Objectives and competences
The master's degree in Behavioural Data Science is an innovative, pioneering and priority master's degree that will enable those who take it to be able to draw conclusions, with psychological meaning, from the data. This proposal is made to increase interdisciplinarity between professionals in behaviour and psychology and professionals in Data Intelligence, machine learning or computational modelling. A lot of data is being generated and conclusions drawn from it in all areas, without taking Psychology into account.
Basic information
| Type | Postgraduate courses |
|---|---|
| Certificate | Lifelong learning master's degree certificate |
| Faculty or school | Institut de Formació Contínua IL3 |
| Branch of knowledge |
|
| Mode of delivery | Distance |
| Credits | 60 |
| Length of course | 1 academic year |
| Language(s) of instruction | Spanish |
| Enrolment fee: | First year: 4.700,00 € An increase of 10% is applied to the price, up to a maximum of € 70, as administration fee |
| In-company placement(s): | No |
| Classes begin: | 02/11/2023 |
| info@il3.ub.edu | |
| Master's degree course homepage | http://www.il3.ub.edu |
| Managment | Gallardo Pujol, David |
| 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 rigorous knowledge of the most common data science and machine learning techniques applied to human behaviour.
- To acquire a range of practical skills that will enable them to launch or enhance their professional careers as data scientists.
Access and admission
Applicant profile and access requirements
Recommended applicant profile
- University graduates in the social and behavioural sciences: psychology, sociology, economics, educational sciences, political sciences.- In the case of professionals from other disciplines, they can access the programme as long as their training is validated beforehand.
Required academic:
- English level B2 (some required readings and videos are in English).
- Students must have a basic understanding of descriptive and inferential statistics (at the university introductory course level).
- Previous knowledge of one or more programming languages is also recommended (such as C, Java, Python or SQL).
Access requirements and conditions
Pre-enrolment
Contact us
Faculty or school where the course is taught
| Address: | Institut de Formació Contínua - UB C/ Ciutat de Granada, 131 08018 - Barcelona Espanya |
|---|---|
| Email address: | info@il3.ub.edu |
| Webpage: | http://www.il3.ub.edu |
| Telephone: | 93 403 96 96 |
| Observations: | Online learning. |
For further enquiries
| Address: | Institut de Formació Contínua - UB C/ Ciutat de Granada, 131 08018 - Barcelona Espanya |
|---|---|
| Email address: | info@il3.ub.edu |
| Webpage: | http://www.il3.ub.edu |
| Telephone: | 93 309 36 54 |
| Observations: | Monday to Friday, from 9 a.m. to 7 p.m. |