Hello Everyone! I'm currently in the final year of my Bachelor of Science, and I'm interested in pursuing graduate studies in theoretical/computational neuroscience. Unfortunately, I don't feel prepared for graduate level study/research in this discipline. Therefore, I'm contemplating taking an additional year, or two, of undergraduate studies to develop more foundational knowledge and skills. With that in mind, I could really use some outside insight into what courses I should be taking, textbooks I should be reading, or MITOCW courses I should be learning on my own. So, to make giving advice easier, I will start by stating my current degree is unconventional. It's highly interdisciplinary and doesn't fit nicely under the umbrella of any major. However, I think a quick list of my senior-level courses will give a general idea of what I know: Psychopharmacology & Advanced Pharmacology Advanced Neuroscience, Neuropsychology I & II, Evolutionary Psychology, & Psychopathology Thermodynamics, Quantum Mechanics, & Electromagnetism Molecular Physiology I & II, Histology, & Molecular Genetics Point-Set Topology & Analysis (Calculus I-IV) Organic Synthesis & Drug Design My biggest concern is that despite taking a lot of courses in a variety of disciplines, I find it incredibly difficult to integrate ideas. I'm made especially aware of this when I read articles from Frontiers in Computational Neuroscience or Neuroinformatics. I'm thinking that it'd be to my benefit to take some advanced computer science courses, and more 'applied' mathematics. But, I'm open to suggestions. Thank you for reading!