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Official Master's Degree in Research in Engineering Systems Modeling (MRE)

Logo audit medianoDecisions in business and industrial activity are based on models that consider their level of complexity and uncertainty, and the ambiguity of the criteria adopted. The Official Master's Degree in Research in Engineering Systems Modeling (MRE) provides the students with advanced modeling, simulation and data analysis tools necessary to deal with this sort of task.

The MRE program encompasses research methods and tools in the field of Engineering Systems. This is the qualification recommended for students wishing to be admitted to Comillas ICAI doctorate programs.

The following include some of the main fields of application of the Master's program:

  • Electrical power
  • Energy and the environment
  • Information and communications technology
  • Railway systems
  • Electronic and automated systems
  • Materials, manufacture and computational mechanics
  • Industrial systems

Comillas ICAI has been a collaborator in research projects alongside leading institutions in these sectors. This experience is conveyed through the training provided to the students and caters to the proven demand in the field.

The Master's program workload consists of 60 ECTS credits (over one academic year) comprising 300 class hours and an equivalent workload consisting of research tasks.

  1. Information
  2. Academic regulations
  3. Skills
  4. Curriculum
  5. Admission information
  6. Frequently Asked Questions
  7. Faculty
  8. Career & academic prospects

Enrollment closed




The subjects may be taught in Spanish if all the registered students have mastered Spanish to at least C2 level according to the Common European Framework of Reference for Languages (CEFR).


Applicant profile:

University graduates wishing to gain a deeper understanding of the methods, techniques and tools required to engage in research and/or be admitted to a doctorate program in the sphere of engineering systems.

Students wishing to acquire a specialized knowledge of engineering systems modeling techniques considering uncertainty and ambiguity, which must be included in any decision-making processes.



ICAI School of Engineering
C/ Alberto Aguilera 25


Classes begin on:

September, 2017


Course times:

Times: 15:00 - 18:00 - From Monday to Saturday.

- First Term Timetables

- Second Term Timetables

Academic Calendar MRE 2016/17 

Academic Calendar Comillas Pontifical University 2016/2017



60 ECTS (European Credit Transfer System) credits. Attendance mode: full time (over one academic year) or part time (over two academic years).


Places available:



Information point:

ICAI School of EngineeringComillas Pontifical University
C/ Alberto Aguilera 25 - 28015 Madrid Tel. +34 91 540 62 55

Course Director: Miguel A. Sanz Bobi This email address is being protected from spambots. You need JavaScript enabled to view it.



  • Having acquired advanced knowledge and demonstrated, in the context of scientific, technological or highly specialized research, a solid and specialized understanding of theoretical and practical aspects as well as the work methods in one or more fields of study.
  • Ability to apply and integrate their knowledge, their understanding of such, in addition to their scientific reasoning and problem-solving abilities in new and undefined environments, including multidisciplinary contexts involving highly specialized researchers and practitioners.
  • Knowing how to evaluate and select the most appropriate scientific theoretical framework and methodology from their fields of study to formulate opinions on the basis of incomplete or limited information including, when necessary and appropriate, their views on social responsibility issues or the ethical repercussions linked to the solution proposed in each case.
  • Being able to predict and control the evolution of complex situations by developing new and innovative work methodologies adapted to the specific scientific/research, technological or professional field, generally multidisciplinary, in which they work.
  • Being able to communicate findings from scientific and technological research, including those of a highly innovative nature, as well as the most relevant foundations on which these are based to a specialized or lay audience in a clear and unambiguous manner.
  • Having built the confidence necessary to participate in research projects and scientific and technological collaborations within their field of expertise, in interdisciplinary contexts and, where appropriate, involving significant knowledge transfer.
  • Being able to take responsibility for their own professional development and specialization in one or more fields of expertise.


  • Understanding and applying the different approaches currently used in data analysis, including both statistical and data mining techniques.
  • Understanding the most frequently used optimization techniques, the mathematical principles that underpin them, and their potential to be used appropriately in different contexts.
  • Applying the different optimization techniques available for problem formulation and solving.
  • Modeling the behavior of real-life systems using simulation techniques, and analyzing the results using statistical techniques.
  • Understanding the different stages of a research project from beginning to knowledge transfer to the public.
  • Transferring research results to the public by presenting and/or publishing them in scientific contexts.
  • Knowing how to use the essential tools to cover a research topic.
  • Having a global perspective of the main research challenges in the context of engineering systems.
  • Mastering the techniques, methods and/or tools needed to cover a research topic in a specific sector or technological context.
  • Setting the boundaries of a specific research topic in terms of knowledge, thus pinpointing any outstanding challenges so as to be able to establish clear and well-defined research objectives.
  • Applying the skills acquired in the Master's program to a particular research topic, with the student having clearly identified the objectives, and summarizing the results obtained by employing the standard methods of the specific field of knowledge to which the research topic is circumscribed.

The course consists of a methodology module worth 30 ECTS credits and a research module worth another 30 ECTS credits.

The methodology module comprises 15 ECTS credits of compulsory subjects and a selection of optional subjects for the student to study another 15 credits. All research module credits are compulsory.

