Competencies are the set of knowledge, skills and attitudes to be acquired by students throughout the degree, aimed at preparing them for the exercise of professional activities.
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 – Students know how to apply the knowledge acquired and their problem-solving ability in environments new or little known 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, while incomplete or limited, includes reflections on the social and ethical responsibilities associated with the application of their knowledge and judgments. CB9 – Students should be able to communicate their conclusions and the knowledge and ultimate reasons that support them to audiences specialized and non-specialized in a clear and unambiguous manner. CB10 – Students have the learning skills that will allow them to continue studying in a way that will be largely self-directed or autonomous.
CG1 – Be able to apply acquired knowledge to solve problems in new or little-known environments within contexts related to computer security or data intelligence. CG2 – Integrate knowledge to formulate judgments based on concrete information, and at the same time, include reflections on the social and ethical responsibilities associated with the application of such knowledge and judgments in providing advice on computer security. CG3 – Maintain an attitude of constant updating, which allows them to study independently through training continue in their future professional performance as experts in computer security and data intelligence. CG4 – Design and develop professional intervention plans or research projects related to the computer security environment, and implement and develop them using appropriate methods and processes. CG5 – Acquire the level of specialization required to perform the professional functions of an expert in computer security and data intelligence within ICT entities. CG6 – Evaluate the necessary resources, plan and organize the activities, without forgetting the continuous review of the process that involves computer security and data intelligence. CG7 – Develop teamwork skills and communication skills to maintain relationships with others professionals and with relevant organizations. CG8 – Have the analytical and problem-solving skills to address real problems in accordance with ethical and social values and with the utmost respect for current legislation. CG9 – Properly manage information related to the computer security sector in compliance with current legislation, standards, certifications, internal documents, etc. CG10 – Design, evaluate and monitor a data intelligence project.
CE1 – Ability to appropriately select and apply different encryption and authentication mechanisms to ensure the confidentiality, integrity and authenticity of data. CE2 – Ability to verify the correct functioning of security measures, and compliance with the corresponding standards and laws. CE3 – Ability to apply methodologies and tools for the analysis, evaluation and management of risks, and to carry out IT audits. CE4 – Experience in application design, incorporating security criteria into the development process itself, and in applying techniques to audit and improve application security. CE5 – Knowledge of intrusion detection and prevention systems in wired and wireless networks.
CE6 – Ability to detect and assess vulnerabilities affecting computer systems and to apply techniques and forensic analysis tools. CE7 – Know the different data analysis and exploitation techniques and assess their correct application in the extraction of relevant information. CE8 – Know how to prepare documentation and training manuals for users on the Information Security Policies established in the company. CE9 – Be able to obtain, process and store data from different sources and in various formats. CE10 – Be able to visualize data and the relevant relationships between them. CE11 – Be able to effectively communicate the conclusions reached after analyzing a set of data. CE12 – Know the methods and procedures for preparing data sets to apply analysis techniques appropriately.