Integral University B.Tech Admissions 2024
ApplyNAAC A+ Accredited | Highest CTC 12 LPA | Scholarships Available
Total Fees 3.09 L | Exam CUET PG |
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MODE
Full timeDURATION
24 MonthsThe M. Tech. in Computational Fluid Dynamics program offered by UPES School of Advanced Engineering is a comprehensive two-year graduate program that equips students with cutting-edge tools and techniques for numerically simulating intricate mechanical systems, covering fluid dynamics, structural dynamics, and mechanics of materials. By employing high-speed digital computers, students learn to solve governing partial differential equations and constitutive relations, enabling them to gain valuable insights into the thermo-fluidic-structural aspects of mechanical systems.
The curriculum comprises advanced courses in fluid and structural mechanics, as well as basic and advanced numerical algorithms for fluid mechanics and structural dynamics. Students also engage in hands-on software and coding exercises to strengthen their practical skills. The program culminates with a one-year thesis, providing students with an opportunity to undertake in-depth research and showcase their expertise in a specific area of Computational Fluid Dynamics.
This program goes beyond aerospace and mechanical engineering applications, as Computational Fluid Dynamics is a versatile research and design tool utilized in various engineering disciplines involving fluid flows, structural dynamics, and multidisciplinary optimization. By combining theoretical knowledge with practical experience, graduates of this program will be well-equipped to tackle real-world engineering challenges, contribute to research endeavors, and advance innovation in a wide range of industries.
Interested students must meet the minimum eligibility criteria for M. Tech. in Computational Fluid Dynamics as stated below:
The selection criteria for students interested in the M. Tech. program in Computational Fluid Dynamics, offered by UPES School of Advanced Engineering, depend on the individual's performance in Personal Interview.
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