MRE-513 Intelligent data analysis Compulsory 3 1 all
MRE-511 Deterministic optimization Compulsory 3 1 all
MRE-523 Simulation methods Compulsory 3 2 all
MRE-521 Publishing research results Compulsory 3 2 all
MRE-501 Seminars and workshops Compulsory 3 annual all
MRE-525 Advanced computing tools for applied research Optional 3 2 even
MRE-524 Stochastic optimization Optional 3 2 odd
MRE-516 Artificial intelligence Optional 6 1 even
MRE-515 Decision methods Optional 3 1 all
MRE-514 Forecasting methods and applications Optional 3 1 odd
  Electives from other Master's Degrees Optional 15 1,2 all
Total créditos 30
MRE-611 Preliminary research project
Compulsory 12 annual all
MRE-670 Master's thesis TFM 18 annual all
Total creditos 30
Total Master's Degree credits60

*Term: this indicates the term in which the subject is taught.

  • 1: first term
  • 2: second term
  • Annual: taught throughout the entire academic year
  • Even year: subjects taught in academic years that begin in an even year.
  • Odd year: subjects taught in academic years that begin in an odd year.
  • All years: subjects that are taught in every academic year.


  • Even year: subjects taught in academic years that begin in an even year.
  • Odd year: subjects taught in academic years that begin in an odd year.
  • All years: subjects that are taught in every academic year.

To complete all or part of the optional subjects, students can choose from those in the table or from other Master's programs ('Elective subjects from other Master's degree programs') subject to approval by the program Director.

Timetable First Term

Timetable Second Term

Academic Calendar MRE 2016/17

Academic Calendar Comillas Pontifical University 2016/2017



Admission requirements and eligibility criteria:

Admission requirements:

  • Qualified engineers and graduates recently awarded a Bachelor's or Master's Degree in Engineering. Holders of a science-based Licentiate Degree, and graduates recently awarded a science-based Bachelor's or Master's Degree may also be eligible for admission.
  • A solid academic record.
  • English Language (CEFR Level B2).
  • Academic record of the degree program entitling the applicant to be admitted to the Master's program (70%).
  • Resume, cover letter and, if appropriate, interview with the admissions committee (30%).

Eligibility criteria:

  • Academic record of the degree program entitling the applicant to be admitted to the Master's program (70%).
  • Resume, cover letter and, if appropriate, interview with the admissions committee (30%).
  • Admission to the Master's program is competitive. A minimum weighted average grade of 7 out of 10 points is required in all cases.

Admission process:

The admission process to the Master's program is as follows:

  • The Head of ICAI School of Engineering is responsible for the admissions process, and is assisted by the Acting Admissions Subcommittee.
  • The Acting Admissions Subcommittee is composed by the Head of Postgraduate Studies and the Master's Course Director. If necessary, he may request the assistance of the Heads of the Departments within this Master's program.

The admission application must be submitted before the deadline indicated to such effect, using the standard form and supplying all the supporting documents in compliance with the admission requirements. If the application requires additional information, the Acting Admissions Subcommittee may invite the applicant for a personal interview.

Services to students with special needs

Applicants with physical disabilities can find further information and receive personalized support at the Disability Service. This service seeks, among other things, to implement the University's Support Program for Students with Disabilities led by our qualified Disability Support Team. For more information about this program, go to the page http://www.upcomillas.es/servicios/Discapacidad/serv_disc_prog.aspx/. Here, you can find out more about all the resources and aid available to you to ensure the University is able to cater to your specific needs.

Admission application deadline

The admission application filing period begins on January 18, 2016.

The deadline for the admission application filing period is: June 30, 2016.

The deadline for the additional application period is: September 05, 2016.

The Master's admissions board will meet once a month to review the applications received within the regular application period. Those received after this date will be reviewed in the week following the end of the special application period.

Information notice on the documents to be submitted

Graduates from the Official Master's Degree in Research in Engineering Systems Modeling can choose from a wide range of possible career options. The training provided across fields is essential for research and to solve complex problems in the realm of engineering systems. One of the most frequent paths following completion of this Master's program is to progress onto a doctorate program in the field.

Listed below are some of the most prominent lines of research considering the experience of our teaching staff, as well as the projects and research conducted:

  • Electrical power: power systems modeling, analysis and monitoring; sustainable smart power grids; energy regulation and economics; support systems in energy sector decision-making.
  • Energy and the environment:environmental assessment and feasibility analysis of energy processes; energy engineering and sustainability; integration of renewable energies.
  • Information and communications technology: monitoring, identification, maintenance and reliability of industrial processes; smart data analysis systems to aid decision-making; autonomous self-steering systems.
  • Railway systems:railway traffic planning and operation; energy efficiency; optimal signaling and carrying capacity design; RAMS analysis; analysis of safety and quality-control systems.
  • Electronic and automated systems: real-time process monitoring systems; sensor systems and signal processing.
  • Materials, manufacture and computational mechanics: design and modeling of new materials; calculus and dynamic simulation of structures; biomechanics and modeling of complex systems containing non-linear finite elements.
  • Industrial systems: integrated logistics; production planning; systems engineering; series forecasting; quality control; data mining; industrial management.


The Official Master's Degree in Research in Engineering Systems Modeling prepares the students to be able to engage in any form of engineering research project and particularly for the work entailed in writing a doctoral thesis. The Master's program is ideal to prepare them for this, as it provides them with research methods that they will be able to apply to the numerous fields of research proposed by the School's doctorate programs:

Official Doctorate Program in Power Systems

Official Doctorate Program in Engineering Systems Modeling