MSc Cognitive Science
Graduate Taught (level 9 nfq, credits 90)
Students study topics in a very wide variety of professional disciplines. The breadth of topics covered is challenging, but encourages students to think beyond the narrow confines of a single speciality. The research project is structured to allow greater depth in the pursuit of a single topic, and results in professionally meaningful deliverables. Lecturers are highly qualified, research active cognitive scientists with a range of specialities.
- Unique taught offering providing advanced material in psychology, philosophy of mind, computational modeling, neuropsychology, and more
- Ideal preparation for future PhD studies tackling interdisciplinary topics
- Includes a substantial research project, conducted largely during the Summer months
Who should apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. No
Anyone interested in issues relating to the understanding of the human mind from philosophical, psychological, and computational perspectives would be well suited to this degree. A solid background in one contributing discipline is required.
Vision and Values Statement
This programme assumes the incoming student has a particular specialisation in one or more fields. To this initial specialisation, the programme seeks to add interdisciplinary breadth, providing insights and concepts from many different fields. This sensitivity to interdisciplinary concerns is suitable as preparation for critical engagement with research at a postgraduate level. It is thus intended to be an ideal preparation for those who wish to progress to PhD studies or to a career in research. It will also suit those who harbour a personal interest in critical approaches to human experience and behaviour. It is not a vocational programme, in that it is not tailored for any specific employment target.
(ii) Education and subject description, professional values
We encourage students to adopt rich, pluralist views of the topics covered, which combine insights and expertise from several disciplines, including philosophy, computer science, psychology and more.
(iii) Learning outcomes
Taught modules cover a broad range of disciplines, which will challenge and encourage students to develop critical skills that transcend discipline boundaries.
(iv) Approaches to teaching learning and assessment
Students will thus encounter many different ways of understanding and investigating focussed topics, and will be encouraged to learn to synthesise and integrate insights form disparate fields. Because of the breadth of subject matter, students will encounter evaluation in many forms, including continuous assessment by exercises, essays, reports, portfolio assembly, and end of module examination.