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Responsible Center: Higher Technical School of Computer Engineering Location: Mostoles Campus.
Modality: distance Title code: 6399. Old plan 6241 Orientation: Professional
Number of ECTS Credits: 60 ECTS Duration of the Master: an academic year
Public prices: See table
Academic Calendar Calendar Opening hours Examinations Teaching Guides Adaptations table Faculty
Director of the Master: Prof. Dr. Ms. Ana Elizabeth García Sipols. Telephone: 91 488 8124
E-mail:
University master's information: Phone: 91 665 5060 Inquiries Mailbox
Student attention: Student Help Box Suggestions, complaints and congratulations mailbox
Basic Information
What knowledge will I acquire with this Master?
The Master develops knowledge aimed at training top-level professionals, capable of solving complex decision-making problems and leading teams in the Information and Knowledge Society, in order to improve the organizations in which they are involved.
Is this degree official according to the regulations required by the European Higher Education Area?
Yes (final verification report is attached), starting the first course in the academic year 2009-10.
Final verification report turned out FAVORABLE
Favorable report first modification
Favorable report second modification
Favorable report third modification
What is the minimum number of credits for which I can enroll?
You can see it in the rules of permanence in this link
Recommended income profile
The specific qualifications that will facilitate access to the Online (non-face-to-face) Master's Degree in Decision Engineering are the following:
Degrees in Industrial Engineering, Telecommunications Engineering, Computer Engineering, Software Engineering, Aeronautical Engineering, Chemical Engineering, Civil Engineering, Energy Engineering, Biology, Geology, Physical Sciences, Chemical Sciences, Mathematics, Statistics, Economics, Business Administration and Management, Data Science, Artificial Intelligence.
Objectives
Train top-level professionals, capable of solving complex decision-making problems and leading teams in the Information and Knowledge Society, in order to improve the organizations in which they are involved.
Learning Outcomes
Knowledge
| CON1. Understand qualitative and quantitative research methods, as well as advanced data analysis and decision-making techniques from a sustainable and innovative perspective. |
| CON2. Understand the advanced techniques, knowledge, and strategies of qualitative project management, their economic and social impact on sustainability; sustainable and innovative technologies; responsible business practices; and data analysis tools and technologies. |
| CON3. Acquire the different advanced data mining methodologies and tools to detect non-obvious information, in a highly specialized scientific and technological research context. |
| CON4. Acquire advanced fundamentals of probability theory and statistical inference, utilizing cutting-edge methods in both classical and Bayesian fields, and employing sophisticated statistical models to solve specific problems with scientific rigor. |
| CON5. Identify advanced time series forecasting models and panel data techniques using different types of software. |
| CON6. Identify simulation experiments of real-life processes that involve randomness; statistical parameters of interest for solving specific problems using specialized algorithms and software programs. |
| CON7. Understand advanced paradigms, algorithms, and tools for Big Data analysis, integrating them into high-level decision-making systems to optimize efficiency and accuracy in large-scale data management. |
| CON8. Identify the connections and interrelationships between the different techniques used in the field of decision-making systems, within a highly specialized scientific and technological research context. |
Skills
| HAB1. Develop empirical studies in the area of decision-making systems using key research methods, such as systematic literature reviews, design science, and case studies. |
| HAB2. Apply modeling tools specific to business intelligence, statistical inference, process quality, data mining, stochastic processes, operations research, and/or decision analysis. |
| HAB3. Apply data mining techniques to identify non-obvious information using advanced techniques and new trends in descriptive statistics that facilitate the effective communication of results. |
| HAB4. Apply advanced principles of probability calculus and sophisticated statistical inference techniques, including both classical and Bayesian approaches, to accurately model specific problems, using specialized statistical software tools. |
| HAB5. Apply modern principles of relational database system design for implementation within advanced decision-making support systems. |
| HAB6. Apply time series modeling and forecasting techniques, as well as risk analysis techniques using different types of software. |
| HAB7. Apply advanced simulation techniques to real processes with random components, with the aim of enabling the estimation of statistical parameters relevant to the solution of specific problems using state-of-the-art algorithms and software. |
| HAB8. Apply the theoretical foundations, advanced methodologies, and cutting-edge technologies required for Big Data analysis, with the goal of comprehensively incorporating them into high-level decision-making systems. |
