Postgraduate Course in Digital Banking and Big Data

The digital revolution is transforming the financial services industry. Train yourself in new technologies and business models in the sector and become a professional capable of facing the challenges of this new scenario.

  • Digital Banking
  • fintechs
  • blockchain
Next edition
Classes start
28 September, 2021 (To be confirmed)
Program ends
15 March, 2022 (To be confirmed)
Schedule
Remote classes on Tuesdays, Wednesdays and Fridays: 18–20 pm (Madrid time GMT +2) / 11–13 am (Lima time GTM -5)
Language
Spanish
Modality
Online
ECTS credits
15
Price
2600 €

The Postgraduate Course in Digital Banking and Big Data is essential training in today's financial institutions. The program will train you to be able to interact with technology and finance, and will help you learn about new forms of data processing and their influence on financial markets. In addition, it will train you to assess the chances of success of a fintech and to advise a financial institution on strategic decisions.

The technical training offered by the course will allow students to understand how data is obtained and processed through Python. You will learn what a hash is, a decentralized ledger and also cyber security elements for making strategic decisions in financial institutions. In short, the postgraduate program will give you the competitive advantage you need to grow and face new professional challenges related to technology, the digital revolution, and new ways and models of financial business.

Why choose this program

01

Obtain a professional profile in high demand

In a context of rapid change, we offer up-to-date technical training in the area of finance, focused on the new financial modalities of fintechs and digital banking.

02

We adapt to you

The remote methodology will allow you to get the best of both worlds, online and face-to-face, giving you flexibility and at the same time the usual interaction between teacher and students typical of face-to-face classes.

03

Learn from a prestigious academic team

With professors from the UPF area of Economics and Business and with professionals from the sector, who guarantee the teaching rigour of the UPF-BSM.

Who is it for?

It is aimed at professionals in the financial world who want to update their knowledge of new techniques in data processing (big data and machine learning) and their importance in financial markets (digital banking, fintechs, crypto assets, and financial innovation).

Admission and enrolment

Curriculum

The Postgraduate Course in Digital Banking and Big Data is structured in 3 main areas that contain the related subjects. At the end of all the subjects, the participant must carry out a Postgraduate Final Project in which they will put into practice all the contents acquired throughout the course.

Introduction to fintech and digital technology
Introduction to fintech and digital technology

You will be shown a classification of fintechs and the possibilities of new technologies, the importance of information, and its treatment through APIs with the necessary computer technology for reaching efficient solutions. Specific cases of success and failure of fintechs will be analysed, examining their business model. In particular, we will study how new technologies affect the financial sector, the impact of specialized platforms, crowdfunding, equity investment, and crowdlending or peer-to-peer loans (P2P), and new models of relationships with the client as well as new forms of marketing.

Data science
Exploratory, descriptive, inferential, and predictive data analysis

Starting from a basic level of statistics, methods for obtaining, analysing and predicting data will be developed using the Python program. In particular, databases on the web and scrapping, Python libraries for statistical analysis, (Pandas, Numpy, etc.), applications of inferential statistics, regression analysis, and time series will be examined.

Data Science for Finance

An overview of the main issues with machine learning and data analysis will be provided. The models used to solve these problems, the algorithms to train the models, and ways to evaluate their effectiveness will be examined. Particular emphasis will be placed on their applications in the financial sector. In particular, the approach to neural networks, machine learning, and artificial intelligence will be discussed, and they will be compared with factor analysis and Cluster analysis.

Fintechs
Distributed ledgers and blockchains

The operation of Decentralized Registries (DLT), their advantages, disadvantages and the possible benefits of using Blockchain will be described. To do this, important aspects of cryptography will be examined, such as hash functions, public or private keys, digital signatures, and proof of zero knowledge. Later, consensus algorithms and their characteristics will be looked at.

Crypto assets

New forms of payments and financing, decentralized payment systems and programmable money, smart contracts, and the digital money of central banks will be examined, along with the problems they imply.

Regulation and legislation

The regulation and protection of data, digital identity, cyber security, and the regulation of fintechs and crypto-assets will be examined.

