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Fees
₹3,50,000
Placement
93.0%
Avg Package
₹5,50,000
Highest Package
₹9,50,000
Fees
₹3,50,000
Placement
93.0%
Avg Package
₹5,50,000
Highest Package
₹9,50,000
Seats
120
Students
1,200
Seats
120
Students
1,200
The Mechanical Engineering program at Pragjyotishpur University Kamrup is designed to provide students with a comprehensive and progressive learning experience across eight semesters. The curriculum integrates foundational sciences, core engineering principles, and specialized electives to ensure that graduates are well-prepared for diverse career paths in the field of mechanical engineering.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MAT101 | Calculus and Differential Equations | 3-1-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | CHE101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | ENG101 | Engineering Mechanics | 3-1-0-4 | - |
| 1 | CSE101 | Introduction to Programming | 2-0-2-3 | - |
| 1 | ME101 | Engineering Drawing and Design | 2-0-2-3 | - |
| 1 | LIT101 | English for Engineers | 2-0-0-2 | - |
| 1 | PHY102 | Physics Laboratory | 0-0-3-1 | PHY101 |
| 1 | CHE102 | Chemistry Laboratory | 0-0-3-1 | CHE101 |
| 2 | MAT201 | Linear Algebra and Statistics | 3-1-0-4 | MAT101 |
| 2 | PHY201 | Thermodynamics and Heat Transfer | 3-1-0-4 | PHY101 |
| 2 | CHE201 | Materials Science | 3-1-0-4 | CHE101 |
| 2 | ENG201 | Mechanics of Materials | 3-1-0-4 | ENG101 |
| 2 | CSE201 | Data Structures and Algorithms | 2-0-2-3 | CSE101 |
| 2 | ME201 | Manufacturing Processes | 3-1-0-4 | ENG101 |
| 2 | LIT201 | Communication Skills | 2-0-0-2 | - |
| 2 | MAT202 | Statistics Laboratory | 0-0-3-1 | MAT201 |
| 2 | PHY202 | Thermodynamics Laboratory | 0-0-3-1 | PHY201 |
| 3 | MAT301 | Differential Equations and Numerical Methods | 3-1-0-4 | MAT201 |
| 3 | ME301 | Fluid Mechanics | 3-1-0-4 | ENG201 |
| 3 | ME302 | Mechanical Design and Drafting | 3-1-0-4 | ENG201 |
| 3 | ME303 | Machine Elements | 3-1-0-4 | ENG201 |
| 3 | ME304 | Heat Transfer | 3-1-0-4 | PHY201 |
| 3 | CSE301 | Computer Aided Design | 2-0-2-3 | CSE201 |
| 3 | ME305 | Control Systems | 3-1-0-4 | MAT301 |
| 3 | ME306 | Manufacturing Engineering | 3-1-0-4 | ME201 |
| 3 | LIT301 | Technical Writing | 2-0-0-2 | - |
| 3 | ME307 | Fluid Mechanics Laboratory | 0-0-3-1 | ME301 |
| 3 | ME308 | Heat Transfer Laboratory | 0-0-3-1 | ME304 |
| 4 | MAT401 | Advanced Mathematics | 3-1-0-4 | MAT301 |
| 4 | ME401 | Advanced Manufacturing | 3-1-0-4 | ME306 |
| 4 | ME402 | Aerodynamics | 3-1-0-4 | ME301 |
| 4 | ME403 | Thermofluids | 3-1-0-4 | ME304 |
| 4 | ME404 | Project Management | 3-1-0-4 | - |
| 4 | CSE401 | Simulation and Modeling | 2-0-2-3 | CSE301 |
| 4 | ME405 | Renewable Energy Systems | 3-1-0-4 | ME304 |
| 4 | ME406 | Advanced Control Systems | 3-1-0-4 | ME305 |
| 4 | LIT401 | Presentation Skills | 2-0-0-2 | - |
| 4 | ME407 | Advanced Manufacturing Laboratory | 0-0-3-1 | ME401 |
| 5 | ME501 | Finite Element Analysis | 3-1-0-4 | ME303 |
| 5 | ME502 | Robotics and Automation | 3-1-0-4 | ME305 |
| 5 | ME503 | Advanced Materials | 3-1-0-4 | CHE201 |
