Science Research Project: Data Science
Full course description
In the Data Science Research Project students will form a small research team and join an ongoing research project in the Institute of Data Science. The project will be driven by a research question to provide a solution to a domain-specific problem, which requires the application of Data Science methods. Your tasks will include all aspects of empirical research from the formulation of the research question, choosing and implementation of the right methodology, performing experiments, interpreting and analyzing results along with the scientific reporting of those results.
We encourage you to look at the institutes website to get an idea of ongoing research: https://www.maastrichtuniversity.nl/research/institute-data-science. A detailed description of the research project will be provided in due time. We ask all students with a definite interest in joining this Research Project to contact the coordinator via email (email@example.com). In this email you should provide a short explanation as to how participating in this project adds to your curriculum. In addition, we request you to include an overview of the relevant courses you did. The coordinator and supervisors reserve the right to deny a student access to the project, should the student not meet the prerequisites. If this happens, the student will be allowed to register for another project.
- To provide students the opportunity to learn and apply knowledge about Data Science in the context of a team-based research project.
- To provide students first-hand experience of full-time academic research, by fully involving the team in an ongoing research project along with data science researchers.
Courses that are appropriate for the project that you choose, which will be specified in the project description. Generally, it is assumed that students have taken one or more courses related to data science (such as SCI2011 Introduction to Programming, SCI2033 Datamining, SCI2036 Artificial Intelligence, SCI2039 Computer Science, SCI3051 Data Analytics).
Note: This is a time-consuming, full-time project with a high workload. In principle, students should take into account that they need to be available during entire weekdays throughout the project.
- There is no general literature or course book that students need to buy or possess. Students will choose, read, and use literature that is specifically related to their topic.