Master's Degree in Industrial Mathematics (M2i)

Presentation

This is a master’s degree in which our School participates, but we do not coordinate it directly.
All the information is available on the website of the master’s degree.

Presentation:

• Organised by the Universities of Santiago de Compostela, A Coruña, Vigo, Carlos III of Madrid, and Technical of Madrid, following the merger of the Master in Mathematical Engineering (7 editions from 2006-2007) and the Master in Industrial Mathematics (2 editions from 2010-2011).
• 2 specialisations: Modelling and Numerical Simulation.
• The main aim of the M2i is to unify subjects of high applied mathematical contents and already taught in specific engineering masters.
• Use of a videoconferencing system and recording of some classes.
• Strong relations with industry.

Some ideas for this master are taken from the report by the Organization for Economic Co-operation and Development (OECD) "Global Science Forum. Report on Mathematics in Industry"

Main Objective

The scientific and technological interests of the M2i mainly focus on four basic aims:

• Expand the analytical skills and knowledge of graduate students who will be part of future research groups and professional teams.
• Instruct the students in mathematical modelling for applications in industry.
• Provide specific skills in relation to the design, construction and management of specific software of at least one industrial sector.
• Introduce students to the research topics and development related to the subjects of the program.

Competencies

BASIC

CB6 - Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of idea , often in a research context.

CB7 - Students should know how to apply the acquired knowledge and their ability to solve problems in new or little known environments within broader (or multidisciplinary) related to their area of study.

CB8 - Students should be able to integrate knowledge and face the complexity of making judgments from information that, incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and ts.

CB9 - Students should be able to communicate their conclusions and their knowledge and reasonsthat support them to specialized and non-specialized audiences in a clear and ambiguous way.

CB10 - Students should possess learning abilities which will allow them to continue studying ina self-directed or autonomous way.

GENERAL

CG1- Have knowledge that provides a basis or opportunity for originality when developing and/or applying ideas, often within a research context and knowing how to industrial needs in terms of R & D in the field of Industrial Mathematics.

CG2 – Be able to apply the acquired knowledge and abilities to solve problems in new or unfamiliar environments within broader contexts, including the ability to integrate iplinary R & D in the business environment.

CG3 – Be able to integrate knowledge in order to state opinions using information that even incomplete or limited, include reflections on social and ethical responsibilities

the application of their knowledge.

CG4 - Have the ability to communicate the conclusions reached together with the knowledge and reasons that supportthem to specialist and non-specialist audiences in nd unambiguous way.

CG5 - Have the appropriate learning skills to be able to continue studying in a way that will largely be self-directed or autonomous, and also to be able to successfully e doctoral studies.

SPECIFIC SKILLS

CE1 - Acquire a basic knowledge in an area of Engineering / Applied Science, as a starting point for an adequate mathematical modelling by using well-established contexts or in new or unfamiliar environments within broader and multidisciplinary contexts.

CE2 - Model specific ingredients and make the appropriate simplifications in a model to facilitate their numerical treatment, maintaining the degree of accuracy, according to previous requirements.

CE3 - Determine if a model in a process is well formulated from a mathematics and physics perspective.

CE4 - Be able to select a set of numerical techniques, languages and tools, appropriate to solve a mathematical model.

CE5 - Be able to validate and interpret the obtained results, comparing them with visualizations, experimental measurements and or functional requirements of the corresponding physical engineering system.

 MODELLING SPECIALIZATION SKILLS

CM1 - Be able to extract, using different analytical techniques, both qualitative and quantitative information on the models.

CM2 - Know how to model elements and complex systems or not very common fields which lead to well-posed formulated problems.

NUMERICAL SIMULATION SPECIALIZATION SKILLS

CS1 - Know, be able to select or use the most suitable professional software tools (both commercial and free) to simulate processes in the industrial and business sector.

CS2 - Adapt, modify and implement software tools for numerical simulation.

Structure and Distribution of Credits

This section includes information regarding the Master in Industrial Mathematics modules as indicated in its verification report (in Spanish).

Each subject includes its general and specific competences (skills).

The classes, with the exception of software subjects and some practical credits, are taught using a shared videoconference system by the universities involved (Universidade de Santiago de Compostela, A Coruña, Vigo, Carlos III University of Madrid and Technical University of Madrid).

Modules:

• Basic Training ,24 Compulsory ECTS

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• Modelling Specialization Module [EM]*,24 ECTS

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• Numerical Simulation Specialization Module [ESN]*,24 ECTS

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• Elective Courses Module*,12 ECTS

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• MSc Dissertation,30 compulsory ECTS

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Courses

• By term
• By year