Objectives and competences

This master's degree offers comprehensive training in artificial intelligence (AI) in the finance sector, as well as a strong technical grounding in product development and financial advice. Students will learn about different aspects such as quantitative analysis and the most advanced applications of AI. The programme puts a strong emphasis on the development of innovative financial products and expert advice, preparing students to face challenges in digital banking and entrepreneurship. Skills related to asset management, risk analysis and predictive algorithms will be developed through practice.

Basic information

TypePostgraduate courses
CertificateLifelong learning master's degree certificate
Faculty or schoolFacultat d'Economia i Empresa
Branch of knowledge
  • Economic sciences, business administration and management, marketing, commerce, accounting and tourism
  • Computer and systems engineering
  • Mathematics and statistics
Mode of deliveryBlended
Credits60
Length of course1 academic year
Language(s) of instructionSpanish
Enrolment fee:First year: 7.300,00 €
An increase of 10% is applied to the price, up to a maximum of € 70, as administration fee
In-company placement(s):Yes
Start of teaching period:08/10/2024
End of teaching period:06/09/2025
E-maildrey@ub.edu
Master's degree course homepage www.ub.edu/ai
ManagmentRey Miró, Damià
Open pre-enrolmentNo
Lead to doctoral studiesNo
Admission for applicants not holding a degree qualification:Sí, amb crèdits pendents (10% o menys)

Objectives and competences

Objectives

Advanced knowledge: To acquire advanced training in artificial intelligence techniques and technologies for financial markets.
Development of real projects: To take part in practical projects through collaborations with leading companies in the sector.
Transferable skills: To develop project management, problem-solving and critical thinking skills.
Preparation for professional life: To acquire the preparation for leading roles in the finance sector.
Competences:

Technical competences: Ability to master algorithms for machine learning, natural language processing and big data analysis.
Practical skills: Ability to apply theoretical knowledge in practical contexts and to solve complex problems encountered in the financial sector.
Innovation and creativity: Ability to develop innovative solutions and to adapt to technological advances and changes in the market.
Teamwork: Ability to collaborate with multidisciplinary teams and communicate effectively with different stakeholders.
Networking: Ability to construct a valuable professional network through company placements and collaborations.

Access and admission

Applicant profile and access requirements

Recommended applicant profile

It is intended for people with technical backgrounds, such as engineers,economists, BBA, mathematicians and physicists or with other STEM degrees. These may be recent graduates or more seasoned professionals who want to enter the world of financial markets through the application of new technologies.

Access requirements and conditions

The course is also open to students with no prior university education, who will acquire the same knowledge and skills and receive a specific qualification for their learner group. Information on the access requirements and other conditions can be obtained from the course directors.

Pre-enrolment

Calendar

08/05/2024 21/10/2024

Contact us

Faculty or school where the course is taught


Address:Facultat d'economia i empresa
Avinguda Diagonal, 690, 696

08034 - Barcelona
Espanya
Email address:drey@ub.edu
Webpage:www.ub.edu/ai
Telephone:934024300

For further enquiries


Address:Damià Rey Miró
Josep Serrano 20

08041 - Barcelona
Espanya
Email address:drey@ub.edu
Webpage:www.ub.edu/ai
Telephone:677404098

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