Competences
| COM1. Propose original ideas and applications in the context of decision analysis, providing solid justifications for the proposals and demonstrating a proactive, creative, critical, analytical, and reflective attitude. |
| COM2. Formulate ethical and responsible judgments based on incomplete or limited information obtained through data analysis, reflecting on the social and ethical consequences of applying the acquired knowledge and judgments. |
| COM3. Clearly and effectively present conclusions, insights, and the framework for data analysis and decision-making to specialized and non-specialist audiences, adapting the message to different contexts and utilizing a variety of tools and techniques. |
| COM4. Develop independent training in data analysis and decision-making, using digital resources available through Internet technologies, such as online courses, forums, blogs, and social networks. |
| COM5. Acquire an understanding of the social and ethical responsibilities associated with the application of their advanced and specialized knowledge, especially in data analysis and decision-making, in a highly specialized scientific and technological research context. |
| COM6. Identify fundamental challenges and problems facing our society, as well as advanced and sustainable methodologies and technologies for data engineering and innovative and participatory decision-making, with the goal of improving people's quality of life while responsibly managing resources and assessing the impact of various projects on the economy, society, and the environment. |
| COM7. Determine the complexity of sustainability through a critical, systemic, and interdisciplinary approach, in order to understand the interaction of research activity in data analysis and decision-making with society and the environment, within a highly specialized scientific and technological research context. |
| COM8. Present and defend an original exercise individually before a university panel, consisting of a research-based project in the field of decision-making systems that synthesizes and integrates the skills acquired in the program. |
Admission and enrollment
General access regulations and procedures
Information on access and admission of students to master's studies is available at: https://www.urjc.es/estudiar-en-la-urjc/admision/274-master
The regulations are also published in: https://www.urjc.es/estudiar-en-la-urjc/admision/274-master#normativa-de-masteres-universitarios
Criteria and procedure for admission to the degree
The general requirements for access to University Master's Degrees are, according to article 18 of Royal Decree 822/2021, of September 28, which establishes the organization of university education and the procedure for ensuring its quality, the following:
- Possession of an official Spanish Graduate or Graduate university degree or equivalent is a condition for accessing a Master's Degree, or, where appropriate, having another University Master's degree, or titles of the same level as the Spanish Bachelor's or Master's degree issued by universities and higher education institutions in an EHEA country that in that country allow access to Master's degrees.
- In the same way, people in possession of titles from educational systems that are not part of the EHEA, which are equivalent to a Bachelor's degree, will be able to access a Master's Degree in the Spanish university system, without the need for homologation of the title, but verification by of the university of the level of training that they imply, as long as in the country where said title was issued it allows access to university postgraduate level studies. In no case will access through this route imply the homologation of the previous degree held by the person concerned or its recognition for other purposes than that of carrying out the Master's degree.
- Universities will guarantee transparent and accessible information on admission procedures, and must have student orientation systems. Likewise, they will ensure that said information and admission procedures take into account students with disabilities or with specific needs, and will have appropriate support and advice services.
- Universities may exceptionally establish, based on specific regulations approved by their governing bodies, conditional enrolment procedures for access to a Master's Degree. This will consist of allowing a Bachelor's student who has not yet completed the TFG and a maximum of 9 ECTS credits to access and enrol in a Master's Degree, although in no case will they be able to obtain the Master's degree if they have not previously obtained the Bachelor's degree. Universities will guarantee priority in enrolment for students who have an official university degree of Graduate. In this procedure, credits pending recognition or transfer in the Bachelor's degree, or the requirement to pass a certain level of knowledge of a foreign language to obtain the degree, may be taken into account.
- Universities or centers will regulate admission to Master's Degree courses, establishing specific requirements and, if necessary, training complements, whose credit load may not exceed the equivalent of 20 percent of the credit load of the degree. The training complement credits will have the same consideration as the rest of the credits in the University Master's degree curriculum.
