
Universidad Rey Juan Carlos

Curso Superior Universitario en Ciencias Aplicadas a la Ciberseguridad: Aprendizaje Automático y Redes Complejas
DURATION
4.5 Hours
LANGUAGES
Spanish
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Mar 2025
TUITION FEES
EUR 1,000 *
STUDY FORMAT
On-Campus
* El precio para estudiantes no residentes fuera de la UE es sólo aproximado ya que cada tarifa académica es diferente
Key Summary
About: This program, the Curso Superior Universitario en Ciencias Aplicadas a la Ciberseguridad: Aprendizaje Automático y Redes Complejas, focuses on the intersection of cybersecurity, machine learning, and complex networks. Students will develop skills crucial for tackling advanced challenges in cybersecurity through practical applications and theoretical knowledge.
Career Outcomes: Graduates can pursue careers in various fields, including cybersecurity analysis, data science, and network security engineering. They may work in sectors such as government, finance, and technology, ensuring the protection of data and systems against cyber threats.
Admissions
Curriculum
Modality: Face-to-face, with support in classes by Streaming
Number of credits: 13 (130 teaching hours)
Contact hours: 4.5
- Cybersecurity Metrics and Measures
- Making sense of unstructured data
- Regression and Prediction
- Classification, hypothesis testing and anomaly detection
- Systems Recommendation
- Complex Network Analysis
- Predictive models for temporal data
Program Outcome
General Competences
- Ability to search for specific information related to the different subjects of the Master from all available sources.
- Ability to present and develop reports.
- Ability to interpret technical documents.
- Ability to work in a team, in an interdisciplinary environment.
- Resource management: organization and ability to establish work priorities.
- Flexibility to adapt during the development of a project, ability to rethink.
- Critical reasoning: analysis, synthesis, and evaluation of different alternatives.
- Ability for effective written and oral communication.
- Information management: information collection, organization, etc.
- Responsibility and capacity for self-learning.
Specific Competences
- The student will learn how the various algorithms and encryption techniques work and their benefits and limitations.
- You will learn the various authentication systems and types, as well as the difference between authentication and authorization.
- The student will be able to evaluate potential risks and recommend ways to reduce them.
- The student will get to know the Python programming language, get an overview of the language, and getting to be able to build complex programs.
- You will become familiar with the fundamental concepts of variable treatment, algorithm development, and programming.
- The student will learn a comprehensive vision of cybersecurity technologies and techniques.
- You will learn new methods of computing encrypted data, network security, and protocol design
- You will know the most effective Machine Learning techniques.
- You will learn the differences and compatibility between Octave and MATLAB.
- You will know how to differentiate between graphic models and network models.
- You will know how to differentiate predictions on temporal data from other types of data.
In addition, the following Basic competencies will be guaranteed :
- 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.
- 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;
- That students are able to integrate knowledge and face the complexity of making judgments based on incomplete or limited information
- That students know how to communicate their conclusions –and the ultimate knowledge and reasons that support them– to specialized and non-specialized audiences in a clear and unambiguous way;
- That students possess the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.
- Students are able to establish the relevant interrelationships between the various disciplines that make up the Master's.
- Students have communication skills at the oral and written level in the dissemination of manufacturing and design knowledge.
- That they have the capacity for synthesis and analysis in the presentation of the contents.
- Students are able to apply critical judgment in the field of generic and specific bibliography related to the field of related studies.
Program Tuition Fee
Program Admission Requirements
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