Curriculum and Schedules

For Students of Academic Year 2024/25

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.

Credit requiremements (see Departmental Doctoral Regulations) :

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 each academic year (6 for JC + Colloquia each year, 2 for workshop presentation each year, 12 for PhD Progress Report (each year), 2 for conference participation (two times only), 2 for Teaching Assistantship (one time), 24 for dissertation (one time).)

****NEW REGISTRATION SYSTEM CALLED SITS is available here***

Fall Term Schedule 2024/25 as of 16 September 2024

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.

______________________________

Courses and Syllabi

Fall Term (2024/25) - credit requirements: 10 for 1st yr students

Core Course (Mandatory):

Research Courses: [4 credits to be elected by 1st yr students]

Elective Courses: [2 credits to be elected by 1st year students]

* 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)

________________________________

Winter Term (2024/25) - credit requirements: 10 for 1st yr students

Core Course (Mandatory):

  • Statistics for Experimental Research - József Fiser (2 credits for Grade)

Elective Courses: [2 credits to be elected by 1st yr students]

  • Academic writing – Eva Wittenberg (2 credits for Grade)
  • 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
  • Advanced Issues on Human Nature II. – Maria Kronfeldner (2 credits for Grade), PHIL offers 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)

________________________________

Spring Term (2024/25)

  • 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 Dissertation Chapter (12 credits for Pass/Fail- for 2nd 3rd and 4th yr students)
  • Research Progress Workshop presentation (2 credits for Pass/Fail - for 2nd 3rd and 4th yr students)
  • Conference presentation (2 credits for Pass/Fail - for 2nd and 3rd yr students)
  • Teaching assistantship (2 credits for Pass/Fail - once for 2nd or 3rd yr students)
  • Dissertation (24 credits for Pass/Fail - for 4th yr students)

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)

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.

_________________________________________

Exam Schedules

Statistics exam: 2025. April 1, Tuesday, 12 am. Room C503. 

Comprehensive Exam for 1st yr students: 2025. June 2, Monday, 10 am. Room D002.

_________________________________________

Student Records Manual