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Online Postgraduate Course in Data Management
Online Postgraduate Course in Data Management
Learn to manage, exploit, analyse, and make appropriate data management decisions based on the generation, capture, and processing of data. Train in the growing area of big data, and specialize in the digital environment and in the management of quality data, the most important strategic asset of companies today.
The concept of data management and the new professional opportunities linked to it have arisen as a consequence of the proliferation of information technologies and the massive generation of data on the Internet. The challenge that companies have today is to have a data governance policy for their databases that facilitates the management and analysis of this data for making strategic decisions while managing projects in marketing, sales, finance, planning, logistics, innovation in products, and services, among others.
The methodology of the Online Postgraduate Course in Data Management trains you to manage and analyse your company's data through two main pillars: data management and knowledge of data at a technical level.
The first pillar prepares you to understand how a data-driven company should work, what data mining consists of, how to manage end to end (e2e) data projects, how to design data management, governance and security policies during data processing (privacy, access, and confidentiality), how to optimally present them (visualization) and how to improve decision-making in project management based on Game Theory. This will enable you to understand data management and to provide intelligence to the data of a company, and improve decisions regarding its operations through business analytics systems (to better understand the profile of clients and organizations, improve traceability, increase conversion, increase loyalty, improve security, innovate in new products and improve logistics processes, among others).
The second pillar focuses on understanding data at a technical level in the context of information systems. For this reason, we propose a common base on data analytics techniques in companies, the identification of data mining and machine learning problems, including statistical contents of probability and prediction of a variable from historical data and multiple databases. You will practise the main tools of business intelligence and Big Data management for handling large volumes of data and, if you so choose, you will be able to delve into the optional credits for data programming with the "R" programming course, the programming language designed for data analytics. No previous knowledge or professional experience will be required to get started in this programming language.
To close out the program, you will develop a real project in data analytics from beginning to end, applying the knowledge and methodologies acquired in the course, which will serve as a cover letter for new projects and professional opportunities or as a contribution of great value to your current organization.
The Online Postgraduate Course in Data Management is endorsed by Pompeu Fabra University, the 1st Spanish university and the 15th best university in the world (of those with less than 50 years), according to the Times Higher Education ranking. In addition, UPF Barcelona School of Management has EQUIS accreditation, the most prestigious institutional recognition for business schools globally.
Why choose this program
Gain access to a professional profile in high demand
You will specialize in data management and big data, one of the areas with the highest growth and employability today and with a forecast of accelerated growth in the coming years. The proliferation of companies oriented to the management of new technologies and data (data-driven) has led to an exponential growth in the demand for professionals specialized in data management and business intelligence in any sector.
Undertake an end to end data management project
With the knowledge acquired, you will have the opportunity to learn the process for implementing a data and business analytics project in any sector, from start to finish (e2e). You will also practise decision-making in project management, in the only postgraduate course in data management with a methodology that teaches Game Theory to its students.
We adapt to you
The online-remote and fully digital methodology will allow you to get the best of both worlds, online and on-campus, giving you flexibility to study and acquire knowledge at your own pace and, at the same time, the necessary interaction, through live classes, with the teacher and your colleagues from the university.
Learn from experts in the sector
We will connect you with teachers of the highest academic level and proven track record in Data Analytics and Big Data who will provide you with the teaching rigour and professional experience of the UPF-BSM, as well as the real needs of data-driven and data mining companies in the present.
Obtain a prestigious international qualification
You will obtain a qualification in data analytics, data management, and strategic thinking, backed by the recognition and academic quality of UPF, the number one university in Spain thanks to its valued methodologies.
Study at an accredited school
Study at a school accredited by EQUIS, an international distinction that guarantees the quality of our institution and makes us the 1st school of management linked to a public university with this accreditation in our country.
Who is it for?
The data management postgraduate course is aimed at university graduates from the field of engineering or social sciences who want to improve their professional experience, and who are developing or want to develop in the management of data in order to make decisions, both at the business and functional level in all types of organizations.
Curriculum
The course consists of 8 compulsory subjects on data (3 ECTS credits each) and 2 optional subjects (3 ECTS credits each), of which students must select 1.
