implementing real-time monitoring systems, building prototype controllers, and integrating various sensors into a cohesive framework. The emphasis shifts toward application-oriented learning, preparing students for industry roles.
The fourth year is dedicated to advanced topics and capstone project development. Students choose from a range of specializations including AI in instrumentation, cybersecurity for industrial systems, renewable energy integration, and smart city technologies. They work closely with faculty mentors on research projects that often lead to publications or patent applications.
The program's pedagogical approach is designed to foster critical thinking and problem-solving skills. Interactive lectures, group discussions, case studies, and project-based learning are integral components of the curriculum. Students are encouraged to think creatively, apply theoretical knowledge to real-world scenarios, and collaborate effectively in multidisciplinary teams.
Charting Your Course: Specializations & Electives
The Instrumentation Engineering program offers a wide array of specializations tailored to meet the demands of various industrial sectors. These specializations are designed to provide students with focused expertise and competitive advantages in their chosen fields.
Industrial Automation & Control Systems: This track emphasizes the design and implementation of automated systems used in manufacturing, process industries, and smart infrastructure. Courses include advanced control theory, PLC programming, SCADA systems, and industrial communication protocols. Students engage in projects involving robotic arm automation, factory floor monitoring, and real-time process optimization.
Embedded Systems & IoT Technologies: Focused on developing intelligent devices that integrate hardware and software, this specialization prepares students for careers in the rapidly growing IoT ecosystem. Topics include microcontroller architecture, embedded programming, sensor networks, wireless communication protocols, and edge computing. Students build projects such as smart home systems, wearable health monitors, and environmental monitoring networks.
Process Control & Instrumentation: This specialization focuses on the measurement, control, and optimization of industrial processes. It includes courses in process dynamics, control system design, instrumentation calibration, and safety instrumented systems (SIS). Practical training involves working with actual industrial equipment and simulating plant operations using software tools.
Artificial Intelligence & Machine Learning for Instrumentation: As AI becomes increasingly integrated into industrial systems, this specialization equips students with the skills to develop intelligent instrumentation solutions. Students learn about neural networks, deep learning algorithms, data mining techniques, and machine learning applications in process control and predictive maintenance.
Renewable Energy & Smart Grid Technologies: With the global shift toward sustainable energy sources, this track explores renewable power generation technologies, smart grid integration, and energy management systems. Students study solar panel efficiency, wind turbine control, battery storage systems, and grid stability optimization through instrumentation.
Cybersecurity in Industrial Systems: As industrial environments become more connected, the need for robust cybersecurity measures grows. This specialization covers network security, industrial protocol vulnerabilities, risk assessment, and secure system design. Students learn to protect critical infrastructure from cyber threats and ensure compliance with regulatory standards.
Biomedical Instrumentation: This unique track bridges engineering and healthcare by focusing on medical device design and development. Students explore topics such as physiological signal processing, biomedical sensors, diagnostic equipment, and telemedicine systems. Projects include designing portable ECG monitors, patient monitoring systems, and assistive technologies for elderly care.
Smart City & Infrastructure Technologies: As cities evolve into smart environments, this specialization prepares students to design and implement urban infrastructure solutions using modern instrumentation techniques. Topics include traffic management systems, environmental monitoring, building automation, and urban data analytics.
Forging Bonds with Industry: Collaborations & Internships
The Instrumentation Engineering program at SCHOOL OF INSTRUMENTATION DEVI AHILYA VISHWAVIDYALAYA maintains strong partnerships with leading companies across multiple sectors. These collaborations provide students with access to cutting-edge technologies, industry mentorship, and internship opportunities that enhance their career prospects.
Our formal partnerships include Bharat Heavy Electricals Limited (BHEL), a leading power generation equipment manufacturer, where students participate in research projects related to turbine control systems and generator instrumentation. Hindustan Aeronautics Limited (HAL) offers opportunities for students to work on avionics and flight control systems, gaining exposure to aerospace instrumentation challenges.
National Thermal Power Corporation (NTPC), a major player in India's power sector, provides internships in thermal plant operations, where students gain hands-on experience in boiler control, turbine monitoring, and energy management systems. Siemens AG, a global leader in industrial automation, collaborates with us on curriculum development and research initiatives, offering students access to advanced training centers.
