Become one of the most in-demand professionals of today. Get qualified in a professional master’s degree in Artificial Intelligence and Knowledge Engineering with this comprehensive online program"

Developments based on Artificial Intelligence have already reached numerous developments in the field of engineering. From the automation of numerous procedures in industry and companies, to its own process control. This means that engineering professionals need to understand and master the operation of these complex techniques. 

This essential knowledge also becomes the first step to access the development capacity of this type of technology. 

Throughout this program, a real working scenario is offered in order to be able to assess the convenience of its application in this project, evaluating its real indications, way of development and possible result expectations 

Through experience, students will learn how to develop the knowledge required to advance in this field of work. This course, which necessarily requires experience, is coordinated through e-learning and practical teaching, offering a unique option to give your professional profile the boost you are looking for. 

Join the elite, with this highly effective educational training and open new paths to help you advance in your professional progress”

This professional master’s degree in Artificial Intelligence and Knowledge Engineering contains the most complete and up-to-date educational program on the market. Its most notable features are: 

• The latest technology in online teaching software
• A highly visual teaching system, supported by graphic and schematic contents that are easy to assimilate and understand
• Practical cases presented by practising experts
• State-of-the-art interactive video systems
• Teaching supported by telepractice
• Continuous updating and recycling systems
• Autonomous learning: full compatibility with other occupations
• Practical exercises for self-evaluation and learning verification
• Support groups and educational synergies: questions to the expert, debate and knowledge forums
• Communication with the teacher and individual reflection work
• Content that is accessible from any fixed or portable device with an Internet connection
• Supplementary documentation databases are permanently available, even after the program

A professional master’s degree that will enable you to work in all areas of Artificial Intelligence and Knowledge Engineering with the solvency of a high-level professional"

Our teaching staff is made up of professionals from different fields related to this specialty. This way, the intended educational updating objective is achieved. A multidisciplinary team of professionals trained and experienced in different fields, who will develop the theoretical knowledge in an efficient way, but above all, they will bring their practical knowledge from their own experience to the course: one of the differential qualities of this program.

This mastery of the subject matter is complemented by the effectiveness of the methodological design. Developed by a multidisciplinary team of e-learning experts, it integrates the latest advances in educational technology. In this way, you will be able to study with a range of comfortable and versatile multimedia tools that will give you the operability you need in your training. 

The design of this program is based on Problem-Based Learning: An approach that conceives learning as a highly practical process. To achieve this remotely, telepractice will be used. With the help of an innovative, interactive video system and Learning from an Expert, students will be able to acquire the knowledge as if they were dealing with the case in real time. A concept that will make it possible to integrate and fix learning in a more realistic and permanent way.

Join the elite, with this highly effective educational training and open new paths to help you advance in your professional progress"

With the experience of active professionals, experts in Artificial Intelligence and Knowledge Engineering"

The objective is to train highly qualified professionals for work experience. An objective that is complemented in a global manner by promoting human development that lays the foundations for a better society. This objective materializes by helping professionals reach a much higher level of expertise and control. A goal that, in just a few months, students will be able to achieve with a highly intensive and precise course.

If your objective is to broaden your skills set to include new paths of success and development: this is the program for you: a training that aspires to excellence"

General Objectives

• Obtain scientific and technological knowledge to practice Mechanical Engineering
• Obtain extensive knowledge in the field of computing
• Obtain extensive knowledge in the field of structure of computing
• Acquire the necessary knowledge of software engineering 
• Review the mathematical, statistical and physical foundations essential for this subject 

Specific Objectives 

Module 1. Programming Fundamentals 

• Understand the basic structure of computers, software and the general-purpose programming languages 
• Learn how to design and interpret algorithms, the necessary basis for developing computer programs 
• Understand the essential elements of a computer program, such as the different data types, operators, expressions, statements, I/O and control statements 

Module 2. Data Structure 

• Understand the different data structures available in general purpose programming languages, both static and dynamic, as well as acquire essential knowledge in file handling 
• Understand abstract data types, linear data structure types, simple and complex hierarchical data structures, and their implementation in C++ 
• Gain an understanding of the operation of advanced data structures, different to the usual ones 
• Know the theory and practice related to the use of priority mounds and queues 
• Learn how hash tables work as abstract data types and functions 

Module 3. Algorithms and Complexity 

• Understand the different software testing techniques and the importance of generating good documentation together with good source code 
• Learn the basics of the C++ programming language, one of the most widely used programming languages in the world 
• Learn the basics of programming in the C++ language, including classes, variables, conditional expressions, and objects 
• Understanding graph theory, as well as advanced graph algorithms and concepts 

