No courses in other tracks strictly depend on courses in the Cognitive Neuroscience track, but its brain-centered perspective nicely complements many other tracks and courses. Students with main interests in other fields of Science, as well as many students in the Humanities and Social Sciences, appreciate the level 1 course, UCSCICOG11, which provides an introduction to many concepts in the field.
Conversely, if Cognitive Neuroscience itself is a main interest of yours, there are no courses in this track that depend on other courses or tracks, although knowledge of high-school level Biology is recommended. However, it is important to realise that the field of Cognitive Neuroscience is very broad, including examples as diverse as research into neuronal mechanisms of memory formation, clinical work with patients suffering from brain damage, research on brain degenerative diseases, and the development of brain-computer interfaces. The Cognitive Neuroscience track only covers core aspects that are common to these specialisations, but not the expertise or skills that are specific to them. Students who are considering a career in (Cognitive) Neuroscience should therefore note that the track is not sufficient as a basis for all further career paths in the field, and they should prepare for future specialisation by carefully selecting appropriate courses from other tracks.
Students interested in neurobiology should consider courses in the Biology track, e.g. those focusing on animal and human physiology (UCSCIBIO13, UCSCIBIO23, UCSCIBIO33), and/or on molecular biology (UCSCIBIO11, UCSCIBIO21). Interested in the evolution of brain and cognition? Have a look at Evolution, Culture and Human Nature (UCINTEVO31).
Students interested in computational neuroscience, computational cognition, and artificial intelligence are advised to look into Calculus and Linear Algebra (UCMAT11) and Mathematical Modeling: Networks (UCMAT22).
Students interested in the development of brain-computer interfaces, neuroimaging technology or electrophysiology should, in addition to ‘computational courses’, consider Classical Electrodynamics (UCSCIPHY21).
Students with a focus on psychology and human behavior should take courses offered in the Psychology track, e.g. Introduction to Psychology (UCSSCPSY11), Clinical Psychology (UCSSCPSY23), Developmental Psychology (UCSSCPSY22), Health Psychology (UCSSCPSY37), or Crime and Context: the Origins of Crime and Violence (UCSSCPSY34).
Students interested in medical research or clinical work should look at courses in Medical Science, e.g. Mechanisms of Diseases (UCSCIMED21) and Pharmacology (UCSCIMED32).
Students interested in questions of the mind should consider courses in Philosophy, e.g. Introduction to Philosophy (UCHUMPHI11) or Philosophical Views on Humans and Gods (UCHUMPHI25).
Students interested in neuroscience of language should take courses in Linguistics, e.g. Introduction to Linguistics: Language and Mind (UCHUMLIN11), Language and Acquisition: Modern Linguistics (UCHUMLIN31), or Psycholinguistics (UCHUMLIN22).
In general, you will benefit a lot from expertise in data analysis and statistics, and should consider specific courses to acquire it, e.g. Research in Practice: Methods and Statistics for the Social Scientist (UCACCMET12), Applied Multivariate Statistics (UCACCMET23), Analysis of Time Series Data (UCACCMET2C), or Computational Physics (UCSCIMATL2).
NB: The above are just suggestions. Other combinations can work depending on specific interests.