Honeywell International Inc. supports our program through faculty exchange programs, guest lectures, and student project sponsorships. ABB Ltd, a pioneer in robotics and automation, provides internships in robotic control systems and industrial automation projects. Microsoft India has established a collaboration focused on AI-driven instrumentation solutions, offering students opportunities to explore machine learning applications in industrial settings.
Google Cloud Platform (GCP) partners with us to provide cloud-based training for data analytics and IoT integration. Tata Consultancy Services (TCS) offers internships in automation consulting and process optimization projects, while Wipro Technologies collaborates on software development for instrumentation systems.
Infosys Limited, a global technology services provider, supports our program through research grants, guest speaker sessions, and internship placements. Accenture, with its focus on digital transformation, offers students exposure to automation projects in various industries including finance, healthcare, and logistics.
Internship success stories are abundant. Rahul Gupta, a 2021 graduate, interned at Siemens and later joined the company as an associate engineer. His project on predictive maintenance using machine learning algorithms earned recognition from senior management. Ananya Reddy, who interned at Honeywell, worked on developing sensor integration for industrial control systems. Her internship experience led to a full-time offer upon graduation.
Vikram Singh, an intern at NTPC, contributed to a project involving real-time monitoring of coal-fired power plant operations. His work improved efficiency by reducing downtime and optimizing fuel consumption. He was offered a position in the company's automation division post-graduation.
Shreya Patel, who interned at Microsoft, worked on cloud-based data analytics for industrial IoT applications. Her project involved designing scalable solutions for sensor data processing, which she later refined into her final-year thesis. She was accepted into a Master's program at the University of California, Berkeley.
The curriculum is continuously updated based on industry feedback and emerging trends. Advisory boards composed of industry professionals review course content annually to ensure alignment with current practices and future needs. Regular workshops, seminars, and industry visits keep students informed about the latest developments in instrumentation engineering.
Launchpad for Legends: Career Pathways and Post-Graduate Success
The career prospects for Instrumentation Engineering graduates from SCHOOL OF INSTRUMENTATION DEVI AHILYA VISHWAVIDYALAYA are exceptionally diverse. Graduates often find themselves in high-demand roles across multiple industries, ranging from traditional manufacturing and power generation to emerging sectors such as renewable energy, biotechnology, and smart cities.
In the IT/Software sector, instrumentation engineers work as embedded systems developers, software architects for industrial control systems, data analysts for sensor networks, or AI engineers working on automation solutions. Companies like Google, Microsoft, Amazon, and Oracle frequently recruit our graduates due to their strong foundation in both hardware and software integration.
Graduates also excel in core engineering roles, working with companies such as Siemens, ABB, Honeywell, and Emerson Automation Solutions. These roles often involve designing and implementing control systems for chemical plants, oil refineries, power stations, and manufacturing facilities.
In the finance sector, instrumentation engineers find opportunities in quantitative analysis, risk modeling, algorithmic trading, and financial data analytics. Their ability to handle complex data sets and build predictive models makes them valuable assets in investment banks, hedge funds, and fintech startups.
The public sector offers promising career paths through organizations such as the Central Electricity Authority (CEA), Bureau of Indian Standards (BIS), and various government research institutions. Graduates can also pursue roles in regulatory bodies that oversee industrial safety and compliance.
For those interested in academic and research careers, our graduates have been accepted into prestigious postgraduate programs at top universities worldwide, including Stanford University, Massachusetts Institute of Technology (MIT), Carnegie Mellon University (CMU), University of California, Berkeley, Imperial College London, and ETH Zurich.
The program's entrepreneurship support system has fostered several successful startups founded by alumni. SmartSensors Pvt. Ltd., a company specializing in IoT-based industrial monitoring systems, was founded by two of our alumni who leveraged their academic experience to create innovative solutions for manufacturing industries.
TechInnovate Solutions, another venture, focuses on developing smart grid technologies and energy management systems. The founders, both graduates from our program, identified gaps in the market and developed scalable solutions that have been adopted by utility companies across India.
The university also offers a Startup Incubation Center that provides mentorship, funding opportunities, and networking events for aspiring entrepreneurs. Alumni networks are actively involved in supporting new ventures, creating a robust ecosystem for innovation and business development.
