Pablo de Pedraza, University of Amsterdam (UVA)
Mature proposal corresponding to concrete call
(C) Partners needed
We would like to partner with Institutions willing to:
- host students during their internship
- act as external evaluators of the program
- contribute to long term sustainability of the Master
1.Generate experts on webdatametrics who are able to assimilate the state of the art from a multidisciplinary perspective and under the framework of a solid theoretical background and experience in applying that theoretical knowledge.
2.Generate experts on webdatametrics who have transferable skills: the ability to use knowledge in a changing global society.
3.These objectives will be reached by providing students with the opportunity to specialize in a specific discipline within the topic of webdatametrics: either survey research, non-survey research (non-reactive data collection, online qualitative research), analysis of online data or webdata management.
4.Developing students’ expertise in a field of application of webdatemetrics (such as sociology, economics, psychology, linguistics, cultural, media and marketing research, but also health studies, law, product evaluations among others).
5.Giving students the expertise to transfer webdata skills to specialize across application fields.
6.Allowing students to identify frontiers of knowledge on the topic and extend those frontiers through their Master ́s research and thesis.
7.Encouraging students’ creative thinking and innovation.
8.Offering students the opportunity of a training period which will help ease their access to the labour market.
The post-graduate course has 120 ECTS credits and duration of two years (four semesters). Semester 1 and 2 are dedicated to core courses, semester 3 for elective courses and in semester 4, the student must complete an internship period in one of our partner institutions and write and defend the master’s dissertation thesis.
Master courses are divided in 3 itineraries that cover the main areas of the webdata collection and analysis field:
a) Webdata management and analysis
b) Online survey research
c) Non-reactive data and internet based experimenting and testing