Postgraduate Final Project
Postgraduate Final Project

The Final Project will analyse a project based on financial data that uses the techniques: statistics, big data, and econometrics with Python programming. The work will be supervised by a mentor and will be presented publicly in front of a committee made up of three professors from the program.

Qualification obtained

Once you have passed the program, you will be awarded the degree of Curso de Postgrado en Banca Digital y Big Data, issued by Pompeu Fabra University.

 

 

Faculty

Academic directors

Xavier Freixas Dargallo

Distinguished Full Professor UPF

Faculty

Oscar Elvira Benito

Senior Lecturer BSM

Xavier Freixas Dargallo

Distinguished Full Professor UPF

Luz Parrondo Tort

Head of Accounting and Finance
Senior Lecturer BSM

Lluís Vicent Safont

Senior Lecturer BSM

Methodology

Remote methodology. This combines the monitoring of classes in real time with the review of additional materials prepared with the rigour of the UPF-BSM.

Classes in real time will be held on Tuesdays, Wednesdays and Fridays, from 6 am to 8 am (Lima time) / 1 pm to 3 pm (Madrid time). Classes will be recorded in case a student cannot attend one of them.

Show video

01.

Synchronous classes

Classes in real time that will allow contrasting approaches and sharing of thoughts, analysis, and case discussions with industry experts.

02.

eCampus platform

With additional learning resources and materials that will complete your training.

03.

Practical approach

Undertaking individual or group work and activities with a professional vision.

Evaluation

The evaluation will combine the assessment of the monitoring of the contents through a multiple choice exam and the completion of individual or group assignments and activities, including contributions to the forum and the Postgraduate Final Project, with its defence, as the culmination of the subject.

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 Postgraduate Course in Digital Banking and Big Data prepares all professionals in the financial environment who want to learn about and delve into new techniques in data processing.

Student profile

You will share a classroom with active professionals from the financial sector and from different backgrounds (Accounting and Finance, Economics, Business Administration, Engineering or Law), from different national and international origins, who are looking for flexible quality training that allows them to combine their work and personal lives with academic experience.

Career opportunities

The program prepares you so that you can develop your professional future in credit institutions (banks, credit unions), insurance companies, investment services companies (securities and exchange companies and agencies, portfolio management companies, and collective investment institutions) and regulatory bodies.


  • Financial innovation analyst
  • Manager or analyst of means of payments
  • Risk analyst
  • Compliance officer
  • Client Solutions
  • Fusions and acquisitions
  • Investment and private equity analyst
  • Research department analyst

 

FINTECHS:

  • Fintech Risk Officer
  • Financial planning analyst
  • Client Solutions

 

INSURERS:

  • Insurance innovation analyst
  • Insurtech Operations Management
  • Insurtech Analyst
  • Manager or analyst of functional areas affected by new players: life, home, cars, etc.
  • Operations analyst

 

PROPTECH:

  • Real estate risk officer
  • Real estate risk analyst
  • Financial planning analyst

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?

University graduates.

Those participants who, having passed the course, cannot prove possession of a university degree 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 3344.
  • 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.

Social Value Scholarships

UPF Barcelona School of Management, for this next academic year, and aiming at the commitment for social welfare, offers the Social Value Scholarships with the objective of supporting and favoring the groups that the School considers a priority. Enter and consult the details.

Beca UPF-BSM

Apply for one of our UPF-BSM Scholarships, awarded specifically to Pompeu Fabra University students with a good academic record.

Grants and discounts

Alumni discounts

If you are a member of our alumni associations or of one of our partner universities, we offer you a series of applicable discounts on the amount of tuition for your program.

UPF Employee Discounts

If you are a member or family member of an employee of the UPF group or belonged to the collaborating institutions of the UPF Barcelona School of Management, you can enjoy a series of applicable discounts on the tuition fees for your program.

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:
Postgraduate course in Digital Banking and Big Data
Modality: Distancia
Language: Spanish
Price: 2600
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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Postgraduate Course in Digital Banking and Big Data