Objectives and competences
This course is an innovative, pioneering and priority master's degree that trains students to draw psychologically significant conclusions based on given data. It aims to increase interdisciplinary exchanges between behavioural and psychological professionals and professionals in data intelligence, machine learning or computational modelling, given that huge amounts of data are currently being generated and conclusions are being drawn in all fields without considering the psychological factors at play.
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 |
| Start of teaching period: | 04/11/2024 |
| End of teaching period: | 14/11/2025 |
| 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.
Academic requirements:
- English level B2 (some required readings and videos are in English).
- A basic knowledge of descriptive and inferential statistics is mandatory (at the university introductory course level).
- Previous knowledge of a programming language (such as C++, Java, Python or SQL) is recommended.
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: | 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. |