Responsible Center: LINK Location: Remote (UNIR, UAH, URJC)
Modality: from distance Title code: 6355 Orientation: Researcher
Number of ECTS Credits: 60 ECTS Duration of the Master: an academic year
Price: https://www.unir.net/ingenieria/master-ia-aplicado-sector-energetico/
Opening hours Examinations Teaching Guides
Faculty
Coordinator (Interuniversity): Mr. Sascha Ossowski
E-mail: UNITE website: https://www.unir.net/ingenieria/master-ia-applicado-sector-energetico/
Official master information: Phone: 91 488 8508 Inquiries Mailbox
Student attention: Student Help Box Suggestions, complaints and congratulations mailbox
Basic Information
Is this degree official according to the regulations required by the European Higher Education Area?
Yes, (final verification report is attached) the implementation of the degree will be done progressively, starting the first year in the academic year 2022-23.
Final verification report turned out FAVORABLE
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
El recommended income profile corresponds to that of a student who, meeting the access requirements established in section 4.2, shows interest in the application of Artificial Intelligence in the fields of energy and infrastructure. Specifically, this master's degree is aimed both at (i) professionals related to the areas of energy and smart infrastructures who wish to complete their technological training with the practical application of advanced Artificial Intelligence techniques in these domains, as well as at (ii) those graduates of information technology areas that want to expand their professional training and opt for job offers in the energy and smart infrastructure sectors. In addition, it is recommended that the student has some skills that allow him to integrate and relate his previous knowledge with what he will develop in the degree:
- Capacity for abstraction, analysis, synthesis and logical reasoning.
- Possess the capacity for perception and attention.
- Have a practical sense of organization.
- Attitude and motivation of active effort and self-discipline.
Objectives
The master's degree has an academic and research orientation and its main objective is to train researchers and professionals capable of applying Artificial Intelligence solutions to solve problems with an impact on critical sectors such as Energy or Intelligent Infrastructures. Specifically, the master's degree is based on the experience of the three universities teaching degrees related to Artificial Intelligence to provide students with the necessary skills to (i) master modern Artificial Intelligence techniques and technologies, (ii) understand of the technical requirements and characteristics of computer solutions used in the fields of energy and smart infrastructure, and (iii) the application of a research methodology in these areas, to (iv) propose AI-based solutions that contribute to the development of new and better services in these sectors of activity.
Competences
BASIC SKILLS
CB6 - Possess and understand knowledge that provides a basis or opportunity to be original in the development and/or application of ideas, often in a research context |
CB7 - That students know how to apply the knowledge acquired and their ability to solve problems in new or little-known environments within broader (or multidisciplinary) contexts related to their area of study |
CB8 - That students are able to integrate knowledge and face the complexity of formulating judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments |
CB9 - That students know how to communicate their conclusions and the knowledge and ultimate reasons that support them to specialized and non-specialized audiences in a clear and unambiguous way |
CB10 - That students have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous. |
GENERAL COMPETENCIES
CG1 - Analyze and understand the operation, performance, impact and characteristics of the computer solutions implemented in the areas of Energy and Infrastructure to identify potential improvements in their operation through the application of Artificial Intelligence techniques. |
CG2 - Evaluate the performance and impact of IT solutions based on Artificial Intelligence implemented in the Energy and Infrastructure sectors according to technological, economic and social criteria. |
TRANSVERSAL COMPETENCES
CT1 - Apply new technologies as tools for communicational exchange in the development of inquiry and learning processes. |
CT2 - Develop communication skills, to write reports and documents, or make effective presentations of them. |
SPECIFIC COMPETENCES
CE1 - Ability to design and implement innovative computer solutions that combine different intelligent techniques to solve specific problems of the systems implemented in the Energy and Infrastructure sectors. |
CE2 - Determine energy and infrastructure problems that require novel technological solutions based on Artificial Intelligence. |
CE4 - Develop and integrate Artificial Intelligence techniques in technological and industrial environments in the Energy and Infrastructure sectors to improve quality and productivity. |
CE5 - Identify, apply and evaluate the most appropriate computing models and automatic reasoning paradigms for the creation of intelligent solutions in the field of infrastructure and energy. |
CE6 - Acquire, obtain, formalize and represent expert knowledge in a computable way to solve problems using a computer system in the fields of energy and infrastructure. |
CE7 - Design computational perception systems capable of inferring information from heterogeneous data sources such as images, audio or sensors for application in the field of energy and infrastructure. |
CE8 - Evaluate and assess the models and patterns resulting from the application of machine learning according to business, production or social objectives in the domains of energy and infrastructure. |
CE9 - Design and implement intelligent IT solutions based on planning and control techniques for the domains of infrastructure and energy. |
CE10 - Design, manage and implement IT projects in the Energy and Infrastructure sectors that integrate Artificial Intelligence solutions, selecting the most appropriate techniques, tools, devices and architectures. |
CE11 - Design and implement computer applications and systems that use automatic information and knowledge extraction techniques from large volumes of data for application in the field of scientific information in infrastructure and energy. |
CE12 - Design computer systems, services and applications in the fields of Energy and Infrastructure through search and optimization algorithms. |
CE13 - Design and evaluate autonomous computer systems that solve specific problems of intelligent infrastructures in a distributed and collaborative manner. |
CE14 - Ability to prepare an original piece of work and present and defend it, consisting of a project in the field of Artificial Intelligence applied to the energy and infrastructure sectors in which skills acquired in the teachings of the degree are synthesized and integrated. |
CE15 - Be able to assess and debate the specific advances in the most relevant research areas in the field of Artificial Intelligence and its application to energy and infrastructure in order to know how to choose the most appropriate starting point in the design of an investigation. |
Admission and enrollment
Admission:
The requirements for access to the proposed title are according to article 18, of Royal Decree 822/2021, of September 28:
- 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.