All students must complete an individual Postgraduate Final Project that highlights the knowledge acquired in data management and big data.
- What is probability and what is statistics?
- Basic probability and statistics tools
- Distributions applied to companies
- Data in the description of situations
- Exploring the data
- Infer parameters and understand their reliability
- Prediction
- Simplification of large volumes of data and data management
- Extraction of hidden information
- Segmentation of individuals according to data
- Visualization as a communication tool
- Chart types
- Visualization software
- What is a data-driven company?
- Pillars for a data-driven organization:
- Technology
- Culture
- Governance
- Data Maturity models
- Data life cycle
- Return on Investment of data-driven initiatives in organizations.
- Statistics, probability and decision
- Decision techniques: data-driven and data-informed
A real case of a complete data-driven project in companies
This subject will review the technologies available on the market for different aspects of data: data collection, storage, organization, analysis, and visualization.
- Software and specific programs applied to Data
- Programming language: R and Python
- Data visualization: Excel, PowerBI, R, and Tableau
- Databases: MSQL
- Watson Studio or Azure Machine Learning
Note on the Curriculum
Complementary activities
The Online Postgraduate Course in Data Management also includes the possibility of participating in practical activities and activities for personal and professional growth such as:
- UPF-BSM Inside: is a group of interdisciplinary subjects (applied data, communication, creativity, innovation and project management, sustainability and leadership among others) that, if you take this program, you can access at no additional cost. They are 100% online and you can take them throughout the academic year at your own pace, as they have been designed as self-study subjects.
Qualification obtained
Once you have passed the program, you will obtain an electronic degree (e-Título) for the Diploma de Postgrado en Data Management, issued by Pompeu Fabra University.
The e-Título is an authentic digital degree, issued in pdf format and electronically signed, with the same legal validity as if it were in paper format.
Faculty
The program has been designed by Lluís Vicent Safont, an expert in Data Analytics with extensive experience in the academic world and education, training managers in companies and multinational organizations in Data Analytics and Data Management.
The program proposes a double approach or methodology around data and data management:
- Academic: thanks to a faculty made up of doctors in engineering, information technology, business, and economics who will transfer to students knowledge about data, and the rigour of several of the most important universities in the country.
- Professional: thanks to the participation of professionals from the sector, who provide a clear vision of the data management market and the application of this knowledge to the current reality of companies that apply business intelligence.
Academic directors
Faculty
Collaborating faculty
Global Executive Master in Digital Business. Master in Innovation and Digital Transformation. Associate Professor at different universities.
Data Governance (CDO) | Data Architecture | Big Data & Advanced Analytics Strategy - SegurCaixaAdeslas. Degree in Mathematics and Computer Science from Universidad Complutense de MadridUniversidad Complutense de Madrid. Executive Master, Financial and Insurance Entities by IEB. Expert in Data Science, Software Engineering by U-TAD University of Technology and Digital Arts.
Data Science Principal at King. Part-time Lecturer at UPF Barcelona School of Management. Engineer, Master in Electronic Engineering and PhD in Computer Science from Ramón Llull University.
Engineering Manager at ADEVINTA Computer Science Engineering and Master Computer Science Management at URL. Certified in CSPO and CSM by Scrum Alliance
Data Manager | Transformation Lead | Advanced Analytics | Data Governance en SegurCaixa Adeslas. Profesor Asociado en la UPF BSM. Licenciado en Estadística e Inteligencia de Negocio por la Universidad Carlos III de Madrid. Máster en Data Mining y Business Intelligence y PdD en Filosofía, Data Science y Estadística por la Universidad Complutense de Madrid. Data Science Specialization Data Science Specialization por la Johns Hopkins University School of Education. Especialización en Machine Learning por la University of WashingtonUniversity of Washington.
- Daniel Navarro Martínez
Daniel Navarro-Martínez is Assistant Professor at UPF and Collaborating Professor at UPF-BSM. Before coming to Barcelona, he was a postdoctoral researcher at the London School of Economics and a postdoctoral researcher at the University of Warwick.
