M.Tech IN Computational Mechanics
The innovative Specialization of Computational Mechanics in M.Tech Mechanical Engineering specializes in concentrates on using numerical and computational methods to address challenging mechanical issues. Advanced numerical techniques for solving mechanical systems, computational fluid dynamics (CFD) for simulating fluid flow and heat transfer, and finite element analysis (FEA) for structural and thermal analysis are all covered in-depth in this program. To improve system performance, students will also investigate optimization strategies and develop their knowledge of high-performance computing for extensive simulations. Graduates of this program will be prepared for advanced jobs in industry and research by gaining the fundamental skills necessary for modeling, analyzing, and optimizing mechanical systems.
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Program Features
- Computational Mechanics in M-Tech Mechanical Engineering In M-Tech Mechanical Engineering is a lateral entry, recognized by UGC.
- This program is of 4 semesters mainly for working professionals, conducted online on weekends or after office or business hours.
- Lectures and exams will be conducted online.
- Lectures will be delivered by industry professionals and experienced faculty members through digital mode.
- In the final or last semester, students will work on dissertations where they can apply knowledge, concepts, and technical learning attained during the course to solve real-world problems.
- Continuous Evaluation System will be used during the program. Through this system, working professionals can get regular feedback which will help them to stay up to date with the program.
- After completing this M-Tech Mechanical Engineering Program, graduates will be awarded the degree of M-Tech in Computational Mechanics.
Program Structure
Semester 1
Semester 2
Semester 3
Semester 4
Study Advance Engineering Mathematics
Concepts of Computational Fluid Dynamics
Emerging Topics of Computational Mechanics
Real-world Application of Computational Mechanics
Computational Mechanics fundamental s
Understand the Experimental Techniques in Mechanics
Machine Learning & Data Analytics
Research Methodology
Deep Learning of Finite Elements Analysis
Study About Structural Analysis
Dynamics of Mechanical System
Study Advanced Simulation & Computational Mechanics
Mechanics Engineering
Deep Study Of Thermodynamics & Heat Transfer
Understanding of Nonlinear Mechanics
Practical of Advanced Simulation
Understand Numerical Methods for Mechanical Systems
FEM Finite Element Method
Optimization Techniques in Engineering
Dissertation
Practical of Advanced Computational Mechanics
Practical Finite Element Analysis
Practical of Nonlinear Mechanics
Project Work/Comprehensive Viva
- Must be B-Tech Degree Holder.
- Working Professionals with a minimum of 45% marks or equivalent.
- Must have 1 year of working experience.
Program Learning Methodology
Flipped Classroom for the Active Learning
Recorded & Live Lectures with cutting-edge tutorials
Work integrated Benefits
Educational & Industry Mentorship
Interact, Communicate & Collaborate with peers & Professors or Faculty
E- portfolio & Peer Assessment & Continuous Monitoring
Practice Multimedia as well as open educational resources
Project Work/ Dissertation & Practical Learning
Program Fee Structure
- One-time Application Fees:
- Per Semester Fees:
- Per Semester Examination Fees:
