19 December 2019
CUNEF celebra una nueva jornada de puertas abiertas para presentar su oferta de Grado para el curso 2020/2021
Más de 300 futuros personas asistieron al evento en el que se realizaron distintos talleres
Big Data refers to the technologies designed to extract economic value from multiple and high-volume sources of information, both internal and external, taking advantage of the capture velocity and storage capacity. Data Science, on the other hand, makes use of the information generated in the above phase to improve the analytical possibilities to aid in decision-making. The approximation required by Data Science is much more analytical and detailed, thus allowing the trained executive to have a 360-degree view of the business and of the opportunities offered by the environment.
The European Big Data market was estimated to be worth around 4 billion euros in 2016, but if we consider the dominated European data market as a whole, in other words, all products and services companies arising from this market, this figure multiplies to 60 billion euros. The estimated value of this market in 2020 varies between 80 billion and 110 billion euros.
The CUNEF Executive Program in Data Science and Digital Business prepares current and future executives in how to manage the challenge of this information in the most efficient manner possible. From an applied perspective but without forgetting rigorousness, the participants will progressively advance from the bases of data analytics and their impact on business decisions, the different phases of data-driven project management (what to consider, what to expect, what to communicate), the risks and opportunities that challenge the current knowledge of the business (with particular emphasis in the challenges that blockchain poses in all sectors and the disruption fintechs represent), the change in the paradigm of a management based on the data and its effects on management, to the exploration of the current limits to the knowledge and the challenges of the future.
The Executive Program in Data Science and Digital Business aims to provide advanced comprehensive training in the digital transformation of the company. Commencing from a solid foundation, the participants will learn first hand from lecturers and specialist professionals in data science and digital transformation the path to follow towards the incorporation of the company into the digital world. To do so, we have first class professionals who have led different digital transformation projects in their companies. The integration of the most modern techniques in information management, data analysis, the problems in generating demand, viewing techniques or the integration of agile methodologies to resolve the problems in an efficient manner in the shortest time possible, are only a few of the issues that will be addressed. With the mind set on Data-Driven Decision Making, this program helps executives in the necessary digital transformation under development.
The program is designed as a tool of exceptional value to achieve the development of the objectives of companies and executives in order to integrate the most modern techniques that data science contributes to digital transformation. Some of the objectives are as follows:
The program is aimed at active professionals (graduates) with more than 5 years professional experience interested in implementing digital transformation in their companies.
Students satisfactorily completing and passing all the academic requirements of the program (30 ECTS) will receive the qualification in Executive Program in Data Science and Digital Business.
|Length of Course||One academic year (February to December)|
|Study load||30 credits
End of Program Project
|Aimed at||Active professionals with at least three years’ professional experience wishing to specialise and reinforce their executive performance|
|Dedication||Compatible with professional commitments|
|Class times||Friday afternoons (4.30 pm to 9.30 pm)
Saturday mornings (9.30 am to 2.30 pm)
|Working languages||Spanish and English (participants must be able to actively read and work with documentation written in English)|
|Admissions process||Analysis of CV and personal interview|
|Qualification||Executive Program in Data Science and Digital Transformation|
The Executive Program in Data Science and Digital Business is delivered during the academic year from February to December and is part-time (compatible with professional commitments) with classes on Friday evenings and Saturday mornings with the following content structure:
|Data Science and Digital Transformation||21 ECTS|
|Development of managerial skills||3 ECTS|
|End of program project||6 ECTS|
Program complementary activities include:
|1st TERM||2nd TERM|
|Introduction to data analytics||3||Digitalisation and company strategy||3|
|Data-driven project management (I)||3||Data-driven project management (II)||3|
|Analytics for management||3||Limits to knowledge in Data Science||3|
|Negotiation workshop/leadership workshop/communication workshop||3||Data science and corporate environment||3|
|End of program project||6|
Learning on the CUNEF Executive Programs is based on an eminently practical methodology that considers not only the acquisition of knowledge, but also the development of interpersonal and managerial skills. The main challenges and characteristics of the CUNEF methodology are the following:
During the course of the program, the participants will successively work in the following learning methodologies:
Below follows a brief description of the contents of each module: For more detailed information on the objectives, faculty, methodology, etc., you can consult the detailed program for each module.
