For Students of Academic Year 2023/24
IMPORTANT: Please note that from September 2021, our program for incoming and continuing Cognitive Science PhD students will move to Vienna, however some research activities remain in Budapest.
1st yr students: 30 credits (60 ECTS) to be collected during the academic year (16 for courses, 6 for JC + Colloquia 8 for PhD thesis proposal.)
2nd, 3rd and 4th yr students: 30 (60 ECTS) credits to be collected during the academic year (6 for JC + Colloquia, 2 for workshop presentation, 2 per conference participation, 18 for PhD Progress Report)
****NEW REGISTRATION SYSTEM CALLED SITS is available here***
Fall Term Schedule 2023/24 as at 30 August 2023
Curriculum
The main goal of the coureses in our PhD program is to ensure that the students master the basic notions and theories in cognitive science and can do cutting-edge doctoral research in one area of expertise of program, such as social cognitive sciences and the study of social cognition. The PhD program will provide basic training (taught courses) on at least the following topics:
- Cognitive psychology
- Research methods in cognitive science
- Social cognition
The credit requirements to be fulfilled during the three-year Cognitive Science PhD program are such that the course work is concentrated during the first year, while most of the requirements are research focused.
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Courses and Syllabi
Fall Term (2023/24) - credit requirements: 8 for 1st yr students
Core Course (Mandatory):
- Topics in Cognitive Science - Günther Knoblich (2 credits for Grade) - offered for crosslist to PHIL
Research Courses: [4 credits to be elected for 1st yr students]
- Infant Cognition - Gergely Csibra, Erno Teglas (2 credits for Grade)
- Visual Cognition - József Fiser (2 credits for Grade)
- Joint Action and Communication - Natalie Sebanz, Günther Knoblich, Eva Wittenberg (2 credits for Grade) - offered for crosslist to PHIL
Elective Courses: [2 credits to be elected by 1st year students]
- Folk Teleology - Gergely Csibra (2 credits for Grade) - offered for Crosslist to Phil
- Practical programming for Cognitive Scientists – Jonathan Kominsky (2 credits for Grade)
- Perception – Hanoch Ben-Yami (4 credits for Grade), offered by Phil for crosslist*
* Philosophy Fall term schedule can be found here
Mandatory to attend for Pass/Fail (for all 1st, 2nd 3rd and 4th yr students):
- CDC Seminar/Department Colloquium - (1 credit for Pass/Fail)
- Journal Club/Research Club - (1 credit for Pass/Fail)
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Winter Term (2023/24) - credit requirements: 8 for 1st yr students
Core Course (Mandatory):
Elective Courses: [4 credits to be elected for 1st yr students]
- Academic writing – Natalie Sebanz, Eva Wittenberg (2 credits for Grade)
- The Cognitive Science of Ignorance – Jonathan Kominsky (2 credits for Grade) – crosslisted with PHIL and POLS
- Bayesian Data Analysis I – Jozsef Fiser (2 credits for Grade) offered for crosslist to NDS
- The Origin of Abstract Combinatorial Thought – Agnes M. Kovacs, Erno Teglas (2 credits for Grade) - offered for crosslist to PHIL
- How Minds make Societies: An Evolutionary Psychology Approach - György Gergely (2 credits for Grade) – crosslisted with PHIL, POLS, DSPS, SOCL, CHSP
- Metaphysics of Mind – Tim Crane (4 credits for Grade) offered by Phil for crosslist˙*
Mandatory to attend for Pass/Fail (for all 1st 2nd 3rd and 4th yr students):
- CDC Seminar/Department Colloquium- (1 credit for Pass/Fail)
- Journal Club/Research Club - (1 credit for Pass/Fail)
- One Individual Study Course with the Supervisor, 4 credits, graded (mandatory for all 1st yr students)
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Spring Term (2023/24)
- Research Proposal Development (8 credits for Pass/Fail - for 1st year students)
- Comprehensive exam (0 credits for Pass/Fail - for 1st year students)
- PhD Progress Report and Chapter (18 credits for Pass/Fail- for 2nd and 3rd yr students)
- Conference presentation (2 credits for Pass/Fail - for 2nd and 3rd yr students)
- CDC Seminar/Department Colloquium - (1 credit for Pass/Fail - for all 1st, 2nd 3rd and 4th yr students)
- Journal Club/Research Club - (1 credit for Pass/Fail - for all 1st, 2nd 3rd and 4th yr students)
Detailed course descriptions are available at Courses.
Departmental Essay Marking Scheme is available here.
More information on credits and CEU Grading System available at Student Records Office.
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Exam Schedules
Statistics exam: 2024. April 2, Tuesday, 10.00 AM. Room C503.
Comprehensive Exam for 1st yr students: 2024. June 4, Tuesday, 10.00 AM. Room B421.
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