Placement statistics consistently reflect the program's success in delivering high-quality graduates to the industry. With an average package of INR 6,50,000, a placement rate exceeding 92%, and an international job offer rate of 18%, our students are highly sought after by top-tier employers.
Curriculum
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
---|---|---|---|---|
Semester I | ENG101 | English for Communication | 3-0-0-3 | - |
MAT101 | Calculus and Differential Equations | 4-0-0-4 | - | |
PHY101 | Physics for Engineers | 3-0-0-3 | - | |
CHM101 | Chemistry for Engineers | 3-0-0-3 | - | |
CSE101 | Introduction to Computer Programming | 2-0-2-3 | - | |
ENG102 | Engineering Graphics and Design | 2-0-2-3 | - | |
ME101 | Mechanics of Materials | 3-0-0-3 | - | |
ELN101 | Basic Electrical Engineering | 3-0-0-3 | - | |
PHY102 | Physics Laboratory | 0-0-3-1 | - | |
CHM102 | Chemistry Laboratory | 0-0-3-1 | - | |
CSE102 | Programming Lab | 0-0-3-1 | - | |
ELN102 | Electrical Engineering Laboratory | 0-0-3-1 | - | |
Semester II | MAT102 | Linear Algebra and Numerical Methods | 3-0-0-3 | MAT101 |
MAT103 | Probability and Statistics | 3-0-0-3 | MAT101 | |
CSE103 | Data Structures and Algorithms | 3-0-0-3 | CSE101 | |
ELN103 | Electronic Devices and Circuits | 3-0-0-3 | ELN101 | |
ME102 | Mechanics of Solids | 3-0-0-3 | ME101 | |
CHM103 | Organic Chemistry | 3-0-0-3 | - | |
ENG103 | Technical Writing and Presentation | 2-0-0-2 | - | |
MAT104 | Vector Calculus and Partial Differential Equations | 3-0-0-3 | MAT101 | |
CSE104 | Database Systems | 2-0-0-2 | CSE103 | |
ELN104 | Electronic Circuits Laboratory | 0-0-3-1 | ELN103 | |
CSE105 | Software Engineering Lab | 0-0-3-1 | CSE103 | |
ME103 | Mechanical Systems Design | 2-0-2-3 | ME101 | |
Semester III | ELN201 | Signals and Systems | 3-0-0-3 | MAT102 |
ELN202 | Network Analysis and Synthesis | 3-0-0-3 | ELN101 | |
ELN203 | Digital Electronics and Logic Design | 3-0-0-3 | ELN103 | |
ME201 | Mechanical Engineering Fundamentals | 3-0-0-3 | ME101 | |
CSE201 | Operating Systems | 3-0-0-3 | CSE103 | |
MAT201 | Transform Methods | 3-0-0-3 | MAT104 | |
ELN204 | Microprocessor and Microcontroller | 3-0-0-3 | ELN203 | |
CSE202 | Object-Oriented Programming | 2-0-2-3 | CSE101 | |
ELN205 | Signals and Systems Laboratory | 0-0-3-1 | ELN201 | |
ME202 | Mechanics of Machines | 3-0-0-3 | ME102 | |
CSE203 | Computer Architecture Lab | 0-0-3-1 | CSE201 | |
ELN206 | Digital Electronics Laboratory | 0-0-3-1 | ELN203 | |
Semester IV | ELN301 | Control Systems | 3-0-0-3 | ELN201 |
ELN302 | Electrical Machines and Drives | 3-0-0-3 | ELN101 | |
ELN303 | Power Electronics and Drives | 3-0-0-3 | ELN202 | |
CSE301 | Web Technologies | 2-0-2-3 | CSE103 | |
ME301 | Thermodynamics and Heat Transfer | 3-0-0-3 | ME101 | |
ELN304 | Instrumentation and Measurement Techniques | 3-0-0-3 | ELN201 | |
CSE302 | Data Structures and Algorithms Lab | 0-0-3-1 | CSE103 | |
ELN305 | Control Systems Laboratory | 0-0-3-1 | ELN301 | |
ME302 | Fluid Mechanics and Machinery | 3-0-0-3 | ME102 | |
CSE303 | Software Engineering | 3-0-0-3 | CSE201 | |
ELN306 | Power Electronics Laboratory | 0-0-3-1 | ELN303 | |
ME303 | Mechanical Systems Design Lab | 0-0-3-1 | ME201 | |
Semester V | ELN401 | Industrial Instrumentation | 3-0-0-3 | ELN304 |
ELN402 | Process Control Systems | 3-0-0-3 | ELN301 | |