What does Big Data mean in our everyday life? How does the volume, variety, veracity and the velocity of the information affect decision-making? In what ways can we extract value from data? These are some of the questions that are tackled in the subject, with the clear objective of understanding the sources and consequences of the information flow in the transformation of the organisation towards a culture driven by data.
When developing a project, the information generated during the whole process will be one of the key aspects that we must manage in order to maximise added-value. The privacy and security legal requirements are only a part of the elements to consider. The essential elements associated to the initial control of the project, the separation of the noise from the signal, the A/B tests and the benchmarks in analytics, are fundamental aspects.
The popularisation of access to information, with storage costs that are falling exponentially, has converted information into another commodity. Opportunities are continuously arising, with challengers in every corner of the world. The analysis of the fintech attests to this characteristic. However, the associated risks are also high and different to traditions ones. We address issues relating to specific business development, such as the generation of demand and ways in which to communicate correctly and efficiently depending on our objectives and the different scenarios.
We perform an in-depth analysis of how data science and information affect the business strategy. We will see how the essential concepts in data science directly affect and impact the mental structure of the managers. Correctly managing the fundamental elements of data science will allow the managers to develop two issues that are already essential: analytical thought and the digital transformation of the business culture.
The manager needs to accurately identify what results could be expected from a data science project. The concept of expected value thus becomes a fundamental focal point in analytical thought. We will identify the correct forms for evaluating decisions and we will establish the keys for setting some adequate bases for comparison, as well as the ways in which to evaluate the return and the implications in the investment in data. We will then proceed to see what form of analytical engineering allows the design of a solution based on the available data, tools and techniques.
We will explore in detail the elements that are today even more likely. The effects of blockchain (the structure of data that makes it possible to create a digital book of transactions and share it between a distributed network of computers) in the daily management of the business operations, or in Topological Data Analysis (TDA) and how this sophisticated approach for exploiting Big Data changes the way in which complex information is used, are some of the elements that will be analysed.
We will study and analyse different success and failure stories in depth in direct relation to analytics. We will observe how the correct application of data science techniques, the development of analytical capabilities and strategy are confirmed as the fundamental drivers of business change.
We will analyse some of the keys behind the employment success of some of today’s organisations. More and more often personal skills are becoming more important than technical skills.
The end of program project is an essential requirement for obtaining the postgraduate qualification in the programs delivered by CUNEF.
The end of program projects form one of the most relevant learning milestones on the program as they allow the participants to develop and consolidate the knowledge and competences acquired in the different subjects and modules and apply them to the resolution of a specific problem, the analysis of a determined situation or the development of a new idea or project based on a discipline or subject intrinsically related to the purpose of the executive program, on which the student (or group of students) is enrolled. The project thus becomes an excellent nexus between specialised postgraduate training and professional life. All the projects are supervised by a project tutor who has a three-fold role: sector specialist, assessor of the technical quality of the project, and controller of the analysis process and development of the project.
CUNEF has an excellent faculty, it is one of our most important assets. Expert lecturers who will actively work alongside you during your training so that the effort, learning and conceptual projection of the participants is seen to be clearly reinforced after passing through our classes. They are lecturers who combine their teaching, research and pedagogical vocations with the professional and managerial duties in their respective areas. In the majority of cases, the executive education lecturers at CUNEF hold positions of managerial responsibility at national and international companies and institutions.
All the modules are delivered exclusively by active professionals with teaching experience. Specialists from the financial, transport, communication, human resources or consultancy sectors will deliver the different sessions, with the necessary rigour, under the coordination and supervision of the program directors, comprising data scientists with at least 10 years’ professional experience and CUNEF lecturers
Below follows some of the lecturers and teaching partners from the CUNEF Finance and Management Department. This list includes guest speakers and lecturers visiting from other national and international institutions.
