M.Tech. Computational Fluid Dynamics

The 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.

• The M. Tech. in Computational Fluid Dynamics program at UPES School of Advanced Engineering offers a well-rounded curriculum, integrating advanced computational tools with engineering principles to solve complex structural and fluid mechanics problems.
• Students gain hands-on experience through real-world industry projects, fostering practical skills in using cutting-edge simulation and computational techniques.
• The M. Tech. in Computational Fluid Dynamics program is taught by a team of experienced faculty members who are experts in their respective fields, ensuring high-quality education and mentorship.
• Students have access to research opportunities in collaboration with industry partners and research centers, enabling them to contribute to innovative advancements in Computational Fluid Dynamics.
• UPES provides state-of-the-art facilities, including high-performance computing labs and specialized software, supporting students in their academic pursuits and research endeavors.
• The university offers dedicated placement support and strong industry connections, increasing students' employability and career prospects in leading engineering sectors worldwide.

The future scope of M. Tech. in Computational Fluid Dynamics is promising and dynamic. As simulation-driven design becomes indispensable for faster and cost-effective product development, Computational Fluid Dynamics plays a crucial role in simulating and optimizing complex engineering problems. With the increasing demand for high-performance computing resources, engineers can handle large-scale simulations, ensuring accuracy and efficiency. The integration of multi-physics simulations, optimization, uncertainty quantification techniques, and machine learning and artificial intelligence enhances design exploration and data-driven decision-making. Computational Fluid Dynamics offers vast opportunities across various industries, addressing industry-specific challenges and fostering innovation. Pursuing a Master's in Computational Fluid Dynamics equips engineers with valuable skills to tackle intricate engineering challenges, drive innovation, and make informed decisions. However, continuous learning and staying updated with emerging technologies are essential for professionals in this field to stay at the forefront of cutting-edge research and development.

Completing the M. Tech. in Computational Fluid Dynamics program offered by UPES School of Advanced Engineering opens up a plethora of promising career opportunities for graduates. Equipped with a strong foundation in advanced computational techniques, graduates can pursue exciting roles in industries like aerospace, automotive, civil engineering, and research institutions. They can become Simulation Engineers, Structural Analysts, Finite Element Analysts, or Computational Fluid Dynamics Specialists. Additionally, opportunities abound in academia and consulting firms, where their expertise in solving complex engineering problems using cutting-edge computational tools is highly valued. With a blend of theoretical knowledge and practical skills, UPES graduates are well-prepared to make significant contributions to the field of Computational Fluid Dynamics and drive innovation in various sectors.

The M. Tech. program in Computational Fluid Dynamics at UPES School of Advanced Engineering equips students with the skills and expertise to excel in the field of computational analysis and engineering simulations. With a focus on practical applications and hands-on training, graduates from this program have witnessed exceptional placement opportunities. Renowned companies from various industries actively seek out UPES graduates due to their proficiency in solving real-world engineering challenges using cutting-edge computational tools. The program's strong industry connections and dedicated placement cell ensure that students secure lucrative positions in esteemed organizations, thus fostering a bright and promising future for aspiring Computational Fluid Dynamics professionals.

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Interested students must meet the minimum eligibility criteria for M. Tech. in Computational Fluid Dynamics as stated below: 

1. Minimum 60% marks at Higher and Senior Secondary level (10th and 12th).
2. B.Tech /BE in Aerospace/ Aeronautical/ Mechanical/ Civil/ Chemical Eng. with a minimum of 60% marks. Gate / NET Qualified will be preferred.

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.

Semester 1

Semester 2

Semester 3

Semester 4

Electives