Aim: Module 4 aims at providing the student with an opportunity to apply a set of data science methods – a combination of techniques covered in M1-3 as well as other relevant analytical approaches – to an existing empirical problem in an area, which is relevant to the student’s field of study.
Empirical semester project on a programme-relevant theme in collaboration with an external organisation (external partner collaboration is not required but highly recommended, and supported). The project departs from a real-life empirical problem and uses a suitable combination of methods covered throughout the semester (M1-3 and other relevant techniques) to address it. If possible, the analysis is based on real data provided by the collaborating institution, possibly combined with other sources.
In this module, students will – in part independently and partly under supervision – write an empirical semester project (in the optimal case) in collaboration with an external organisation. The length of the project report depends on the group size (maximum of 4 students), with a maximum of 25 normal pages (2400 characters incl. spaces, which equals to approx. 360 words) per student, including references, but excluding appendices.
After completion of the module, students are able to define an appropriate problem formulation within their line of study, identify a sophisticated data collection and analysis strategy, carry out the analysis and present their results using state-of-the-art data science approaches, as well as critically self-evaluate their findings. They can select the most suitable among the wide range of methods presented in the modules M1-3, and autonomously apply it to their specific problem.
Students will have a main supervisor from their respective master programme, and complementary methods support by the Social Data Science teachers.
|Name of exam||M4: Applied Social Data Science Capstone Project|
|Type of exam|
Oral exam based on a projectGroup examination with max. 6 students. The student may also choose to write the project alone.
|Assessment||7-point grading scale|
|Type of grading||External examination|
|Criteria of assessment||The criteria of assessment are stated in the Examination Policies and Procedures|
|Danish title||M4: Applied Social Data Science Capstone Project|
|Language of instruction||English|
|Location of the lecture||Campus Aalborg|
|Responsible for the module|
|Study Board||Study Board of Economics|
|Department||AAU Business School|
|Faculty||The Faculty of Social Sciences|