| 5 | ME504 | Computational Fluid Dynamics | 3-1-0-4 | ME301 |
| 5 | ME505 | Energy Storage Systems | 3-1-0-4 | ME304 |
| 5 | ME506 | Quality Control and Reliability | 3-1-0-4 | - |
| 5 | CSE501 | Machine Learning for Engineers | 2-0-2-3 | CSE401 |
| 5 | LIT501 | Leadership and Ethics | 2-0-0-2 | - |
| 5 | ME507 | Materials Testing Laboratory | 0-0-3-1 | ME503 |
| 5 | ME508 | CFD Laboratory | 0-0-3-1 | ME504 |
| 6 | ME601 | Advanced Thermodynamics | 3-1-0-4 | ME304 |
| 6 | ME602 | Design Optimization | 3-1-0-4 | ME302 |
| 6 | ME603 | Advanced Manufacturing Processes | 3-1-0-4 | ME401 |
| 6 | ME604 | Systems Engineering | 3-1-0-4 | - |
| 6 | ME605 | Energy Conversion Systems | 3-1-0-4 | ME304 |
| 6 | ME606 | Product Design and Development | 3-1-0-4 | ME302 |
| 6 | CSE601 | Data Science for Engineers | 2-0-2-3 | CSE501 |
| 6 | LIT601 | Entrepreneurship | 2-0-0-2 | - |
| 6 | ME607 | Product Design Laboratory | 0-0-3-1 | ME606 |
| 6 | ME608 | Advanced Manufacturing Project | 0-0-3-1 | ME603 |
| 7 | ME701 | Capstone Project I | 4-0-0-4 | - |
| 7 | ME702 | Research Methodology | 3-1-0-4 | - |
| 7 | ME703 | Specialized Electives | 3-1-0-4 | - |
| 7 | ME704 | Professional Ethics and Standards | 2-0-0-2 | - |
| 7 | ME705 | Industry Internship | 0-0-6-3 | - |
| 7 | LIT701 | Professional Communication | 2-0-0-2 | - |
| 8 | ME801 | Capstone Project II | 4-0-0-4 | ME701 |
| 8 | ME802 | Advanced Specialized Topics | 3-1-0-4 | - |
| 8 | ME803 | Final Thesis | 4-0-0-4 | ME702 |
| 8 | ME804 | Industry Project | 0-0-6-3 | - |
| 8 | LIT801 | Leadership Development | 2-0-0-2 | - |
The department at Pragjyotishpur University Kamrup places a strong emphasis on project-based learning as a core pedagogical approach. This methodology is designed to bridge the gap between theoretical knowledge and practical application, ensuring that students can effectively translate academic concepts into real-world solutions.
Mini-projects are integrated throughout the program's curriculum, beginning in the second year and culminating in the final-year capstone project. These projects are structured to develop technical skills, enhance problem-solving abilities, and foster teamwork among students. The evaluation criteria for these projects include design innovation, technical execution, presentation quality, and peer collaboration.
Each mini-project is assigned a specific theme or challenge that aligns with current industry trends and engineering requirements. Students are encouraged to select projects that interest them while ensuring they meet the program's learning objectives. Faculty mentors guide students through the project lifecycle, from initial concept development to final implementation.
The final-year thesis/capstone project represents the culmination of the student's academic journey. It provides an opportunity for students to conduct in-depth research, apply advanced engineering principles, and demonstrate their ability to work independently on complex problems. The project is typically conducted in collaboration with industry partners or research institutions, providing students with real-world exposure and networking opportunities.
