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Numerical Methods in Engineering, M.Sc.

  • Anytime
    Application Deadline
  • 24 months
    Duration
University rank #275 (QS) Online
The master’s degree in Numerical Methods in Engineering provides multidisciplinary training in computational mechanics in view of the growing demand for accurate and reliable numerical simulations. It aims to produce specialists in the theory and applications of calculation methods for product and process design, in the widest possible sense.

About

Graduates will immediately be able to apply the knowledge acquired in industry. Their solid scientific training will also enable them to pursue a doctoral degree.

This Numerical Methods in Engineering programme is offered by Universitat Politècnica de Catalunya · BarcelonaTech (UPC)

Professional opportunities

The course addresses real educational needs in Europe and worldwide. Computational mechanics is set to become even more multidisciplinary than in the past, and it is expected that in the coming decade the demand for accurate and reliable numerical simulation of engineering systems will undergo explosive growth and have a major impact on our everyday lives.

Graduates of this master's degree course will be experts in numerical methods in engineering. They will be professionals able to put into practice the acquired knowledge directly to industry and they will also have the necessary scientific background to apply for a PhD position successfully.

CompetenciesGeneric competencies

Generic competencies are the skills that graduates acquire regardless of the specific course or field of study. The generic competencies established by the UPC are capacity for innovation and entrepreneurship, sustainability and social commitment, knowledge of a foreign language (preferably English), teamwork and proper use of information resources.

Specific skills
  • Solve problems using numerical and computational methods, having completed and consolidated their basic training in this field and reinforced their knowledge of the basic elements and specific applications.
  • Understand and master the theories and applications of numerical methods for solving engineering problems.
  • Apply, based on their experience and a critical approach, numerical methods through the use of calculation programs, graphics pre- and post-processors, programming language and scientific calculation libraries.
  • Come up with conventional solutions based on consolidated knowledge, criteria and critical thinking, and analyse results for problems that are characteristic of numerical modelling.
  • Show knowledge of and acquire critical awareness of the European Union and international vanguard in the use of numerical methods in engineering.
  • Strengthen skills for solving real engineering problems through numerical modelling, using the identification of the underlying mathematical model, the most appropriate method of calculation and the critical interpretation of the results.
  • Independently use their knowledge and understanding of computational engineering to design solutions to new or unfamiliar problems, incorporating knowledge gained and knowing how to use the theory and practices of other disciplines, where appropriate, and designing new, original problem-solving methods that are suited to the objectives.
  • Understand the applicability and the limitations of numerical modelling and existing calculation technologies.
  • Independently and expertly look for, filter, collect and synthesise ground-breaking scientific and technical information.
  • Be familiar with advanced numerical modelling applied to various areas of engineering: civil, environmental, mechanical, aerospace, nanoengineering and bioengineering.
  • Apply the latest numerical technologies to solving basic problems (numerical linear algebra, optimisation, etc.).
  • Show knowledge of the modern physical models of materials science (advanced constitutive models) in solid and fluid mechanics.
  • Use and have knowledge of quality control techniques for numerical simulation (validation and verification).
  • Use modern numerical simulation tools competently and apply them to the typical problems of multidisciplinary engineering.
  • Understand the applicability and the limitations of the different numerical simulation techniques.
  • Use existing calculation programs and preprocessors and postprocessors and show knowledge of programming languages and standard calculation libraries.

Programme Structure

Courses include:
  • Advanced Fluid Mechanics
  • Communication Skills 1
  • Computational Mechanics Tools
  • Continuum Mechanics
  • Finite Element
  • Numerical Methods for Pdes 5
  • Computational Solid Mechanics
  • Computational Structural Mechanics and Dynamics
  • Coupled Problems
  • Domain Descomposition and Large Scale Scientific Computing
  • Finite Elements in Fluids
  • Programming for Engineers and Scientists
  • Advanced Discretization Methods
  • Communication Skills 2
  • Entrepreneurship
  • Industrial Training
  • Master's Thesis

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 24 months
  • Credits
    120 ECTS
  • Languages
    • English
  • Delivery mode
    Online

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Academic Requirements

  • All applications will be evaluated according to the following criteria:
  • Suitability of the student’s prior qualifications and learning in relation to the content of the master’s degree.
  • Academic record.
  • Curriculum vitae.
  • Motivation letter and two letters of recommendation.
  • Certificate of English language skills at a level above B2.

Getting a Student Visa

This is an online programme. You can attend from the comfort of your chair! So you don't need a student visa!

Tuition Fee

  • International Applies to you

    9802 EUR/year
    Tuition Fee
    Based on the original amount of 9802 EUR per year and a duration of 24 months.
  • EU/EEA Applies to you

    6535 EUR/year
    Tuition Fee
    Based on the original amount of 6535 EUR per year and a duration of 24 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Funding

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