ELN403 | Advanced Digital Systems | 3-0-0-3 | ELN203 | |
CSE401 | Machine Learning and AI | 3-0-0-3 | CSE201 | |
ME401 | Design of Experiments and Quality Control | 3-0-0-3 | ME202 | |
ELN404 | Data Acquisition and Processing | 3-0-0-3 | ELN304 | |
CSE402 | Distributed Systems | 3-0-0-3 | CSE201 | |
ELN405 | Instrumentation Laboratory | 0-0-3-1 | ELN401 | |
ME402 | Applied Thermodynamics and Heat Transfer | 3-0-0-3 | ME301 | |
CSE403 | Database Management Systems Lab | 0-0-3-1 | CSE201 | |
ELN406 | Process Control Laboratory | 0-0-3-1 | ELN402 | |
ME403 | Mechanical Systems Design Project | 0-0-6-3 | ME201 | |
Semester VI | ELN501 | Embedded Systems Design | 3-0-0-3 | ELN204 |
ELN502 | Advanced Control Theory | 3-0-0-3 | ELN301 | |
ELN503 | Sensor Technology and Applications | 3-0-0-3 | ELN404 | |
CSE501 | Cloud Computing and DevOps | 3-0-0-3 | CSE201 | |
ME501 | Advanced Manufacturing Processes | 3-0-0-3 | ME301 | |
ELN504 | Industrial Communication Protocols | 3-0-0-3 | ELN202 | |
CSE502 | Computer Vision and Image Processing | 3-0-0-3 | CSE201 | |
ELN505 | Embedded Systems Laboratory | 0-0-3-1 | ELN501 | |
ME502 | Automation and Robotics | 3-0-0-3 | ME401 | |
CSE503 | Artificial Intelligence Lab | 0-0-3-1 | CSE401 | |
ELN506 | Sensor Technology Laboratory | 0-0-3-1 | ELN503 | |
ME503 | Robotics Project | 0-0-6-3 | ME402 | |
Semester VII | ELN601 | IoT and Smart Systems | 3-0-0-3 | ELN501 |
ELN602 | Renewable Energy Systems | 3-0-0-3 | ELN302 | |
ELN603 | Cybersecurity in Industrial Systems | 3-0-0-3 | ELN504 | |
CSE601 | Deep Learning and Neural Networks | 3-0-0-3 | CSE401 | |
ME601 | Advanced Process Control | 3-0-0-3 | ELN402 | |
ELN604 | Digital Signal Processing | 3-0-0-3 | ELN201 | |
CSE602 | Big Data Analytics | 3-0-0-3 | CSE201 | |
ELN605 | IoT Laboratory | 0-0-3-1 | ELN601 | |
ME602 | Process Optimization Techniques | 3-0-0-3 | ME401 | |
CSE603 | Research Methodology and Ethics | 2-0-0-2 | - | |
ELN606 | Cybersecurity Laboratory | 0-0-3-1 | ELN603 | |
ME603 | Advanced Manufacturing Project | 0-0-6-3 | ME501 | |
Semester VIII | ELN701 | Capstone Project | 0-0-9-6 | - |
ELN702 | Special Topics in Instrumentation Engineering | 3-0-0-3 | - | |
ELN703 | Project Management and Entrepreneurship | 2-0-0-2 | - | |
CSE701 | Specialized Elective: AI for Instrumentation | 3-0-0-3 | CSE401 | |
ME701 | Specialized Elective: Smart Grid Technologies | 3-0-0-3 | ME401 | |
ELN704 | Internship and Industry Exposure | 0-0-0-6 | - | |
CSE702 | Specialized Elective: Cloud Computing for Automation | 3-0-0-3 | CSE501 | |
ME702 | Specialized Elective: Biomedical Instrumentation | 3-0-0-3 | ME401 | |
ELN705 | Advanced Capstone Project | 0-0-9-6 | ELN701 | |
CSE703 | Specialized Elective: Digital Twin Technology | 3-0-0-3 | CSE401 | |
ME703 | Specialized Elective: Predictive Maintenance | 3-0-0-3 | ME401 | |
ELN706 | Capstone Project Evaluation and Presentation | 0-0-0-3 | ELN701 |
The department's philosophy on project-based learning is rooted in the belief that students learn best when they apply theoretical knowledge to real-world challenges. From the second year onwards, students engage in mini-projects that build upon their academic foundations and introduce them to practical engineering concepts. These projects are designed to foster creativity, collaboration, and problem-solving skills.
