Become an expert in CFD simulation in only few months and with total freedom of organization" 

Computational Fluid Dynamics encompasses a wide range of sciences, such as Mathematics, Computer Science, Engineering and Physics. This technique uses numerical methods and algorithms to study and solve the different difficulties that may arise in the simulation of fluid motion. For this reason, professionals working in this field require very advanced skills and knowledge in algorithms, methods and the models that make up a simulator, and are increasingly in demand. 

This is the reason why TECH has designed a professional master’s degree in Computational Fluid Dynamics, to provide students with specialized skills and knowledge in CFD simulation with which to face a successful future career in this area. In this way, the teaching materials cover topics such as the origin of turbulence, CFD modeling, advanced mathematics for CFD, artificial intelligence, moving contours and multiphysics simulations, among many other sections. 

All this, giving total freedom to the student to adapt their schedules and studies, combining them with their other work and personal obligations, thanks to a 100% online modality, in addition to the most dynamic multimedia materials, information extracted from the most rigorous and updated sources, as well as the most efficient teaching methodology. 

Get the most comprehensive knowledge in CFD and boost your professional profile in one of the most promising sectors of the IT industry"

This professional master’s degree in Computational Fluid Dynamics contains the most complete and up-to-date program on the market. The most important features include:  

• The development of case studies presented by experts in Computational Fluid Dynamics 
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice 
• Practical exercises where self-assessment can be used to improve learning. 
• Its special emphasis on innovative methodologies  
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments 
• Content that is accessible from any fixed or portable device with an Internet connection 

Thanks to the most updated theoretical and practical material you will be able to know all the novelties of the Computational Fluid Dynamics" 

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.  

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.  

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Enjoy all the specialized information on compressible fluids and multiphase flow to expand your knowledge in the subject"

Access all the content from day one and acquire new skills in fluid turbulence modeling"

The objective of this professional master’s degree in Computational Fluid Dynamics is to give the student the ability to work in the industry as an advanced user and developer of CFD tools. All this, thanks to the most complete, dynamic and updated contents in the academic market. 

Specialize in one of the most promising areas of Computer Science and stand out for your new skills, thanks to TECH"  

General Objectives

• Establish the basis for the study of turbulence
• Develop CFD statistical concepts 
• Determine the main calculation techniques in Turbulence Research
• Generate specialized knowledge in the method of Finite Volumes
• Acquire specialized knowledge in fluid mechanic calculation techniques
• Examine the wall units and the different regions of a turbulent wall flow
• Determine the characteristics of compressible flows 
• Examine multiple models and multiphase methods
• Develop expertise on multiple models and methods in multiphysics and thermal analysis
• Interpret the results obtained by correct post-processing

Specific Objectives

Module 1. Fluid Mechanics and High-Performance Computing

• Identify the equations of turbulent flows
• Examine the closure problem 
• Establish the dimensionless numbers needed for modeling 
• Analyze the main CFD techniques 
• Examine the main experimental techniques 
• Develop the different types of supercomputers 
• Show the future: GPU 

Module 2. Advanced Mathematics for CFD

• Develop the mathematical concepts of turbulence
• Generate specialized knowledge on the application of statistics to turbulent flows
• Substantiate the method of solving CFD equations
• Demonstrate methods of solving algebraic problems
• Analyze the multigrid method 
• Examine the use of eigenvalues and eigenvectors in CFD problems 
• Determine methods for solving non-linear problems

Module 3. CFD in Research and Modeling Environments

• Analyze the future of artificial intelligence in turbulence 
• Apply classical discretization methods to Fluid Mechanics problems
• Determine the different turbulent structures and their importance
• Show the method of characteristics 
• Present the effect of the evolution of supercomputing on CFD problems
• Examine the main open problems in turbulence

Module 4. CFD in Application Environments: Finite Volumes Methods

• Analyze the FEM or MVF environment 
• Specify what, where and how the boundary conditions can be defined 
• Determine possible time steps 
• Define and design Upwind schemes 
• Develop high order schemes 
• Examine convergence loops and in which cases to use each one 
• Expose the imperfections of CFD results

Module 5. Advanced Methods for CFD

• Develop the Finite Element Method and the Smoothed Particle Hydrodynamics Method
• Analyze the advantages of Lagrangian versus Eulerian methods, in particular, SPH vs. FVM 
• Analyze the Monte Carlo Direct Simulation method and the Lattice-Boltzmann Method
• Evaluate and interpret spatial aerodynamics and microfluid dynamics simulations
• Establish the advantages and disadvantages of LBM versus the traditional FVM method

Module 6. Modeling of Turbulence in Fluids

• Apply the concept of orders of magnitude
• Present the problem of closure of the Navier-Stokes equations
• Examine energy budget equations 
• Develop the concept of turbulent viscosity 
• Substantiate the different types of RANS and LES
• Present the regions of a turbulent flow
• Model the energy equation 

Module 7. Compressible Fluids

• Develop the main differences between compressible and incompressible flow
• Examine typical examples of the occurrence of compressible fluids
• Identify the peculiarities in the solution of hyperbolic differential equations
• Establish the basic methodology for solving the Riemann problem
• Compile different resolution strategies 
• Analyze the pros and cons of the different methods
• Present the applicability of these methodologies to the Euler / Navier-Stokes equations showing classical examples

Module 8. Multiphase Flow

• Distinguish what type of multiphase flow is to be simulated: continuous phases, such as simulating a ship at sea, a continuous medium; discrete phases, such as simulating specific droplet trajectories and use statistical populations when the number of particles, droplets or bubbles is too large to be simulated
• Establish the difference between Lagrangian, Eulerian and mixed methods
• Determine the tools best suited to the type of flow to be simulated 
• Model the effects of surface tension and phase changes such as evaporation, condensation or capitation 
• Develop boundary conditions for wave simulation, learn about the different wave models and apply the so-called numerical beach, a region of the domain located at the exit whose objective is to avoid wave reflection

Module 9. Advanced CFD Models

• Distinguish what type of physical interactions are to be simulated: fluid-structure, such as a wing subject to aerodynamic forces, fluid coupled with rigid body dynamics, such as simulating the motion of a buoy floating in the sea, or thermofluid, such as simulating the distribution of temperatures in a solid subject to air currents
• Distinguish the most common data exchange schemes between different simulation software and when one or the other can or is best to be applied 
• Examine the various heat transfer models and how they can affect a fluid 
• Model convection, radiation and diffusion phenomena from a fluid point of view, model sound creation by a fluid, simulations with advection-diffusion terms to simulate continuous or particulate media and model reactive flows

Module 10. Post-Processing, Validation and Application in CFD

• Determine the types of post-processing according to the results to be analyzed: purely numerical, visual or a mixture of both
• Analyze the convergence of a CFD simulation 
• Establish the need for CFD validation and know basic examples of CFD validation
• Examine the different tools available on the market 
• Provide a foundation for the current context of CFD simulation

Reach the most demanding goals thanks to the most innovative and practical CFD simulation tools"