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.

  • Data analytics
  • Big data
  • Data management
Next edition
Classes start
29 September, 2021 (To be confirmed)
Program ends
31 March, 2022 (To be confirmed)
Language
Spanish
Modality
Online
ECTS credits
30
Price
3650 €

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 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.

Why choose this program

01

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.

02

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.

03

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.

04

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.

05

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.

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.

Admission and enrolment

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.

Compulsory Subjects

Probability and basic statistics
  • What is probability and what is statistics?
  • Basic probability and statistics tools
  • Distributions applied to companies
Data Analytics: exploratory, descriptive, inferential, and predictive
  • Data in the description of situations
  • Exploring the data
  • Infer parameters and understand their reliability
  • Prediction
Data classification and extraction of relevant information. Data mining and Big Data
  • Simplification of large volumes of data and data management
  • Extraction of hidden information
  • Segmentation of individuals according to data
Data visualization and communication
  • Visualization as a communication tool
  • Chart types
  • Visualization software
DATA MANAGEMENT
Introducción a los datos: empresas data-driven
  • ¿Qué es una empresa data-driven? 
  • Pilares para una organización data-driven: 
    • Tecnología
    • Cultura
    • Gobernanza
Data Management
  • Data Maturity models
  • Ciclo de vida de los datos en los sistemas de información
  • Return on Investment de iniciativas basadas en datos en organizaciones.
Decisión con datos: Teoría de Juegos
  • De la estadística a la probabilidad y a la decisión
  • Técnicas de decisión: data-driven data-informed
Caso Práctico de Data Management

 Caso real de un proyecto completo data driven en empresas

Optative subjects

Programming in R

Complete overview of the programming language: R (without prerequisites)

Data Analytics in Sport
  • Sports data
  • Support for coaches
  • Strategic decision

Qualification obtained

Once you have passed the program, you will be awarded the degree of Diploma de Postgrado en Data Management, issued by Pompeu Fabra University.

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

Lluís Vicent Safont

Senior Lecturer BSM

Faculty

Carles Murillo Fort

Academic Director

Lluís Vicent Safont

Senior Lecturer BSM

  • Xavier Gumara

Engineering Manager at ADEVINTA Computer Science Engineering and Master Computer Science Management at URL. Certified in CSPO and CSM by Scrum Alliance

  • Miquel Ribó

Senior R&D Engineer at Wavecontrol Telecommunication Engineering at UPF. Ph.D in Electronics at URL. Master DataScience and Specialization in Business Intelligence at UOC.

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.

01.

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.

02.

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.

03.

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.

04.

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

Admission and enrolment

Our admission process consists of a rigorous evaluation of each application to preserve the quality of the group as well as the training, experience, and work capacity of all students.

Who can apply?

You should have a university degree to be able to apply.

Other candidates without the required university degree will be able to access the admission process by virtue of their professional and academic merits and the place of work they occupy. Upon passing the program, they will receive a certificate of completion issued by the UPF Barcelona School of Management.

How to apply?

To apply for admission to this program, students must read and accept the Terms and Conditions of Contract once they start the application for admission through the following form.

Application for admission

Complete your application within the next admission rounds:

RoundApplication deadlineAdmission resolution
111/11/202026/11/2020
203/12/202018/12/2020
317/12/202031/12/2020
412/01/202128/01/2021
502/02/202117/02/2021
623/02/202110/03/2021
716/03/202131/03/2021
808/04/202123/04/2021
927/04/202112/05/2021
1013/05/202128/05/2021
1127/05/202111/06/2021
1208/06/202123/06/2021
1322/06/202107/07/2021
1406/07/202121/07/2021
1520/07/202130/07/2021
1602/09/202117/09/2021
1716/09/202101/10/2021
1805/10/202120/10/2021
1921/10/202105/11/2021

Applications for admission will be evaluated when you complete the following steps:

  • Complete the online admission form.
  • Pay the €120 admission fee. This amount will be returned if you are not admitted.
  • Send the following documents through the online platform e-registrar:
    • Presentation letter or video
    • CV
    • Scanned copy of university degree (if you are in the last year of your degree, you can provide your academic records)
    • Scanned copy of Transcript of Records. Make sure that it includes your GPA (Grade Point Average)
    • Scanned copy of ID Card or Passport
    • Passport-size photo (jpg format)

Additional documents may be requested in certain cases.
Application rounds are subject to the number of places available on the program.

Admission

  • The Admissions Committee will select the candidates on the basis of a personal or CV-based interview.
  • You will be notified of the admission decision in writing.

Enrolment

  • Registration must be paid within a 15 days after the admission.
  • Once the letter of acceptance to the program has been received, you will need to submit the following original documents before the course begins:
    • Stamped and/or authenticated photocopy of your university degree.
  • If you have a foreign degree you may need to submit additional documents.
  • Paying the reservation fee (25% of the program's tuition fees) is essential in order to reserve your place
  • If you pay the tuition fees by bank transfer you will be required to introduce the program code. The program code for this course is 2978.
  • The remaining tuition fees must be paid 2 weeks before the start of the course.

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

Funding

Financing simulator

You can choose how to finance your studies by consulting our simulator and receive an answer in less than 24 hours.

Go to the simulator

Collaborating entities

In addition, UPF Barcelona School of Management collaborates with various banks and financial entities which provide study loans on favorable terms. For more information you can contact any of the following links (in Spanish).

Note, however, that in order to benefit from these special conditions you must have a NIE if you are not a European Citizen. Therefore, UPF Barcelona School of Management strongly recommends international students to seek first for students loans at bank entities of their country of origin, or to search for funding opportunities through international entities.

The Agency for Management of University and Research Grants of Catalonia (AGAUR, in Spanish) also offers loans to university students with legal residence in Catalonia through the PREPOST program.

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Application for admission
You are applying for admission to the program:
Online Postgraduate Diploma in Data Management
Modality: Distancia
Language: Spanish
Price: 3650
Admission fee: 120
We will deduct this amount from the total registration fee if your application is accepted. If your application is rejected, we will reimburse you.
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Online Postgraduate Course in Data Management