Master in Data Science and Artificial Intelligence - Máster en Análisis de Datos e Inteligencia Artificial

Research Methods & Professional Issues: This unit provides an overview of different research methods used to address scientific research questions. It covers aspects of research design, implementation and how they apply to solving data science and artificial intelligence based challenges in a quantitative, qualitative or mixed fashion.
Search & Optimisation: This unit introduces you to classical approaches to Search and Optimisation. These techniques are employed in a vast number of areas, including health, security, transport, aerospace, finance and many more. Whether the goal is to improve the performance of a new medicinal drug, gene states discovery and expressions, aircraft structural integrity, network traffic cybersecurity, or business investment, advanced stochastic optimisation algorithms are employed by researchers and practitioners in order to design optimal, diverse, and pertinent solutions to many real-world problems for best performing operations.

Data Processing & Analytics: The unit aims to advance your knowledge and skills in the evolving areas of big data, data modelling and analytics. You will develop a good understanding of data design, implementation and usage of data-driven systems. Moreover, you will learn how to model data and process big data, discover knowledge within the data and deal with the dimensionality of the data. Overall, you will develop critical understanding of the methodologies and techniques which lead you to process big data 5Vs, i.e. Volume, Velocity, Variety, Veracity and Value. Typical big data technology tools such as Hadoop/MapReduce, Storm, Spark, MongoDB and more are introduced.
Artificial Intelligence: The aim of this unit is to provide you with an introduction to the first principles and techniques that are employed in the greater field and sub-fields of Artificial Intelligence (AI), together with the skills and knowledge required to employ AI techniques for solving real-world and synthetic problems.
You will approach AI from a Computer Science perspective, with focuses given to the challenges faced within the field, nature inspired algorithms, and their applications to complex real-world problems.

Individual Master´s Project: You will develop a good understanding of the characteristics and implications which are inherent in the solution of a complex, real-world data science and AI oriented problem. This will be achieved within the context of a substantial, independently conducted research and development work.