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Fees
₹12,00,000
Placement
93.5%
Avg Package
₹5,20,000
Highest Package
₹8,50,000
Fees
₹12,00,000
Placement
93.5%
Avg Package
₹5,20,000
Highest Package
₹8,50,000
Seats
400
Students
3,500
Seats
400
Students
3,500
The engineering program at Prestige University Indore is designed to provide students with a robust foundation in both fundamental sciences and advanced engineering principles. The curriculum is structured over eight semesters, with each semester building upon the previous one to ensure progressive learning and skill development.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | ENG104 | Introduction to Engineering | 2-0-0-2 | - |
| 1 | ENG105 | English for Engineers | 2-0-0-2 | - |
| 1 | ENG106 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | ENG107 | Computer Programming | 2-0-2-3 | - |
| 1 | ENG108 | Engineering Graphics and Design | 2-0-2-3 | - |
| 1 | ENG109 | Physical Education | 0-0-0-1 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Thermodynamics and Heat Transfer | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Materials Science and Engineering | 3-1-0-4 | ENG103 |
| 2 | ENG204 | Engineering Mechanics | 3-1-0-4 | ENG104 |
| 2 | ENG205 | Electrical Circuits and Networks | 3-1-0-4 | ENG106 |
| 2 | ENG206 | Computer Programming II | 2-0-2-3 | ENG107 |
| 2 | ENG207 | Engineering Drawing and Design | 2-0-2-3 | ENG108 |
| 2 | ENG208 | Communication Skills | 2-0-0-2 | - |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Fluid Mechanics and Hydraulic Machines | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Machine Design I | 3-1-0-4 | ENG204 |
| 3 | ENG304 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG305 | Electromagnetic Fields and Waves | 3-1-0-4 | ENG205 |
| 3 | ENG306 | Database Management Systems | 3-1-0-4 | ENG206 |
| 3 | ENG307 | Engineering Economics and Management | 2-0-0-2 | - |
| 3 | ENG308 | Professional Ethics and Social Issues | 2-0-0-2 | - |
| 4 | ENG401 | Engineering Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Manufacturing Processes and Technology | 3-1-0-4 | ENG303 |
| 4 | ENG403 | Control Systems | 3-1-0-4 | ENG304 |
| 4 | ENG404 | Digital Electronics and Logic Design | 3-1-0-4 | ENG305 |
| 4 | ENG405 | Software Engineering | 3-1-0-4 | ENG306 |
| 4 | ENG406 | Computer Architecture and Organization | 3-1-0-4 | ENG306 |
| 4 | ENG407 | Project Management | 2-0-0-2 | - |
| 4 | ENG408 | Environmental Science and Engineering | 2-0-0-2 | - |
| 5 | ENG501 | Advanced Mathematics for Engineers | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Advanced Machine Design | 3-1-0-4 | ENG402 |
| 5 | ENG503 | Power Electronics and Drives | 3-1-0-4 | ENG404 |
| 5 | ENG504 | Microprocessors and Microcontrollers | 3-1-0-4 | ENG406 |
| 5 | ENG505 | Data Structures and Algorithms | 3-1-0-4 | ENG306 |
| 5 | ENG506 | Artificial Intelligence and Machine Learning | 3-1-0-4 | ENG505 |
| 5 | ENG507 | Advanced Control Systems | 3-1-0-4 | ENG403 |
| 5 | ENG508 | Renewable Energy Systems | 2-0-0-2 | - |
| 6 | ENG601 | Advanced Manufacturing Processes | 3-1-0-4 | ENG502 |
| 6 | ENG602 | Embedded Systems Design | 3-1-0-4 | ENG504 |
| 6 | ENG603 | Advanced Data Structures and Algorithms | 3-1-0-4 | ENG505 |
| 6 | ENG604 | Cybersecurity and Network Security | 3-1-0-4 | ENG505 |
| 6 | ENG605 | Internet of Things (IoT) | 3-1-0-4 | ENG505 |
| 6 | ENG606 | Robotics and Automation | 3-1-0-4 | - |
| 6 | ENG607 | Sustainable Engineering Practices | 2-0-0-2 | - |
| 6 | ENG608 | Project Analysis and Design | 2-0-2-3 | - |
| 7 | ENG701 | Advanced Topics in AI and ML | 3-1-0-4 | ENG506 |
| 7 | ENG702 | Advanced Embedded Systems | 3-1-0-4 | ENG602 |
| 7 | ENG703 | Advanced Cybersecurity | 3-1-0-4 | ENG604 |
| 7 | ENG704 | Smart Grid Technologies | 3-1-0-4 | - |
| 7 | ENG705 | Advanced Robotics | 3-1-0-4 | ENG606 |
| 7 | ENG706 | Bioengineering and Biomedical Devices | 3-1-0-4 | - |
| 7 | ENG707 | Environmental Impact Assessment | 2-0-0-2 | - |
| 7 | ENG708 | Research Methodology and Thesis Writing | 2-0-0-2 | - |
| 8 | ENG801 | Final Year Project I | 4-0-0-4 | ENG708 |
| 8 | ENG802 | Final Year Project II | 4-0-0-4 | ENG801 |
| 8 | ENG803 | Industry Internship | 0-0-0-6 | - |
| 8 | ENG804 | Professional Development and Career Guidance | 2-0-0-2 | - |
Departmental elective courses provide students with the opportunity to explore specialized areas within their chosen field of engineering. These courses are designed to deepen understanding and develop advanced skills that are directly applicable to industry needs.