Methodology
At UPF-BSM we are committed to a flexible, digital and dynamic online model, the aim of which is to place the student at the centre of the process so that they are the owner of their learning and knowledge acquisition process.
To facilitate day-to-day management and the achievement of your academic goals, the program on data is structured into subjects with which you will acquire knowledge, and instrumental and aptitude skills, which will open up numerous professional opportunities related to the management of new technology and information systems. These subjects on big data are presented in an organized and sequential way so that you can focus 100% and get the most out of them.
All this, while having 24/7 access to the virtual environment so that you can organize your study without schedules and at your own pace. In this way, you can combine it with your work and personal life, making the most of the time you have for it.
Online-Remote Methodology
The course combines the methodology of online training, with the following of classes by videoconference so that you can interact in real time with the expert teacher and your classmates. In order to be flexible with our training, we record the sessions so that you can consult them later if you have not been able to connect and in this way not lose the thread of your education.
Didactic and interactive teaching materials
We rely on materials in various formats to make the experience of the students more motivating and challenging: videos, case studies, tests, content maps, and downloadable resources in digital format. These materials are periodically updated so that you have at your disposal the latest knowledge, skills, and tools to take your career linked to information technology to the next level.
Active and collaborative learning
Participation and discussion with your classmates and teachers are essential and enriching for the collaborative learning process around big data, business analytics, and data management. For this reason, we will provide you with different tools and ways to connect, such as videoconference classes, discussion forums, and coffee forums to encourage the exchange of ideas and networking.
Personalized support
To make your experience and education more tangible and immediate, you will have the support of fundamental people such as the teacher, who will guide you in consultations of the subject of the program on data, business analytics, and databases, the program manager, who will support you in the monitoring and general operation of the program, and the career advisor, who will guide you in your search for career opportunities in companies.
Evaluation
The evaluation of the students will combine the assessment of the following of the contents through evaluation tests, group and individual practical work, contributions to the debate forum, and the Postgraduate Final Project, with its defence, as the culmination of the data management program.
Tools
The learning process is characterized by its flexibility, since, in the virtual learning environment, the structure of the school calendar and the diversity of multimedia resources which are made available to the student allows them to acquire knowledge in a self-regulated manner.
The support of the teaching staff and interaction with classmates is carried out by making use of a wide variety of communication channels that facilitate proximity and didactic dialogue.
Professional Future
The Online Postgraduate Course in Data Management gives you the necessary education to enter a growing market in high demand in today's companies and become the benchmark for the management and governance of databases in your organization, as well as transforming data into useful information for making business intelligence decisions and managing data mining, big data, and end-to-end data mining projects.
Student profile
You will share a classroom with professionals from different backgrounds (Business Administration, Information Technology, Data Processing, Business Intelligence, Data Management, Engineering, Sales, Marketing, and Design), from different national and international backgrounds, who are looking for flexible quality training, that allows them to combine their work and personal life with academic experience, and which opens new professional opportunities.
Career opportunities
From Professional Careers Service, you can count on our Talent UP professional development and education program, a training complement designed to increase the value and positioning of our students in the professional market. This program provides you with tools and resources, through individual professional advice, training activities, events with companies, and professional opportunities in the big data and data management sector.
- Chief Data Officer (CDO)
- Big Data Consultant
- Data Analalyst Consultant
- Business Inteligence Manager
Grants, scholarships and financing
Scholarships
The UPF Barcelona School of Management offers you different means of financing so that you can take any of our programs without worry. We offer you the opportunity to finance part of your program, either by rewarding your talent through scholarships, through grants from entities dedicated to promoting education or through collaboration agreements with financial entities.
Grants and discounts
UPF Partner Latinoamerican Universities Discount
If you are alumni of one of our Partner Universities, you are entitled to a discount of 10% on the UPF Barcelona School of Management Masters and postgraduate program tuition fees (those programs with more than 15 credits).
*Discount not compatible with other scholarships, discounts and reductions.
Funding
Financing simulator
You can choose how to finance your studies by consulting our simulator.
Collaborating entities
In addition, we collaborate with various entities which provide study loans on favorable terms. For more information you can contact any of the following links.
CaixaBankBBVACaixa d'EnginyersAGAUR