Prof. Dr. Ricardo Queralt Sánchez de las Matas. Dr. Queralt is the co-director of the Masters in Data Science for Finance at CUNEF. He has a PhD in Quantitative Economics and has taught quantitative methods since 1990. He has taught at the Autonomous University of Madrid, the Francisco de Vitoria University and at the European University of Madrid. He currently teaches graduate and postgraduate courses at the University College of Financial Studies (CUNEF). He also co-directs the Summer School course Introduction to Data Science and its Applications in Business and Finance. He is also the director of the Doctorate department at the European University of Madrid for the programs in Spain and Latin America. His professional career outside of teaching and research has always focused on the application of quantitative methods in business, excelling in the creation of econometric and forecasting models in the areas of finance, health and sport. His professional prestige has led to him being appointed as a member of the Investor Protection and Intermediaries Standing Committee of ESMA (European Securities and Markets Authority).
Prof. Dr. Juan Manuel López Zafra. Graduate in Economics and Business Science from CUNEF, has a PhD in Economic Sciences and is a licensed actuary of the Institute of Actuaries of Madrid. He is also a full professor of Statistics and Operations Research at the UCM and a lecturer at CEU San Pablo, the Pontifical University of Salamanca and ICADE, as well as being a visiting professor of the University of California, Berkeley. He is the current co-director of the Master’s program in Data Science for Finance at CUNEF and Chief Data Officer of this institution. He is also the founding member of the Statpro 2000 Clima SL consultancy that provides both information and analysis service in the area of data science and Big Data.
Prof. Dr. Eva Aguilar. Graduate in Economics and Business Science, UCM (CUNEF). PhD in Economics and Business Science. Specialist in Compensation and Benefits, Centro de Estudios Garrigues.
Prof. Dr. Daniel Berzosa. Daniel Berzosa López graduated summa cum laude in law at the Complutense University of Madrid and obtained his PhD (summa cum laude) in 2003 at the University of Bologna, where he was student of honour of the Royal College of Spain in Bologna and dean of his class. His academic maestros were Pedro de Vega († 2016) and Giuseppe de Vergottini. He has been teaching for more than 20 years, publishing and researching in the area of graduate and postgraduate teaching. He has published numerous articles in scientific magazines, is the author of a variety of books and has participated in congresses, projects and research groups at both a national and international level. In parallel he has practised law alongside José Manuel Romero Moreno and independently since 2016, advising companies and individuals on matters of special complexity, mainly in relation to the areas of corporate activities, finance, real estate, telephony services and the exploitation of consumer products.
Prof. Patricia Enríquez. Graduate in Business and Administration Management from ICADE and has a Certificate in HR Management from the Wharton Business School. She began her professional career at Accenture, and after 14 years in consultancy, she specialised in strategy and change management. She has carried out the Admission Management for several executive programs such as the Executive MBA at the Wharton Business School (University of Pennsylvania) and the IE Brown Executive MBA (IE Business School). At CUNEF she has worked in the In Company department as head of Business Development and as programs coordinator. She is currently a member of the CUNEF Management Committee and Director of International Relations and Accreditations.
Prof. Yolanda López Blanco. Graduate in Forestry from the Polytechnic University of Madrid. Diploma in Cooperative Studies from the Polytechnic University of Madrid. Complex Project Management Program at EASDE, Barcelona. Program for Management Development (PMD) at IESE School in Madrid. She has worked as a consultant at Accenture, and is currently the lecturer in Managerial Skills at CUNEF on the graduate and postgraduate programs.
Prof. JULIÁN OLIVER. Actuary. Independent consultant. Lecturer on the Master’s degree in Data Science for Finance at CUNEF.
ALBERTO GONZÁLEZ CALERO. Head of data engineering at Cabify. Graduate in telecommunications engineering. Master’s in Decision Systems Engineering – Data Science & Big Data, at the Rey Juan Carlos University.
JAVIER G. RECUENCO. CMO Drive & Win
GOYO PANADERO ILLERA. Partner and General Manager at LLORENTE & CUENCA Spain and Portugal
David Puente. Head of Data BBVA. MBA, Columbia University
ALEJANDRO VIDAL. Data Scientist & Data Design at BBVA Data Analytics. Lecturer on Master’s in Data Science for Finance at CUNEF.