This course builds upon the foundational knowledge of machine design by introducing advanced concepts in mechanical systems. Students will learn about fatigue analysis, stress concentration factors, and design optimization techniques for complex mechanical components. The course emphasizes practical applications through case studies from industry.
Learning objectives include understanding the principles of finite element analysis, mastering design methodologies for rotating machinery, and applying advanced materials in engineering applications. Students will also gain experience with industry-standard software tools such as ANSYS and SolidWorks for simulation and modeling.
This course explores the principles and applications of power electronics in modern industrial systems. Students will study various power conversion topologies, including rectifiers, inverters, and DC-DC converters, along with their control strategies and applications in motor drives.
The course covers topics such as switching devices, power factor correction, and energy storage systems. Practical sessions involve designing and testing power electronic circuits using laboratory equipment and simulation software.
This course provides a comprehensive understanding of microprocessor architecture and microcontroller applications in embedded systems. Students will study the internal structure of microprocessors, assembly language programming, and interfacing techniques with peripheral devices.
Learning outcomes include designing embedded systems using microcontrollers, developing real-time applications, and understanding the principles of system-on-chip (SoC) design. The course includes laboratory sessions for hands-on experience with development boards and programming tools.
This advanced course focuses on the design and analysis of efficient algorithms and data structures used in computer science and engineering applications. Students will study various algorithmic paradigms including divide-and-conquer, dynamic programming, and greedy methods.
The course emphasizes practical implementation of algorithms using programming languages such as C++ and Python. Students will also learn about complexity analysis and optimization techniques for solving complex computational problems.
This course introduces students to the fundamental concepts and applications of artificial intelligence and machine learning. Topics include neural networks, deep learning architectures, natural language processing, and computer vision.
Students will gain hands-on experience with popular frameworks such as TensorFlow, PyTorch, and scikit-learn. The course includes practical projects involving data analysis, model development, and deployment of AI solutions for real-world applications.
This course covers advanced topics in control system design and analysis, including state-space methods, digital control systems, and robust control techniques. Students will study the mathematical foundations of control theory and apply them to practical engineering problems.
The course emphasizes both theoretical understanding and practical implementation through laboratory experiments and simulation exercises. Students will learn to use MATLAB/Simulink for system modeling and control design.
This course explores the principles and technologies of renewable energy systems including solar, wind, hydroelectric, and geothermal power generation. Students will study the design, operation, and optimization of renewable energy conversion systems.
The course covers topics such as energy storage systems, smart grid integration, and environmental impact assessment of renewable energy projects. Practical sessions involve analyzing real-world case studies and designing small-scale renewable energy systems.
This advanced course focuses on the design and implementation of complex embedded systems for modern applications. Students will study real-time operating systems, hardware-software co-design, and system-on-chip (SoC) architectures.
The course emphasizes practical skills in embedded system development using platforms such as ARM Cortex-M series processors and FPGA-based designs. Students will work on individual projects involving sensor networks, IoT applications, and smart device development.
This course covers advanced topics in cybersecurity including network security protocols, cryptographic algorithms, and security frameworks for enterprise systems. Students will study emerging threats and mitigation strategies in the digital landscape.
The course includes practical exercises in penetration testing, vulnerability assessment, and security policy development. Students will also learn about compliance standards such as ISO 27001 and NIST cybersecurity framework.
This course explores the concepts and technologies of smart grids including power system automation, demand response systems, and distributed energy resources integration. Students will study the challenges and opportunities in modernizing electrical grid infrastructure.
The course covers topics such as grid stability analysis, renewable energy integration, and intelligent control systems for power distribution networks. Practical sessions involve simulation exercises using specialized software tools for grid modeling and analysis.
This advanced course focuses on the design and development of robotic systems with emphasis on artificial intelligence integration, sensor fusion, and autonomous navigation. Students will study advanced robotics architectures and control algorithms.
The course includes hands-on laboratory sessions where students build and program robots for various applications including industrial automation, healthcare assistance, and exploration missions. Students will also learn about emerging trends in robotics such as soft robotics and swarm robotics.
Prestige University Indore's engineering program is built on the principle of project-based learning (PBL), which emphasizes active engagement with real-world problems through structured, hands-on experiences. This approach recognizes that effective engineering education requires students to not only understand theoretical concepts but also apply them in practical contexts.
The PBL framework at our university incorporates both mini-projects and capstone projects throughout the academic journey. Mini-projects are typically undertaken during the second and third years, focusing on specific technical challenges within individual courses or cross-disciplinary topics. These projects allow students to develop problem-solving skills while working in teams under faculty supervision.
Capstone projects, undertaken during the final year, represent the culmination of students' academic experience. These comprehensive projects are designed to address complex, open-ended problems that require integration of multiple engineering disciplines and technologies. Students work closely with industry partners or faculty mentors to develop innovative solutions that have real-world impact.
The evaluation criteria for these projects emphasize not only technical excellence but also creativity, teamwork, presentation skills, and ethical considerations. Students are assessed on their ability to define problems clearly, conduct research effectively, implement solutions, and communicate results professionally.
Project selection involves a rigorous process that considers students' interests, academic performance, and available resources. Faculty mentors are assigned based on expertise alignment with the project scope and student capabilities. This mentorship model ensures that students receive guidance throughout their project journey while maintaining ownership of their work.
The university's innovation ecosystem supports project development through dedicated laboratory spaces, access to cutting-edge equipment, and funding opportunities for prototype development. Students also benefit from regular feedback sessions with industry professionals who provide insights into practical applications and career relevance of their work.