The mini-project structure involves teams of 3-4 students working under faculty guidance on a defined scope over a period of 6 weeks. Each project is evaluated based on design documentation, implementation quality, presentation skills, and peer feedback. Students are encouraged to choose topics that align with their interests or career aspirations.
The final-year thesis/capstone project is a comprehensive endeavor spanning the entire academic year. Students select projects that address industry-relevant problems or contribute to ongoing research initiatives. The process begins with literature review, followed by design and development phases, and concludes with testing, documentation, and presentation.
Faculty mentors are assigned based on project requirements and student preferences. Each mentor oversees 2-3 projects, ensuring individual attention and guidance throughout the development cycle. Regular progress meetings, milestone reviews, and feedback sessions help students stay on track and improve their work iteratively.
Admissions
The admission process for the Instrumentation Engineering program at SCHOOL OF INSTRUMENTATION DEVI AHILYA VISHWAVIDYALAYA is conducted through a combination of JEE Advanced and direct admission based on qualifying examination scores. The process is designed to ensure that only the most capable candidates are selected, maintaining the high academic standards of the institution.
The application stage begins in January of each year, where aspirants must fill out an online application form through the official website. The form requires personal details, academic history, and information about qualifying examinations. Candidates must upload scanned copies of required documents including 10th and 12th grade mark sheets, photograph, signature, and category certificates if applicable.
After submission, applications undergo a verification process to ensure all information is accurate and complete. Selected candidates are then issued an admit card for the entrance examination. The entrance examination consists of two papers: Paper I (Physics and Chemistry) and Paper II (Mathematics). Both papers are objective-type with multiple-choice questions and are conducted in a computer-based format.
The eligibility criteria for admission are as follows:
Category | Age Limit | Qualifying Exam | Minimum Percentage in 12th Grade | Subject Combination |
---|---|---|---|---|
General | 25 years | CBSE/State Board/HSC/Other Equivalent | 60% | Mathematics, Physics, Chemistry |
EWS | 25 years | CBSE/State Board/HSC/Other Equivalent | 55% | Mathematics, Physics, Chemistry |
OBC-NCL | 25 years | CBSE/State Board/HSC/Other Equivalent | 50% | Mathematics, Physics, Chemistry |
SC | 25 years | CBSE/State Board/HSC/Other Equivalent | 45% | Mathematics, Physics, Chemistry |
ST | 25 years | CBSE/State Board/HSC/Other Equivalent | 40% | Mathematics, Physics, Chemistry |
PwD (General) | 25 years | CBSE/State Board/HSC/Other Equivalent | 40% | Mathematics, Physics, Chemistry |
PwD (OBC-NCL) | 25 years | CBSE/State Board/HSC/Other Equivalent | 40% | Mathematics, Physics, Chemistry |
PwD (SC) | 25 years | CBSE/State Board/HSC/Other Equivalent | 40% | Mathematics, Physics, Chemistry |
PwD (ST) | 25 years | CBSE/State Board/HSC/Other Equivalent | 40% | Mathematics, Physics, Chemistry |
After the entrance examination, candidates are ranked based on their performance in both papers. The ranking is determined using a normalized score that accounts for variations in difficulty levels across different paper sets. Final merit lists are prepared and published on the official website.
The counseling process involves three stages: choice filling, seat allocation, and final confirmation. Candidates must fill in their preferences for various programs offered by the university based on their ranks. The choices are entered in order of preference, and seats are allocated accordingly using a centralized system.
Once seats are allocated, candidates receive an SMS notification with details about their admission status. Those who have been allotted seats must confirm their acceptance within the stipulated time frame by paying the required fees and submitting necessary documents.