Module 4. Advanced Algorithm Design 

• Learn the main strategies for algorithm design, as well as the different methods and measures for algorithm computation 
• Know the main sorting algorithms used in software development 
• Understand the operation of different algorithms with trees, heaps and graphs 
• Understand the operation of greedy algorithms, their strategy and examples of their use in the main known problems We will also learn about the use of greedy algorithms on graphs 
• Learn the main strategies of minimum path finding, with the approach of essential problems of the field and algorithms for their resolution 
• Understand the backtracking technique and its main uses, as well as other alternative techniques 
• Delve into advanced algorithm design, analyzing recursive and divide and conquer algorithms, as well as performing amortized analysis 
• Understand dynamic programming concepts and algorithms for NP-problems 
• Understand the operation of combinatorial optimization, as well as the different randomization algorithms and parallel algorithms 
• Know and understand the operation of the different local and candidate search methods 

Module 5. Logic in Computer Science 

• Learn the mechanisms of formal program and iterative program verification, including first-order logic and Hoare's formal system 
• Learn the operation of some of the main numerical methods such as the bisection method, the Newton Raphson method and the secant method 
• Learn the basics of logic in computer science, what it is used for and its justification for use 
• Know the different strategies of formalization and deduction in propositional logic, including natural reasoning, axiomatic and natural deduction, as well as the primitive rules of propositional calculus 
• Acquire advanced knowledge in propositional logic, delving into its semantics and the main applications of this logic, such as logic circuits 
• Understand predicate logic for both natural predicate deduction calculus and formalization and deduction strategies for predicate logic 
• Understand the fundamentals of natural language and its deductive mechanism 

Module 6. Artificial Intelligence and Knowledge Engineering 

• Lay the foundations of artificial intelligence and knowledge engineering, making a brief tour through the history of artificial intelligence up to the present day 
• Understand the essential concepts of search in artificial intelligence, both informed and uninformed search 
• Understand how artificial intelligence works in games 
• Learn the fundamental concepts of neural networks and the use of genetic algorithms 
• Acquire the appropriate mechanisms to represent knowledge, especially taking into account the semantic web 
• Understand the operation of expert systems and decision support systems 

Module 7. Intelligent Systems 

• Learn all the concepts related to agent theory and agent architecture along with its reasoning process 
• Assimilate the theory and practice behind the concepts of information and knowledge, as well as the different ways of representing knowledge 
• Understand the theory related to ontologies, as well as learn languages and software for ontology creation 
• Learn different models of knowledge representation, such as vocabularies, taxonomies, thesauri and mind maps, among others 
• Understand the functioning of semantic reasoners, knowledge-based systems and expert systems 
• Understand how the semantic web works, its current and future status, as well as applications based on semantic web 

Module 8. Machine Learning and Data Mining 

• Introduce knowledge discovery processes and basic concepts of machine learning 
• Learn methods of data exploration and preprocessing, as well as different algorithms based on decision trees 
• Understand the operation of Bayesian methods and regression and continuous response methods 
• Understand the different classification rules and the evaluation of classifiers, learning to use confusion matrices and numerical evaluation, the Kappa statistic and the ROC curve 
• Acquire essential knowledge related to text mining and natural language processing (NLP) and clustering 
• Gain an in-depth understanding of neural networks, from simple to recurrent 

Module 9. Multiagent Systems and Computational Perception 

• Understand the basic and advanced concepts related to agents and multi-agent systems 
• Study the FIPA agent standard, taking into account inter-agent communication, agent management, architecture and other issues 
• Further study the JADE platform (Java Agent Development Framework), learning to program in it both basic and advanced concepts, including communication and agent discovery topics 
• Lay the foundations of natural language processing, such as automatic speech recognition and computational linguistics 
• Understand, in-depth, computer vision, digital image analysis, image transformation and segmentation 

Module 10. Bio-Inspired Computing 

• Introduce the concept of bio-inspired computing, as well as to understand the functioning of different types of social adaptation and genetic algorithms
• Further study the different models of evolutionary computation, understanding their strategies, programming, algorithms and models based on estimation of distributions 
• Understand the main space exploration-exploitation strategies for genetic algorithms 
• Understand the functioning of evolutionary programming applied to learning problems and multi-objective problems 
• Learn the essential concepts related to neural networks and understand the operation of real use cases applied to areas as diverse as medical research, economics and computer vision 

A unique specialization program that will allow you to acquire advanced training in this field"