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Master’s degree in artificial intelligence, model management and implementation

Universidad Alfonso X el Sabio Private Degree

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Starting on 2021-03-29
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DAYSHRSMINSEC

DUE

2021-03-29

Don't lose the opportunity

Deadline

2022-03-29

Finish date

CREDITS

60 ECTS

Online methodology

PRICE

6.490,00 €

For all countries

Private Degree
Universidad Alfonso X el Sabio
Scholarships
OEA

Why take Master’s degree in artificial intelligence, model management and implementation?

This Master’s degree in Artificial Intelligence (AI) has been designed to respond to the new needs for knowledge and training that have arisen in this field due to the increase in AI models, algorithms and companies that focus on this field. In fact, the AI sector is expected to have a global business volume of about 16 trillion dollars by 2030. Likewise, many companies specialized in the search and selection of professional profiles point to AI as one of the knowledge assets that will be more most demanded in the coming years.

This program has been conceived to benefit all professional profiles, since it will start from AI basics, which will not require extensive prior knowledge of programming and statistics (although a basic knowledge will be necessary). It has been structured in two large sections: first, a technical section which explores the main Machine Learning and Deep Learning models and algorithms. The second section addresses its business applications and implications. Upon completion of the program, the students will have the necessary skills to manage and promote AI projects with an organization.

 

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Program

MODULE I: INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI)

MODULE II: PREPARATION OF SELF-SERVICE EXCEL, TALEND AND TRIFACTA DATA

MODULO III: DATA MINING, MACHINE LEARNING AND DEEP LEARNING 

MODULE IV:  ADVANCED DEEP LEARNING

MODULE V: DATA VISUALIZATION TOOLS  

MODULE VI: MACHINE LEARNING, DEEP LEARNING AND DATA SCIENCE PRACTICAL APPLICATIONS 

MODULE VII: TECHNOLOGY ECOSYSTEMS

MODULE VIII: IDEATION METHODOLOGIES AND TECHNIQUES AND AI PROJECT MANAGEMENT  

MODULE IX: AI IMPACT ON A BUSINESS 

MODULE X: FINAL PROJECT

 

The program is subject to possible variations/updates of the contents to improve their quality.

Teachers

Nicolás Fernandez López has been working in the field of technology, innovation, customer experience and organizational transformation for more than 14 years with significant international experience.  Nicolas in currently working at Servitelco, in charge of managing and improving customer service in organizations. He is also a founding partner of CEXIA, a start-up that helps companies understand and apply Artificial Intelligence to their business models. Likewise, he collaborates with training schools and innovation consultancies as a facilitator of agile methodologies and AI workshops.

Throughout his professional experience in prestigious organizations such as DGT, Metro de Madrid, BBVA, ThyssenKrupp, PwC, ArcelorMittal, EDP or Ericsson, Nicolás has learned that one of the greatest challenges of many companies today has to do with changing and adapting to the new way of doing business,  from traditional to  more agile organizations that are closer to customers, an eager to innovate.  This realization has led Nicolas to specialize in Innovation, New Technologies, and Customer Experience in order to facilitate the transformation process for many struggling companies. 

Regarding his professional background, Nicolás is a Telecommunications Senior Engineer from Universidad of Sevilla (US) and holds an International MBA from IE Business School. Additionally, he got certified as a Design Thinking Workshop Facilitator and AI expert from MBIT. Finally, Nicolas has worked in more than 20 countries from Europe, Latin America, Middle East and Africa.  

 

Nerea Luís is a Computer and Information Systems Engineer with a PhD in AI. She is currently a member of the AI team at Singular. In 2013, Nerea co-founded T3chFest, a technological information sharing free event that hosted more than 2000 people the last time. In 2016, she was awarded with the prize “Women Techmakers Scholarship” by Google in the Europe, Middle East and Africa category. She was also granted a scholarship to attend the Grace Hopper Conference in the United States, and that was how she fully bonded with the movement ‘Women in Tech’. Since then, Nerea actively participates in different events promoting AI and technological diversity.

In January 2018, she joined the COTEC Foundation as an expert in Technology, Talent and Gender, which has served to spread their initiatives, ideas and knowledge in forums with audiences from different sectors. That same year, Nerea also joined Science in Parliament, where she has been able to speak in Congress on Emerging Technologies in Transport and Communications. In 2019, she was awarded the medal to civil merit by the Royal House. She was recently chosen among the Top 100 leading women in Spain.

 

Nerea Sevilla is a business intelligence, big data & advanced analytics expert. She started her professional experience as an expert in Data Science as a value and business knowledge generator. She is currently the Head of Business Intelligence and BigData Projects in Lanbide, Basque Employment Service of the Basque Country Government/ Eusko Jaularitza (Spain).  She has also led Business Intelligence and Advanced Analytics projects, thus contributing to the creation of data infrastructures (datawarehouse, data marts, ods and data-lakes) to manage corporate data life cycles. Nerea has also worked corporate information governance, and led advanced analytics projects aimed at increasing process and service quality management.  

 

Alberto Barbado González is a data scientist Luca Big Data unit in Telefónica. His work includes leading advanced analytics and AI proposals within some of the Big Data software products developed at the Unit (Luca Comms and Luca Fleet). Along with this, he conducts research in ​​Trusted AI, mainly in explainable AI (XAI), which is the base for his PhD research. Alberto holds an Industrial Engineering degree, with a specialty in automation and electronics from Madrid Polytechnical University (UPM); a Master’s degree in Data Science from Universidad Rey Juan Carlos (URJC), and another one in  advanced AI from the National Distance University (UNED); He has conducted different research studies in Natural Language eProcessing (NLP) and recommender systems.  

 

María Aurora Otero is a Computer System Engineer specialized in Big Data and Business Intelligence, with over 10 years of experience as a consultant in information systems and technological development.  For the past few years, she has participated in BI and Bid Data projects based on Microsoft technology for different clients such as Telefónica, Real Madrid, Santillana, El País, Diputación de Vizcaya (Provincial Council of Viscaya) and Gobierno de Navarra (Navarra Provincial Government). She is currently working as a Senior Data & Analytics Engineer in Santillana, where she leads advanced analytical applications at different online education platforms, as well as marketing campaigns in Latin America.  

 

Sergio Segovia González. PhD in Artificial Intelligence from Madrid Autonomous University (UAM), more specifically from its Polytechnical Institute. Industrial Engineering specialized in electronics, industrial robotics among others, from University of Valladolid. Professional experience: Industrial Department Project Director – Automatization (Engie España SL) and Responsible for electromechanics in nuclear research and innovation projects (Tecnatom SA). Current position: Project Director – Technological development, robotics and AI for the nuclear sector (ENUSA Industrias Avanzadas/Advanced industries, S.A, S.M.E.).

 

Pedro Prieto is a lawyer and with a master’s degree in stock market. He has played different roles in multinational companies such as Microsoft, Morningstar or Telefónica, and in 2013 he founded his own company that has improved e-commerce shopping experience by segmenting its database and generating new qualitative information. Pedro is currently a lecturer of entrepreneurship in different business schools and is business AI expert.  

 

Carlos Villa is an Industrial Engineer with more than 10 years of experience in different sectors mainly focused on efficiency, process improvement and cultural transformation.  

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