In the third term, students do their final project and write a dissertation. We run three different types of projects in MISCADA:
- Research-led projects in the respective specialisation areas.
- Research-led projects in the methodological core disciplines, i.e. in statistics and machine learning or computer science.
- Projects in collaboration with industry partners (typically in R&D), with joint academic and industry supervision.
Examples for successful projects and other activities can be found under the rubric success stories.
The workflow how projects are managed changes slightly from year to year, but in principle it follows the following steps:
- We launch a call for projects early in term 2. That is, academics put their project proposals into a database.
- If an industry partner proposed a project, we analyse this project (does it meet our standards), pair the industry partner up with one academic, and then put it into a database. Industry projects thus always have one designated academic supervisor.
- Students can also propose projects themselves, too. In this case, we again show them around to the other academics. If the project meets our standards, then an academic who is interested in the student’s proposal puts the project into the database and serves as superviser for this project.
- Students select up to projects from the database with their preferences (unless they have proposed something themselves).
- We pair up academic supervisors and students – trying to meet the students’ preferences.