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M.Tech in Computational Mechanics

A two-year postgraduate programme focused on numerical methods, simulation and programming for advanced engineering analysis.

M.Tech in computational mechanics overview 

The programme prepares engineers to model and solve complex solid, fluid and dynamic problems using modern computational techniques. Students experience:

Core computational methods

Learning numerical methods, Python programming, finite element methods and computational fluid dynamics.

Solids, fluids and dynamics

Courses covering applied solid mechanics, fluid mechanics, vibrations and computational dynamics.

Multiphysics and advanced simulation

Exposure to coupled problems, data analysis and advanced applications such as non-linear FEM and turbulent flows.

Industry and research immersion

Extended project, internship or thesis work focused on real computational mechanics problems.

Programme details

Academic structure

Our academic structure is designed to establish robust foundations, followed by increasing specialization in later years.

  • Credit structure: Total of 62 credits
  • Duration: 2 years / 4 semesters
  • Coursework is covered in Semesters 1 and 2, with project, seminars, internship and thesis across Semesters 3 and 4.
CourseL-T-PCredits
Numerical Methods3-0-03
Programming with Python0-0-31.5
Finite Element Methods and Lab3-0-24
Computational Fluid Dynamics and Programming3-0-24
Applied Solid Mechanics*3-0-01.5
Applied Fluid Mechanics*3-0-01.5
Introduction to Systems Engineering*3-0-01.5
CourseL-T-PCredits
Multiphysics2-0-12.5
Computational Dynamics and Vibrations3-0-24
Programming FEM0-0-21
CFD Lab0-0-21
Communication Skills and Technical Writing2-0-02
Experimental Methods and Statistics*3-0-01.5
Elective I3-0-03
CourseL-T-PCredits
Elective II*6-0-03
Elective III*6-0-03
Thesis / Internship / Project0-0-287
CourseL-T-PCredits
Thesis / Internship0-0-3015
CourseL-T-PCredits
Turbulent Flows3-0-03
Compressible Flows3-0-03
Reacting Flows3-0-03
Turbo Machinery3-0-03
Special Topics in Fluid Mechanics I3-0-03
Special Topics in Fluid Mechanics II3-0-03
Nonlinear FEM3-0-03
Materials Modelling3-0-03
Fracture and Fatigue3-0-03
Composite Materials3-0-03
Design Optimization3-0-03
Machine Learning3-0-03

Eligibility:

To be considered for the M.Tech programmes at Mahindra University:

Indian category & PIO / NRI

  • Minimum 60% aggregate or equivalent in a full-time degree from a recognised university
  • Final-semester candidates may apply

Academic background requirement

  • B.E. / B.Tech in relevant disciplines such as Electrical, Electronics, Communication, Telecommunication, Instrumentation, Computer Science or related areas
  • A valid GATE score is required for GATE-based admission consideration

Application process

  • Submit the online application via the Mahindra University admissions portal
  • Upload academic transcripts and required documents
  • Participate in interview or interaction rounds, as applicable

Fee structure (per annum):

Admission routeAcademic feesHostel chargesCaution deposit*
GATE₹1,00,000Free boarding and lodging through Teaching Assistantship₹20,000
Non-GATE₹1,00,000₹2,10,000₹20,000

*Refundable at the end of study or graduation. Hostel stay is mandatory for B.Tech students. Fees are subject to revision each year.

Stipend

  • For GATE-qualified students: Each GATE-qualified and admitted student is offered a Teaching Assistantship, which includes a stipend of ₹18,000 per month along with free boarding and lodging.
  • For non-GATE students: Based on performance in the M.Tech admission test and interview, a limited number of Teaching Assistantships may be awarded on the recommendation of the University PG Admissions Committee.
  • Scholarships and financial aid: Merit-based and need-based scholarships may be available. Details and eligibility criteria are provided in the admission notification or brochure.

Where global education meets real-world outcomes

From AI and biotechnology to aerospace and consulting, our graduates are shaping industries worldwide; many joining leading firms, founding start-ups, or pursuing advanced study at top universities

250+

Graduate acceptances

for advanced studies at premium universities across the world

100+

Recruiters

offering career-defining opportunities across industries

20+

Global academic partners

collaborating on exchanges, dual degrees, and joint research initiatives

“Here, teaching and research are not separate silos. Every project is an opportunity to involve students, to make them active contributors to new knowledge.”

Dr. Kavita Sharma

Associate Professor of Life Sciences

“The University’s global partnerships have allowed me to co-teach with peers abroad and bring international perspectives into the classroom, something our students truly value.”

Prof. Rajiv Nair

School of Management

“What excites me at Mahindra University is the freedom to pursue interdisciplinary research. Collaborating with colleagues from engineering and social sciences has expanded my work in ways I never imagined.”

Dr. Ananya Mehta

Professor of Computer Science

FAQs

It focuses on FEM, CFD and multi-physics methods used in design and analysis roles across industries.

Students work extensively with simulation tools through lab-linked courses and applied projects.

Yes. The curriculum begins with numerical methods and python programming before advancing to complex simulations.

Mechanical, aerospace, civil and chemical engineering graduates are eligible.

Graduates move into design, analysis and research roles in aerospace, automotive, energy, manufacturing and consulting.

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