Objectives and competences
This training programme offers students an educational experience that focuses on practical application, but provides a thorough and methodical understanding of the principles and tools essential to their professional development in the field of data science. The course content ranges from data manipulation and analysis to the use of generative AI to the creation of predictive models using machine learning. The focus of the course allows it to be followed by students with diverse studies, ranging from more scientific and technical degrees to degrees more related to the economy or the world of business.
Basic information
| Type | Postgraduate courses |
|---|---|
| Certificate | Expert diploma |
| Faculty or school | Facultat de Matemàtiques i Informàtica |
| Branch of knowledge |
|
| Mode of delivery | Face-to-face |
| Credits | 15 |
| Length of course | 1 academic year |
| Language(s) of instruction | Spanish |
| Enrolment fee: | First year: 2.250,00 € An increase of 10% is applied to the price, up to a maximum of € 70, as administration fee |
| In-company placement(s): | Yes |
| Classes begin: | 10/02/2025 |
| santi.segui@ub.edu | |
| Master's degree course homepage | http://www.ub.edu/datascience/postgraduate/ |
| Managment | Seguí Mesquida, Santi |
| Open pre-enrolment | No |
| Lead to doctoral studies | No |
| Admission for applicants not holding a degree qualification: | Sí, amb crèdits pendents (10% o menys) |
Objectives and competences
Objectives
- To gain knowledge of data science, a new professional area to respond to the technological and social challenge of controlling and interpreting the vast amount of data that are generated on actions that take place in the real world in many aspects of personal and professional life, from electronic purchases to scientific or financial research, given that these data are just noise if they are not monitored and interpreted.
- To gain a sound understanding of computing, statistics and mathematics, which are at the core of big data, a key element in areas such as genetics (for example, to decode the human genome), personalized health, internet information, interactions in social networks and even applied physics or astronomy. To learn about the most suitable technological environments for development, given that a key aspect of data science is the need to process very large datasets that exceed the capacity of current computers.
- The course is based on an ecosystem of tools, focused on Python language, which covers all phases of a big data project: from data exploration and prototyping to data-based product development.
Access and admission
Applicant profile and access requirements
Recommended applicant profile
- University graduates in computing, statistics and mathematics, interested in learning about the world of data science.- Holders of other qualifications who have basic notions of data processing, statistics and computer science.
Access requirements:
- The course is practical and focused on the use of computing techniques to resolve specific problems. Therefore, candidates must have a basic level of Python programming.
- Students should also have their own laptop, to be able to work through the interactive lessons).
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
Contact us
Faculty or school where the course is taught
| Address: | Facultat de Matemàtiques c/ Gran Via, 585 08007 - Barcelona Espanya |
|---|---|
| Email address: | datascience@ub.edu |
| Webpage: | https://datascience.ub.edu/ |
| Telephone: | 93 402 16 11 |
| Observations: | Tuesday and Thursday, from 6 to 8 p.m., at the Faculty of Mathematics (students should bring their own laptop to install the software required for the course). |
For further enquiries
| Address: | Santi Seguí Mesquida Departament de Matemàtiques i Informàtica Facultat de Matemàtiques, c/ Gran Via, 585 08007 - Barcelona España |
|---|---|
| Email address: | santi.segui@ub.edu |
| Webpage: | http://www.ub.edu/datascience/postgraduate/ |
| Telephone: | 93 402 16 11 |