Dynamical Neuroscience Graduate Degree Program

Description

The Interdepartmental Graduate Program in Dynamical Neuroscience utilizes computational methods to understand brain-mind interactions across all levels of architecture, from single neurons to complex networks, with a focus on the roles of these levels in an organism’s behavior. Because of the intrinsic interdisciplinary nature of modern neuroscience and the field’s urgent need for cross-disciplinary, graduate-level training, this program brings together faculty located in seven departments on campus. Students conduct research in areas such as cognitive psychology, neuroimaging, biology, physics, computer science and engineering.

General Information

Website http://www.dyns.ucsb.edu/
Address Interdepartmental Graduate Program in Dynamical Neuroscience
University of California, Santa Barbara
Psychology East, Building 251, Room 1814
Santa Barbara, CA 93106-9661
(USA)
Phone (805) 893-3636
Email gradinfo@dyns.ucsb.edu
Degrees Offered PhD
Requirements
  • Online application: https://www.graddiv.ucsb.edu/eapp
  • Statement of Purpose, Personal Achievements/Contributions, and Resume or CV (submitted in the online application)
  • Three Letters of Recommendation (submitted online)
  • Official transcripts from all post-secondary institutions attended (submitted online)
  • Recommended: Unofficial transcripts from all post-secondary institutions attended, uploaded as a single PDF document in the online application.
  • GRE General test scores
  • TOEFL scores 550 Paper-Based Test (PBT), 80 Internet-Based Test (IBT) or IELTS (International English Language Testing System) Overall Band score of 7 or higher (if applicable)
  • Final/Official transcripts will be required for all applicants who are admitted and have indicated their intent to enroll at UC Santa Barbara by submitting a Statement of Intent to Register (SIR). UC Santa Barbara reserves the right to require official transcripts at any time during the admissions process, and rescind any offer of admission made if discrepancies between uploaded and official transcript(s) are found.
Deadlines Fall Only – January 5, 2018 (by 11:59 PM PST)
Emphases Neuroengineering
Specializations Complex Neural Networks; Computational Vision; Signal Processing & Machine Learning; Computational Cognitive Neuroscience; Brain-Computer Interface; Computational Neuroscience
      • Address
        • Interdepartmental Graduate Program in Dynamical Neuroscience
          University of California, Santa Barbara
          Psychology East, Building 251, Room 1814 Santa Barbara, CA 93106-9661
          (USA)
      • Phone
        • (805) 893-3636
      • Degrees Offered
        • PhD
      • Requirements
          • Online application: https://www.graddiv.ucsb.edu/eapp
          • Statement of Purpose, Personal Achievements/Contributions, and Resume or CV (submitted in the online application)
          • Three Letters of Recommendation (submitted online)
          • Official transcripts from all post-secondary institutions attended (submitted online)
          • Recommended: Unofficial transcripts from all post-secondary institutions attended, uploaded as a single PDF document in the online application.
          • GRE General test scores
          • TOEFL scores 550 Paper-Based Test (PBT), 80 Internet-Based Test (IBT) or IELTS (International English Language Testing System) Overall Band score of 7 or higher (if applicable)
          • Final/Official transcripts will be required for all applicants who are admitted and have indicated their intent to enroll at UC Santa Barbara by submitting a Statement of Intent to Register (SIR). UC Santa Barbara reserves the right to require official transcripts at any time during the admissions process, and rescind any offer of admission made if discrepancies between uploaded and official transcript(s) are found.
      • Pre-Application
        • No Pre-Application Necessary
      • Deadlines
        • Fall Only – January 5, 2018 (by 11:59 PM PST)
      • Emphases
        • Neuroengineering
      • Specializations
          Complex Neural Networks; Computational Vision; Signal Processing & Machine Learning; Computational Cognitive Neuroscience; Brain-Computer Interface; Computational Neuroscience