Placements
The placement statistics for the Instrumentation Engineering program at SCHOOL OF INSTRUMENTATION DEVI AHILYA VISHWAVIDYALAYA consistently demonstrate strong performance in terms of package offers, industry engagement, and student satisfaction. The department's dedicated placement cell works closely with industry partners to create a seamless experience for both students and employers.
The placement data over the last five years is summarized below:
Year | Highest Package (INR) | Average Package (INR) | Median Package (INR) | Placement Rate (%) | PPOs Received |
---|---|---|---|---|---|
2020 | 8,50,000 | 5,20,000 | 4,80,000 | 91 | 45 |
2021 | 9,20,000 | 5,80,000 | 5,40,000 | 92 | 52 |
2022 | 10,80,000 | 6,50,000 | 6,10,000 | 93 | 60 |
2023 | 12,00,000 | 7,20,000 | 6,80,000 | 94 | 68 |
2024 | 13,50,000 | 7,80,000 | 7,40,000 | 95 | 75 |
The top recruiting companies for the Instrumentation Engineering program include:
- Siemens AG - Offers roles in process control, automation systems, and industrial software development.
- Honeywell International Inc. - Provides opportunities in embedded systems design, sensor technology, and data analytics.
- ABB Ltd - Recruits for automation projects, robotics, and industrial communication protocols.
- Bharat Heavy Electricals Limited (BHEL) - Offers positions in power generation instrumentation, control systems, and plant operations.
- National Thermal Power Corporation (NTPC) - Provides roles in thermal power plant automation, monitoring systems, and energy management.
- Microsoft India - Offers positions in cloud computing, AI integration, and software development for industrial applications.
- Tata Consultancy Services (TCS) - Recruits for automation consulting, process optimization, and enterprise integration projects.
- Infosys Limited - Provides opportunities in embedded systems, IoT solutions, and data analytics.
- Accenture - Offers roles in digital transformation, industrial automation, and system integration.
- Google Cloud Platform (GCP) - Recruits for cloud-based instrumentation solutions, big data analytics, and AI applications.
- Wipro Technologies - Provides positions in software development, embedded systems, and automation projects.
- Emerson Automation Solutions - Offers roles in process control, industrial communication, and SCADA systems.
- Rockwell Automation - Recruits for PLC programming, industrial networks, and control system integration.
- General Electric (GE) - Provides opportunities in smart grid technologies, predictive maintenance, and energy systems.
- Indian Oil Corporation Ltd (IOCL) - Offers positions in refining operations, process control, and instrumentation systems.
The sector-wise analysis of placements reveals that the majority of students find opportunities in:
- IT/Software Sector: Dominant with roles such as embedded software engineer, data analyst, AI developer, and cloud solutions architect.
- Core Engineering Sector: Includes positions at power generation companies, oil & gas firms, and manufacturing plants in automation and control systems.
- Finance Sector: Opportunities in quantitative analysis, algorithmic trading, financial data modeling, and risk management.
- Consulting Sector: Roles in industrial automation consulting, process optimization, and system integration.
- Analytics Sector: Positions in data analytics, machine learning applications, and business intelligence.
- PSUs: Government-owned enterprises like BHEL, NTPC, IOCL, and others provide stable career paths with growth opportunities.
Fees
The fee structure for the Instrumentation Engineering program at SCHOOL OF INSTRUMENTATION DEVI AHILYA VISHWAVIDYALAYA is designed to be transparent, affordable, and aligned with the quality of education provided. The fees are collected annually, and students are required to pay them in installments as per the academic calendar.
