Search and navigate to colleges and courses
Apply
Scholarships & exams
Fees
N/A
Placement
94.0%
Avg Package
₹6,50,000
Highest Package
₹12,00,000
Fees
N/A
Placement
94.0%
Avg Package
₹6,50,000
Highest Package
₹12,00,000
Seats
150
Students
300
Seats
150
Students
300
| SEMESTER | COURSE CODE | COURSE TITLE | CREDIT STRUCTURE (L-T-P-C) | PREREQUISITES |
|---|---|---|---|---|
| 1 | ME101 | Engineering Mathematics I | 4-0-0-4 | - |
| 1 | ME102 | Physics for Engineers | 3-0-0-3 | - |
| 1 | ME103 | Chemistry for Engineers | 3-0-0-3 | - |
| 1 | ME104 | Basic Electrical Engineering | 3-0-0-3 | - |
| 1 | ME105 | Engineering Drawing & Workshop Practice | 2-0-6-4 | - |
| 1 | ME106 | Introduction to Programming | 3-0-0-3 | - |
| 2 | ME201 | Engineering Mathematics II | 4-0-0-4 | ME101 |
| 2 | ME202 | Strength of Materials | 3-0-0-3 | ME102 |
| 2 | ME203 | Thermodynamics | 3-0-0-3 | ME102 |
| 2 | ME204 | Fluid Mechanics | 3-0-0-3 | ME102 |
| 2 | ME205 | Manufacturing Processes | 3-0-0-3 | ME104 |
| 2 | ME206 | Basic Electronics & Instrumentation | 3-0-0-3 | - |
| 3 | ME301 | Design of Machine Elements | 3-0-0-3 | ME202, ME204 |
| 3 | ME302 | Heat Transfer | 3-0-0-3 | ME203 |
| 3 | ME303 | Mechanics of Machines | 3-0-0-3 | ME201, ME202 |
| 3 | ME304 | Control Systems | 3-0-0-3 | ME201, ME206 |
| 3 | ME305 | Materials Science | 3-0-0-3 | ME103 |
| 3 | ME306 | Computer Applications in Engineering | 2-0-4-4 | ME106 |
| 4 | ME401 | Advanced Manufacturing Techniques | 3-0-0-3 | ME205 |
| 4 | ME402 | Refrigeration & Air Conditioning | 3-0-0-3 | ME203, ME204 |
| 4 | ME403 | Operations Research | 3-0-0-3 | ME201 |
| 4 | ME404 | Energy Conversion Systems | 3-0-0-3 | ME203, ME204 |
| 4 | ME405 | Robotics & Automation | 3-0-0-3 | ME304 |
| 4 | ME406 | Elective I (Selected from list) | 3-0-0-3 | - |
| 5 | ME501 | Finite Element Methods | 3-0-0-3 | ME301, ME302 |
| 5 | ME502 | Hydro Power Engineering | 3-0-0-3 | ME204 |
| 5 | ME503 | Wind Energy Systems | 3-0-0-3 | ME204 |
| 5 | ME504 | Automotive Engineering | 3-0-0-3 | ME301, ME303 |
| 5 | ME505 | Project Management | 3-0-0-3 | - |
| 5 | ME506 | Elective II (Selected from list) | 3-0-0-3 | - |
| 6 | ME601 | Advanced Thermodynamics | 3-0-0-3 | ME203 |
| 6 | ME602 | Non-conventional Energy Sources | 3-0-0-3 | ME203 |
| 6 | ME603 | Sustainable Design Principles | 3-0-0-3 | - |
| 6 | ME604 | Aerospace Propulsion | 3-0-0-3 | ME204 |
| 6 | ME605 | Biomedical Engineering | 3-0-0-3 | ME301, ME302 |
| 6 | ME606 | Elective III (Selected from list) | 3-0-0-3 | - |
| 7 | ME701 | Capstone Project I | 4-0-0-4 | All previous semesters |
| 7 | ME702 | Advanced Topics in Mechanical Engineering | 3-0-0-3 | - |
| 7 | ME703 | Research Methodology | 2-0-0-2 | - |
| 7 | ME704 | Industrial Internship | 0-0-0-6 | - |
| 8 | ME801 | Capstone Project II | 8-0-0-8 | ME701, ME702 |
| 8 | ME802 | Professional Practice | 2-0-0-2 | - |
Advanced departmental electives play a crucial role in shaping students' specialized interests and career paths. Here are detailed descriptions of several key courses:
This elective focuses on the design, development, testing, and manufacturing of vehicles. Students learn about engine performance, vehicle dynamics, safety systems, and electric vehicle technologies. The course includes practical sessions involving engine simulation software and physical model testing.
This course explores various renewable energy sources such as solar, wind, hydroelectric, and geothermal power. Students study energy conversion principles, system design, and environmental impact assessment. Practical components include designing solar panel arrays and analyzing wind farm layouts.
This course combines mechanical design with control theory to develop intelligent robotic systems. Topics include sensor integration, embedded systems programming, path planning algorithms, and machine learning applications in robotics. Hands-on labs involve building autonomous robots using microcontrollers and sensors.
Students learn to use advanced simulation tools such as ANSYS, MATLAB, and SolidWorks to model complex mechanical systems. The course emphasizes finite element analysis, computational fluid dynamics, and optimization techniques for engineering design. Projects include simulating heat transfer in buildings and aerodynamic performance of aircraft.
This elective covers modern manufacturing techniques including additive manufacturing (3D printing), lean production methods, quality control systems, and automation technologies. Students gain exposure to industrial machinery and learn how to optimize manufacturing processes for efficiency and cost-effectiveness.
Combining mechanical principles with biological systems, this course explores applications in medical devices, prosthetics, and rehabilitation technologies. Students study human movement mechanics, tissue engineering, and the design of assistive devices for patients with disabilities.
This course focuses on aircraft and spacecraft design, aerodynamics, propulsion systems, and flight dynamics. Students learn about aircraft stability and control, engine performance analysis, and orbital mechanics. Practical sessions involve wind tunnel testing and flight simulation software.
This course deals with power generation technologies including thermal, nuclear, and renewable energy systems. Students study power plant design, efficiency optimization, environmental regulations, and sustainability practices in energy production.
At Maya Institute Of Technology And Management, project-based learning is central to the Mechanical Engineering curriculum. We believe that real-world problem-solving skills are best developed through hands-on experience with meaningful projects that reflect industry challenges.
The program includes two mandatory mini-projects in early semesters and a comprehensive final-year thesis or capstone project. Mini-projects are typically completed in teams of 3-5 students over 6 weeks, focusing on specific engineering problems such as designing a small-scale solar water heater or developing an automated sorting system.
The final-year project is a year-long endeavor that requires students to apply all their learned knowledge to solve a complex engineering challenge. Students select projects based on personal interest and career goals, often in collaboration with industry partners or faculty research groups.
Faculty mentors guide students throughout the process, helping them refine ideas, access resources, and navigate technical obstacles. Evaluation criteria include innovation, feasibility, presentation quality, and impact potential. The final project is presented to a panel of experts including industry professionals and academic researchers.