- Universities will reserve at least 5 percent of the places offered in official university Master's degrees for students who have a recognized degree of disability equal to or greater than 33 percent, as well as for students with permanent educational support needs. associated with personal circumstances of disability, who in their previous studies have required resources and support for their full educational inclusion.
ADMISSION
The Rey Juan Carlos University does not have specific admission regulations, but is governed by article 18 of Royal Decree 822/2021, of September 28. Each degree has its own general access criteria and special access tests.
Admission to the University Master's Degrees will be carried out through a selection process; In some cases, this process may involve a selection test. The Master's Management will inform interested parties what the selection test will consist of, as well as the exact date and place of completion through this application and by means of a notice via email.
GENERAL ACCESS CRITERIA:
The specific qualifications that will facilitate access to the Online (non-face-to-face) Master's Degree in Decision Engineering are the following:
Degrees in Industrial Engineering, Telecommunications Engineering, Computer Engineering, Software Engineering, Aeronautical Engineering, Chemical Engineering, Civil Engineering, Energy Engineering, Biology, Geology, Physical Sciences, Chemical Sciences, Mathematics, Statistics, Economics, Business Administration and Management, Data Science, Artificial Intelligence.
CONDITIONS OR SPECIAL ACCESS TESTS:
If necessary, assessment of the student's curriculum, based on their professional experience, their projection in relation to the objectives of the master's degree, as well as their academic record.
Candidates for the Master's Degree must pass an admission test in which the following will be assessed: first, the Curriculum; second, the affinity of the previous studies; third, the suitability of the professional experience to the training profile of the Master's Degree and, lastly, the academic record of the previous studies. The weightings are as follows:
Weighting Criterion
Curriculum Rating 30%
Previous studies 30%
Professional experience 20%
Academic record 20%
The university body in charge of assessing and evaluating the admission tests according to the indicated criteria will be the Director/Coordinator/Head of the Master's Degree. Once all the applications received have been evaluated by the Master's Director and taking into account the final assessment of the merits, the date of submission of the application and documentation through Registry by the student and the availability of places offered, the Director /Coordinator/Head of the Master will proceed to publish the list of those admitted, their acceptance or denial. From this moment on, the selected student must proceed to formalize registration (self-registration) within the established deadlines.
Offer of places: 25 seats. If the minimum number of students envisaged is not reached in a course, the University may choose not to open the teaching group.
Training itinerary
Master's Teaching Guides
ACCESS TO ALL UNIVERSITY TEACHING GUIDES
Training Itinerary
|
Code |
Subject |
Semester |
Type |
No. of ECTS |
|
639901 |
Decision Engineering |
1 º |
required |
6 |
|
639902 |
Quality: Six Sigma and New Trends |
1 º |
required |
6 |
|
639903 |
Data mining |
1 º |
required |
6 |
|
639904 |
Modeling and Treatment of Uncertainty |
1 º |
required |
6 |
|
639905 |
Management and Planning |
1 º |
Optional* |
6 |
|
639906 |
Database Management |
1 º |
Optional* |
6 |
|
639907 |
Advanced Data Analysis |
2 º |
required |
6 |
|
639908 |
Simulation and Metaheuristics |
2 º |
required |
6 |
|
639909 |
Big data analytics |
2 º |
required |
6 |
|
639910 |
Technical Scientific Methodology and Documentation |
2 º |
required |
3 |
|
639911 |
Master's thesis |
2 º |
TFM |
9 |
* Choose an optional subject
Mobility programs
University Master's degrees, due to their duration and characteristics, in general do not specifically contemplate the mobility of their students. However, the Rey Juan Carlos University has different mobility programs for both students and University workers (PDI and PAS) and has procedures for collecting and analyzing information on these mobility programs.
