Online Postgraduate Course in Data Management

Overview
Curriculum
Faculty
Methodology
Professional Future
Admission and enrolment
Scholarships and funding

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
Data governance
Data strategy
Data visualization

Next edition

Start program: 31 January, 2024 (To be confirmed)

End program: 31 July, 2024 (To be confirmed)

Modality

Online

Language

Spanish

ECTS credits

Schedule

Fridays from 18:00 to 21:00 h

Price

4500 €

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.

Learn more

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.

Admission and enrolment

1/2

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.

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:

Round	Application deadline	Admission resolution
14	18/07/2023	27/07/2023
15	01/09/2023	14/09/2023
16	14/09/2023	28/09/2023

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.