MSc Dissertation Project
This course provides students with the opportunity to complete an MSc dissertation project addressing a substantial, real-world problem. The project can cover a wide spectrum of topics taught in the programme: from ethical and philosophical issues surrounding AI and data science to applied machine learning to developing a software artefact (e.g., a software library). All projects, however, must have an element of data, AI, software, and a “human face”, building upon the variety of material being taught during the programme.
The project may also be interdisciplinary in nature, for example, solving a problem in digital humanities or computational social sciences using data analytics and machine learning. Such interdisciplinary projects get assigned two supervisors: (i) an expert from the humanities discipline who will guide students to solve a non-trivial problem; and (ii) an expert in computer or data science who will guide students to develop a non-trivial solution.
After an initial group seminar with the course leader, students meet with their assigned supervisor(s) to finalise the subject of their project and discuss and refine its requirements.
Once the dissertation has been submitted, students defend it in a 30-minute presentation and demonstration.