Recommended requirements:
In addition to this, and more specifically, a competency profile has been defined for all students who access the Master's Degree in Artificial Intelligence for the Energy and Infrastructure sector, consisting of:
- Knowledge of data analysis and descriptive statistics.
- Sufficient theoretical and practical knowledge to write programs in a high-level programming language and to be able to interpret the operation of an algorithm.
- Sufficient command of the English language to correctly read and interpret technical manuals and be able to make inquiries in specialized forums.
Therefore, it is required that students who access the master's degree meet the established competency profile that would be obtained through at least one of the following requirements:
- They are in possession of any of the degrees considered to be related to the proposed degree, that is, they are university graduates in Computer Science, Telecommunications, Industrial Engineering and Mathematics or other degrees in the area of science or engineering, provided that it can be verified that their plan of studies include at least 12 credits of courses related to computer programming and at least 12 credits of courses related to algebra and statistics; In these cases, the student must provide information that demonstrates that they have studied and passed the subjects that allow them to acquire a competency profile similar to that of the aforementioned degrees. The Interuniversity Academic Coordination Commission, in charge of supervising the admission procedure, will determine if the degree provided meets this requirement.
Satisfied the specific access requirements previously mentioned, and only in the event that the number of requests for places that meet the requirements collected in the access routes exceeds the number of places offered per academic year (60 places), in the resolution of admission applications, the following assessment criteria will be taken into account:
- Average mark of the file in the degree that grants access to the master's degree (100%).
In case of a tie in scores, the one with the highest number of honors and, where appropriate, outstanding and so on will be chosen.
According to the agreement established between the three requesting universities, it will be the International University of La Rioja, who manages the student selection and admission procedures, under the direction and supervision of the Interuniversity Academic Coordination Commission defined by the collaboration agreement and described in Section 5.1.5 of the memory. The Admissions Department works in coordination with the direction of the master's degree to request applicants for any of the newly admitted places offered, the curriculum vitae of the student and all the certified documentation that guarantees its veracity. In this way, compliance with the recommended competency profile is guaranteed.
Selection of applicants:
Offer of places: 20 seats. If the minimum number of students envisaged is not reached in a course, the University may choose not to open the teaching group.
Admission and enrollment will take place at the coordinating University: https://www.unir.net/ingenieria/master-ia-aplicado-sector-energetico/
Training itinerary
Master's Teaching Guides
ACCESS TO ALL UNIVERSITY TEACHING GUIDES
Training Itinerary
Materials |
Subjects |
ECTS credits |
Semester |
Character |
|
Technological Base of Energy and Infrastructures (6 ECTS) |
635501 |
Technological Solutions in Energy and Infrastructures |
6 |
1 º |
OB |
Artificial Intelligence applied to Energy and Infrastructures (18 ECTS) |
635502 |
Machine Learning |
6 |
1 º |
OB |
635503 |
Search and Optimization |
6 |
1 º |
OB |
|
635504 |
Reasoning and Planning |
6 |
1 º |
OB |
|
Advanced Artificial Intelligence Techniques (12 ECTS) |
635505 |
Autonomous and Multi-Agent Systems |
6 |
1 º |
OB |
635506 |
Deep Learning for Perception and Control |
6 |
2 º |
OB |
|
Smart Applications in the Energy and Infrastructures (6 ECTS) |
635507 |
Smart Applications in Renewable Energies |
6 |
2 º |
OP |
635508 |
Technological Solutions for Smart Cities |
6 |
2 º |
OP |
|
635509 |
IoT for the Energy and Infrastructure Sector |
6 |
2 º |
OP |
|
635510 |
Master's thesis |
12 |
Indefinite |
OB |
|
635511 |
Seminars on Research in Artificial Intelligence for the Energy and Infrastructure Sector |
6 |
2 º |
OB |
External Internships
The External Practices subject is a curricular subject whose main objective is to promote a comprehensive training of the student through the practical application of the knowledge acquired during the Master's degree, which facilitates direct contact with the professional activity and the opportunity to join the professional world with a minimum of experience. All practices are designed so that the students who participate in them acquire professional experience in real situations and conditions, applying the knowledge, skills and attitudes that are acquired in the training processes throughout the degree. The internships represent a decisive opportunity for the personal development and professional future of the students.
Internships are activities carried out by the student in companies, institutions and organizations; that is, in centers outside the university premises, which aim to enrich and complement their university education, while providing them with a deeper knowledge about the skills they will need in the future.
The External Practices subject will consist of two phases.
First. Completion of the internship period that offers professional experience related to any of the profiles that are expressed in the Verification Report of the degree.
Second. Preparation of memory.
Documentation:
Degree Training Project
For more information: External Internship Unit
Social Security contributions for interns starting January 1, 2024
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.
Regulation
- 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.
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.”