Objectives and competences
This master's degree offers training in artificial intelligence applied to the financial sector, combining a solid technical foundation with the development of innovative products and financial advice. Students will learn from quantitative analysis to advanced AI applications, with a hands-on focus on creating disruptive solutions. The program prepares you to face challenges in banking and digital entrepreneurship, highlighting areas such as asset management, risk analysis and predictive algorithms.
Courses of postgraduate course that integrate the master or postgraduate degree and that can be processed separately
Courses of postgraduate course that integrate the master or postgraduate degree and that can be processed separately
Basic information
| Type | Postgraduate courses |
|---|---|
| Certificate | Lifelong learning master's degree certificate |
| Coordinating faculty | Facultat d'Economia i Empresa |
| Branch of knowledge |
|
| Mode of delivery | Blended |
| Credits | 60 |
| Length of course | 1 academic year |
| Language(s) of instruction | Spanish |
| Enrolment fee | First year: 7.200,00 € An increase of 10% is applied to the price, up to a maximum of € 70, as administration fee |
| In-company placement(s) | Yes, extracurricular |
| Start of teaching period | 07/10/2025 |
| End of teaching period | 06/09/2026 |
| drey@ub.edu | |
| Master's degree course homepage | www.ub.edu/ai |
| Managment | Rey Miró, Damià |
| Open pre-enrolment | Yes |
| Lead to doctoral studies | No |
| Admission for applicants not holding a degree qualification | Sí, amb crèdits pendents (10% o menys) |
Objectives and competences
Objectives
- Development of real projects: Participate in practical projects in collaboration with leading companies in the sector.
- Transferable skills: Develop skills in project management, problem-solving, and critical thinking.
- Preparation for the job market: prepare for leadership roles in the financial sector, with a focus on employability.
Competences:
- Technical skills: mastery of machine learning algorithms, natural language processing and analysis of large volumes of data.
- Practical skills: Ability to apply theoretical knowledge in practical contexts and solve complex problems in the financial sector.
- Innovation and creativity: ability to develop innovative solutions and adapt to technological and market changes.
- Ability to work as part of a team: collaborate effectively in multidisciplinary teams and communicate effectively with different stakeholders.
- Network of contacts: building a valuable professional network through business internships and collaborations.
Access and admission
Applicant profile and access requirements
Recommended applicant profile
People with technical profiles, such as engineers, economists, business administrations, mathematicians, physicists or holders of other STEM studies, who have recently graduated or already have a professional background, 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
05/03/2025 27/10/2025Contact us
Classes
| 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 |
Further information
| Address | Damià Rey Miró Josep Serrano 20 08041 - Barcelona Espanya |
|---|---|
| Email address | drey@ub.edu |
| Webpage | www.ub.edu/ai |
| Telephone | 677404098 |