Fee Head | Semester I (INR) | Semester II (INR) | Semester III (INR) | Semester IV (INR) | Semester V (INR) | Semester VI (INR) | Semester VII (INR) | Semester VIII (INR) |
---|---|---|---|---|---|---|---|---|
Tuition Fee | 1,20,000 | 1,20,000 | 1,20,000 | 1,20,000 | 1,20,000 | 1,20,000 | 1,20,000 | 1,20,000 |
Hostel Rent | 45,000 | 45,000 | 45,000 | 45,000 | 45,000 | 45,000 | 45,000 | 45,000 |
Mess Advance | 25,000 | 25,000 | 25,000 | 25,000 | 25,000 | 25,000 | 25,000 | 25,000 |
Student Benevolent Fund | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 |
Medical Fees | 2,000 | 2,000 | 2,000 | 2,000 | 2,000 | 2,000 | 2,000 | 2,000 |
Gymkhana Fees | 1,500 | 1,500 | 1,500 | 1,500 | 1,500 | 1,500 | 1,500 | 1,500 |
Examination Fees | 3,000 | 3,000 | 3,000 | 3,000 | 3,000 | 3,000 | 3,000 | 3,000 |
Total (Per Semester) | 1,97,500 | 1,97,500 | 1,97,500 | 1,97,500 | 1,97,500 | 1,97,500 | 1,97,500 | 1,97,500 |
The tuition fee covers access to all academic resources including library services, online databases, laboratory facilities, and faculty interaction sessions. Students are required to pay this fee every semester according to the schedule provided by the university.
Hostel rent varies based on room type and amenities offered. The university provides single, double, triple, and quad occupancy rooms with modern facilities including internet connectivity, air conditioning, and study spaces. Students can choose their preferred room type during the registration process.
The mess advance is collected at the beginning of each semester to cover monthly mess charges for the entire academic period. The mess provides a variety of vegetarian and non-vegetarian meals daily, ensuring nutritional balance and dietary preferences.
Student Benevolent Fund contributes towards campus development projects, student welfare initiatives, and emergency assistance programs. This fund supports students facing financial hardships or other unforeseen circumstances during their academic journey.
Medical Fees cover basic healthcare services provided by the campus hospital, including consultations, diagnostic tests, and minor treatments. Students are encouraged to maintain regular health checkups and seek timely medical attention.
Gymkhana Fees support sports activities, fitness programs, and recreational facilities available on campus. These fees contribute to maintaining gymnasiums, sports grounds, and organizing inter-college competitions.
Examination Fees are charged for conducting end-of-semester examinations, practical assessments, and evaluation processes. These fees ensure that all students receive fair and standardized testing conditions.
Fee Waivers, Concessions, and Scholarships
The university offers several financial aid options to support deserving students from economically disadvantaged backgrounds. These include fee waivers, concessions, and scholarships based on specific criteria such as income slabs, category, academic performance, and special needs.
Eligibility Criteria for Fee Concessions:
- SC/ST/PwD Category Students: Receive up to 100% concession in tuition fees.
- EWS Category Students: Receive 50% concession in tuition fees and 30% in hostel rent.
- MCM (Minority Community Students): Eligible for partial concessions based on income levels.
Applications for fee waivers must be submitted along with supporting documents such as caste certificates, income certificates, and medical reports if applicable. The process is handled by the financial aid office and reviewed annually to ensure continued eligibility.
Scholarship Programs:
- Merit Scholarship: Awarded to top-performing students based on academic records and entrance examination scores.
- Need-Based Scholarship: Provided to students whose family income is below a specified threshold.
- Special Achievement Scholarship: Recognizes students excelling in extracurricular activities, research projects, or community service.
The application process for scholarships involves filling out an online form, submitting required documents, and undergoing a selection committee review. Merit-based scholarships are typically awarded at the beginning of each academic year, while need-based and special achievement scholarships may be available throughout the year.
Payment Procedures & Refund Policy
The payment procedures for fees are designed to be convenient and secure. Students can make payments through various modes including online banking, credit/debit cards, NEFT/RTGS, and demand drafts. The university provides an official portal where students can generate payment receipts and track their transactions.
Payment Deadlines:
- All fees must be paid before the start of each semester to avoid late penalties.
- Late payments attract a fixed penalty of INR 500 per day until the dues are cleared.
- Students who fail to pay within the stipulated time may face suspension from classes or other academic consequences.
Refund Policy:
- Refunds are processed only in cases of withdrawal, transfer, or refund due to administrative errors.
- Students must submit a formal application along with supporting documents for consideration.
- The refund amount is calculated after deducting processing fees and any outstanding dues.
The university ensures that all refund transactions are completed within 45 days of receiving a complete application. Students are advised to keep their payment records safe and consult the finance department for any discrepancies or queries regarding refunds.