This module aims at providing the student with an opportunity to apply a set of data science methods – a combination of techniques covered in the previous modules as well as other relevant analytical approaches – to a well defined problem.
The project departs from a real-life empirical problem and uses a suitable combination of methods and frameworks covered throughout the semester. If possible, the analysis is based on real data provided by a collaborating institution, possibly combined with other sources.
After completion of the module, students are able to define an appropriate problem formulation within social data science, 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 previous modules autonomously apply it to their specific problem.
The objective is that the student after the module possesses the necessary knowledge on:
The objective is that the student after the module possesses the necessary skills in:
The objective is that the student after the module possesses the necessary competences in:
For information see § 17.
|Name of exam||Social Data Science Semester Project|
|Type of exam|
Oral exam based on a projectGroup examination with max. 4 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||Social Data Science semesterprojekt|
|Language of instruction||English|
|Location of the lecture||Campus Aalborg|
|Responsible for the module|
|Study Board||Study Board of Economics and Business Administration|
|Department||AAU Business School|
|Faculty||Faculty of Social Sciences and Humanities|