Do you want to study what allows humans to process language? Do you want to build AI systems that are safe to use and put the user first? Do you want to model how the brain processes information, and help disabled people move and talk? Then the Master's degree programme in Computational Cognitive Science (CCS) is for you!
This programme goes beyond abstract theories by creating
explicit systems to test and compare different theories, and build
new systems that are good for people.
You will run simulations of the human mind down to the neural
level, analyse neuroimaging data such as EEG and fMRI, and even
visualise what people are thinking about by using machine learning.
All this helps us learn more about how our minds actually work and
enables us to create new products, safer workplaces, and better
education.
The Master’s programme in Computational Cognitive Science is
made up of three core topics, reflected in three specializations:
Human-Centred AI, Human Language Modelling and Cognitive Modelling
and the Brain. Students can also choose courses from the
university’s AI Master’s programme to further augment
their skills with engineering knowledge and become capable
researchers and AI system developers. Students are also encouraged
to bring ideas and skills from other fields to the programme.
Human-Centred AI
This specialization focuses on the unique challenges faced when
designing systems for human users. It puts the human cognitive
system front and centre: it integrates models of human cognition in
AI-based tools, and applies cognitive principles to design systems
that are easy to use and understand. A prime example is Memorylab – one of our
collaboration partners – in which a cognitive model of human
memory is used to improve fact learning. Focus is placed on
practical applications, with the goal of preparing students for
careers in industry or research.
Human Language Modelling
This specialization focuses on two topics related to language: 1)
understanding and investigating human language processing and
communication using cognitive modeling, experimental studies, and
language technology; and 2) using this knowledge and technology in
applied settings.
Cognitive Modelling and the Brain
This specialization teaches students how the human cognitive system
can be modeled at different levels of abstraction, and how this
knowledge can be applied. In the introductory course Cognitive
Modeling, students learn general modeling skills at a
high-level of abstraction, while in Cognitive Neural
Networks cognition is modeled at the neural level. In
Computational Cognitive Neuroscience students learn how to
analyze the brain using AI techniques; in Non-Invasive BCI
they combine models of the brain with AI techniques to develop
online Brain Computer Interfaces.