Advanced departmental electives are designed to provide students with specialized knowledge and skills that complement their core curriculum. These courses offer in-depth exploration of specific areas within mechanical engineering, preparing students for advanced roles in industry or further academic pursuits.
This course delves into the theoretical foundations of thermodynamics, including thermodynamic properties, energy transformations, and entropy analysis. Students explore advanced topics such as non-equilibrium thermodynamics, thermodynamic cycles, and applications in renewable energy systems. The course emphasizes mathematical rigor and practical applications, preparing students for research and development roles in energy sectors.
This elective focuses on numerical methods for solving fluid flow problems, including Navier-Stokes equations, turbulence modeling, and boundary layer analysis. Students learn to use industry-standard software tools such as ANSYS Fluent and OpenFOAM to simulate complex fluid systems. The course includes practical applications in aerodynamics, heat transfer, and environmental engineering.
This course covers the design and control of robotic systems, including kinematics, dynamics, sensor integration, and machine learning applications. Students explore topics such as industrial automation, autonomous vehicles, and smart manufacturing systems. The course combines theoretical concepts with hands-on laboratory work using robotics kits and simulation software.
This course provides a comprehensive overview of advanced materials including composites, ceramics, polymers, and nanomaterials. Students study material structure-property relationships, processing techniques, and applications in engineering systems. The course includes laboratory sessions on materials characterization and testing.
This elective explores various energy storage technologies including batteries, supercapacitors, and compressed air systems. Students examine the principles of energy conversion, system design, and optimization techniques. The course emphasizes sustainable solutions for renewable energy integration and grid stability.
This course teaches students how to apply finite element methods for structural analysis, heat transfer, and fluid flow problems. Students learn to use commercial software packages such as ANSYS and ABAQUS to model complex engineering systems. The course includes practical applications in aerospace, automotive, and civil engineering.
This elective introduces machine learning concepts and algorithms specifically tailored for engineering applications. Students learn to apply data-driven methods to solve problems in design optimization, predictive maintenance, and process control. The course includes hands-on projects using Python libraries such as scikit-learn and TensorFlow.
This course covers the entire product development lifecycle from concept generation to market launch. Students learn design principles, prototyping techniques, user experience analysis, and manufacturing considerations. The course emphasizes innovation management and sustainable design practices.
This elective explores systems thinking approaches for engineering problem-solving, including system modeling, optimization, and risk analysis. Students study complex system behavior, integration challenges, and performance evaluation techniques. The course includes case studies from various industries including automotive, aerospace, and manufacturing.
This course provides comprehensive coverage of renewable energy systems including solar, wind, hydroelectric, and geothermal technologies. Students examine system design principles, efficiency optimization, and environmental impact assessment. The course includes practical sessions on renewable energy system installation and maintenance.
This elective covers emerging manufacturing technologies including additive manufacturing, precision machining, and smart manufacturing systems. Students explore process optimization techniques, quality control methods, and automation strategies. The course includes laboratory sessions on modern manufacturing equipment and software tools.
This course focuses on advanced control theory and design methodologies for complex engineering systems. Students learn about state-space representation, digital control systems, and optimal control techniques. The course emphasizes practical applications in automotive, aerospace, and industrial automation sectors.
This elective provides in-depth study of aerodynamic principles and their application to aircraft design and performance analysis. Students explore boundary layer theory, compressible flow, and computational methods for aerodynamic analysis. The course includes laboratory sessions on wind tunnel testing and CFD simulations.
This course covers advanced topics in heat transfer and thermal systems design, including conduction, convection, and radiation heat transfer. Students examine thermal management in electronic systems, HVAC applications, and energy conversion processes. The course includes practical sessions on thermal testing and system optimization.
This elective focuses on statistical methods for quality control, reliability analysis, and risk assessment in engineering systems. Students learn about Six Sigma methodologies, failure analysis techniques, and preventive maintenance strategies. The course includes practical applications in manufacturing and industrial engineering.