Privacy Policy
- Academic Calendar
- Regulations governing the university master's degrees of the Rey Juan Carlos University
- Regulations for enrollment and permanence in university master's degrees at the URJC || Explanatory notes
- Academic exemption (Regulations for the Evaluation of Learning Outcomes - Title IX)
- Public prices for university master's degrees
- Exemption from the prices of official master's and doctoral studies for the sons and daughters under 25 years of age of victims of gender violence
- External Internships
- University Master's Thesis
- Review and claim of the evaluation (Regulations for the Evaluation of Learning Outcomes - Title VII)
- Acknowledgments / Adaptations of university master's degrees
- Simultaneity of URJC university master's degree studies
- Regulations of the School of Official Masters
- Addendum to the protocol for adapting teaching at the School of Official Master's Degrees
- Royal Decree 1125/2003, of September 5, which establishes the European credit system and the qualification system in official university degrees valid throughout the national territory
STUDENTS
TEACHING COORDINATION
COEXISTENCE REGIME
SCHOOL INSURANCE
ASSOCIATIONS
EVALUATION
- Regulation on the Assessment of Learning Outcomes (in force from 1 September 2024)
- Early call (Regulations on the Assessment of Learning Outcomes - Article 19)
- Article 6.1.2. The favorable resolution of the request for total cancellation of registration does not necessarily imply the refund of the amount paid by the student. To do this, the requirements established in the Article 10.3 of the present regulations.
- Article 11.3. The extension of the period of permanence will be requested through the procedure established for this purpose by the Rey Juan Carlos University in the electronic office, within the established period. The Rector may authorize the continuation of studies in those cases in which exceptional causes, duly documented, have affected the academic performance of the students., valid for that academic year (up to a maximum of one year).
- Article 11.4. In accordance with what is established by the Article 4 of these regulations, those students whose request to remain is resolved favorably will have to enroll in all the remaining subjects to complete their studies.
- Article 11.5. For subjects with an indefinite call, once the extension of the permanence period is granted, the fees corresponding to the second and successive registrations will be paid according to the corresponding Public Price Decree as long as they have been previously enrolled in that subject.
- Article 12.4. Once this is granted, the student must enroll in accordance with the provisions of the Article 4 of the present regulations.
- Article 12.5. For subjects with an indefinite call, once continuity in the University Master's studies is granted, the fees corresponding to the second and successive registrations will be paid according to the corresponding Public Price Decree as long as they have been previously enrolled in that subject.
Quality guarantee
Results report
Once the monitoring of the Master's Degree has been carried out, the most relevant quantitative information on the results obtained in the monitoring of said Degree is displayed, differentiated by academic year.
Report by course:
General information collection plan
Within the quality assurance system of the Rey Juan Carlos University, the following surveys are planned:
- Student profile
- Teacher evaluation
- Degree of satisfaction:
- Of the students
- of the graduates
- From the Faculty
- Administration and Services Staff
- Labor insertion
- External internships:
- Satisfaction of interns
- External tutor satisfaction
- Employer satisfaction
Survey results:
Improvement actions
The Quality Assurance System of the Rey Juan Carlos University establishes that the degree's Quality Assurance Commission will annually analyze the information derived from the degree's indicators and prepare a report that will include improvement plans if the results so indicate.
- Improvement actions 2023 / 2024
- Improvement actions 2022 / 2023
- Improvement actions 2021 / 2022
- Improvement actions 2020 / 2021
- Improvement actions 2019 / 2020
- Improvement actions 2018 / 2019
- Improvement actions 2017 / 2018
- Improvement actions 2016 / 2017
- Improvement actions 2015 / 2016
- Improvement actions 2014 / 2015
- Improvement actions 2013 / 2014
- Improvement actions 2011 / 2012
- Improvement actions 2010 / 2011
- Improvement actions 2009 / 2010
Renewal of accreditation
The renewal of the accreditation represents the culmination of the implementation process of the official Bachelor's and Master's degrees registered in the Register of Universities, Centers and Degrees (RUCT). The renewal of the accreditation of official bachelor's and master's degrees is organized in three phases: self-assessment report, external visit and final assessment.
In the first phase, the university describes and assesses the status of the degree with respect to the established criteria and guidelines. The result is the Self-Assessment Report (IA) that is presented. The second and third phases are carried out by a group of evaluators external to the evaluated title.”