PABLO QUIROGA MARTÍN-BALMASEDA. Head of Data Governance. CDO Santander España
OSCAR BASTANCHURY. CRO, DWS Asset Management (Deutsche Bank Group)
ALMUDENA ROMÁN. General Manager of Private Banking. ING.
NOELLE ACHESON. Speaker @ Coindesk. Graduate in Applied Mathematics and Economics from the Brown University, USA.
DIEGO BODAS. Senior Data Scientist, MAPFRE. PhD in Artificial Intelligence, UCM. Lecturer on Master’s degree in Data Science for Finance at CUNEF.
GABRIEL VALVERDE. Head Data Scientist at Bankinter. Lecturer on the Master’s in Data Science for Finance at CUNEF. Studying a PhD in Mathematical Engineering, Statistics and Operations Research Development of Expert Systems with Functional Programming and Big Data Methodology. Master’s in Mathematical Engineering, Statistics and Operations Research. Application of optimisation techniques and Big Data to the problem of searching for homologies on biological data bases. Graduate in Work Sciences Statistics. Graduate in Mathematics.
JOSÉ ANTONIO RUBIO. Director of digital solutions at the Indra (Minsait) digital unit and member of the Indra innovation committee.
JUAN MANUEL ZANÓN. Minsait. Lecturer on the Master’s in Data Science for Finance at CUNEF. Executive with a consistent and extensive experience in construction, development and management of CRM (Customer Relationship Management) integrated systems. With proven experience in the application of trade and statistical models that lead to a better customer relationship, to high retention levels and subsequently the greater profitability of all channels. He has extensive knowledge of the financial sector, with vast and solid experience working with people.
CARLOS MORÓN. Minsait. Partner, Financial Services.
CUNEF maintains a very close and active relationship with the business and professional environment. The Careers Service actively manages the company work experience programs, job offers, as well as the organisation of complementary seminars and activities, the main aim of which is to provide CUNEF students with all the necessary tools and skills, and also the best possible opportunities, to facilitate their incorporation into their first job and improve their professional development.
CUNEF students have the option to participate in some of the following professional training activities:
 Las prácticas profesionales (600 horas como mínimo) se realizan, preferentemente, en empresas o instituciones con las que se haya firmado el correspondiente convenio de cooperación educativa. Para su realización CUNEF dispone de una amplia relación de convenios de cooperación educativa con instituciones, despachos, entidades y empresas de diferentes sectores industriales. En todo caso, dónde se realizan las prácticas depende de los convenios que se encuentran vigentes en cada momento, así como de las convocatorias realizadas por las empresas e instituciones colaboradoras. Así como de los criterios establecidos en los procesos de selección por cada despacho, empresa, o institución en cada momento. CUNEF no decide quién y a dónde, sino que son los despachos, empresas o instituciones los que lo hacen. Por tanto, la responsabilidad de la consecución de la empresa o institución en la que los alumnos realizan las prácticas recae en ellos. Eso sí con el apoyo y asesoramiento activo de CUNEF. Eventualmente, los alumnos podrán solicitar la convalidación de la asignatura de prácticas en el caso de acreditar experiencia profesional, o prácticas profesionales, realizadas previamente.
During the year of the Master’s, the day to day teaching activities are complemented with another series of activities so that the participants expand their knowledge, reinforce their professional direction, experiment in the professional environment or, gauge initiatives and proposals developed by the leading experts in the professional world of finance. The Program also includes the following complementary activities:
CUNEF’s executive programs are designed to help participants confidently face the new challenges and demands of the current professional environment, characterised by change and continuous innovation, the inevitable presence of new technologies, and global competition. The current managerial setting requires specially trained professionals, with solid capacities for economic, financial and strategic analysis, with the wisdom to measure, analyse, forecast and control risk in its infinite manifestations. With an international outlook and focus, versatile and with leadership and communication skills to mobilise and form multidisciplinary teams. Committed to the generation of economic value, while remaining involved in satisfying the expectations of their stakeholders. And lastly, with values and principles that are simple, but not always frequent: transparency, honesty, professionalism, dedication, commitment, etc.
The knowledge and skills that Executive Program participants will develop include:
19 December 2019
Más de 300 futuros personas asistieron al evento en el que se realizaron distintos talleres