PhD in Neuroscience (Program in Neuroscience)

The Graduate School of Arts & Sciences (GRS) no longer admits students to the PhD offered by the Program in Neuroscience (PIN). Students are now admitted into the Graduate Program for Neuroscience (GPN), a university-wide effort administered by the Division of Graduate Medical Sciences (GMS). The following is provided as reference only for continuing GRS Neuroscience PhD students in PIN.

The goal for the majority of students will be to complete the requirements for elective study and the prescribed milestones for moving toward submission of the written thesis and the oral defense. This includes successful completion of the qualifying exam and biannual meetings of the dissertation advisory committee (DAC). Oversight of PIN students is now being conducted by the Graduate Education Committee of GPN. Please contact the GPN office for further information or guidelines.

Post-Bachelor’s PhD in Neuroscience (GPN)

For the post-bachelor’s PhD degree, a total of 64 course credits is required. Of these, at least 32 of the credits must come from lecture, methods, or seminar courses.

Post-Master’s PhD in Neuroscience (GPN)

For the post-master’s PhD, 32 credits of coursework are required. The required courses are the same as for the post-bachelor’s PhD. However, depending on the student’s background, one or more of the required courses may be waived via petition to the BU Graduate Program for Neuroscience Graduate Education Committee (GEC).

Core Courses

An essential feature of the program is a set of core courses: these are taken by all students in GPN during their first year and are aimed at developing a community of thinkers who move through the training program together, building relationships that cross departmental and campus barriers, and foster cross-disciplinary collaborations.

Students complete 10 credits of core neuroscience coursework that provides a strong foundation in this diverse field of graduate study. There are two team-taught lecture/discussion courses that are given sequentially over the first year. Each course has two directors, each from a different campus. Courses are crosslisted to represent the co-sponsorship of departments from both campuses (Charles River Campus and Medical Campus). GPN students register in the following:

  • GRS BI 755  Cellular and Systems Neuroscience or GMS AN 810 Systems Neurobiology (4 cr)
  • GRS BI 756/GRS PS 738  Systems and Behavioral Neuroscience or GMS AN 811 Cognitive Neuroscience (4 cr)

Additional core neuroscience requirements (2 cr) include: a 7-week intensive introductory course in data analysis and mathematical models for students who do not have a strong background in computation. This introductory course combines lectures and hands-on computer time to treat real laboratory data like case studies and motivates students to use the mathematical approach as a means to better understand their own research via statistical data analysis and modeling.

  • GRS MA 665  Introduction to Mathematical Models and Data Analysis in Neuroscience (2 cr)

Students pursuing the PhD in Computational Neuroscience (or who have taken an undergraduate course in the area) can substitute a more advanced elective for this requirement. Likewise, students who have taken the required course and would like more exposure to the area can continue on in the class to take the next module that is offered sequentially (4 cr instead of 2 cr).

Additional Required Curriculum

In addition to the core curriculum, students take the following seminar coursework during their first year and enroll in laboratory rotations:

  • GRS NE 500/501  Frontiers of Neuroscience (2 cr per semester)

All students attend a unique class on Friday afternoons that is managed by the director or associate director of GPN. During the first semester, students are assigned key papers from a particular BU faculty member’s laboratory and supporting manuscripts in the field. During the session, student presenters review and critique experimental findings and approaches, building their skills in critical thinking and developing the basic tools for successful oral presentations. They also get to share their scientific ideas and interests with the leaders of neuroscience at Boston University, an activity that enriches the neuroscience community by building new relationships between faculty and students. Research from monthly GPN distinguished lecturers from across the world are integrated into the training experience to provide a balanced exposure for students to all areas of neuroscience and to give them firsthand interactions with exceptional individuals who are defining the field of the future. During the second semester, students focus on the development of professional skills, such as advanced techiniques in oral presentations and the beginnings of scientific writing.

Laboratory Rotations

Providing an enriching set of laboratory research experiences directed by GPN faculty for students during their first year is a central feature of the graduate training program at Boston University. The multitude of highly talented mentors who have funded research projects provides the student with a large number of potential laboratories from which to choose their thesis research mentor that will complement their current interests, and through laboratory rotations, expand their horizons into different areas of investigation that they may grow toward in the future.

The majority of students pursuing the PhD in Neuroscience take three to four rotations, with at least one rotation in an area outside of their initial research interests; students pursuing the PhD in Computational Neuroscience take a minimum of two rotations, with at least one in an experimental laboratory. Students can also engage in additional rotations should they not find a mentor, or if they would like more exposure to other methodologies used in neuroscience. Credit for rotations is contingent upon receipt of a short (5-page) laboratory report for each experience that is reviewed by the rotation mentor.

Directed Study/Thesis

Additional program credits come from directed study during thesis research to make up the 64-credit PhD requirement. Students are also encouraged to take an additional course in probability and statistics that is appropriate to their area of thesis research and take required workshops in neuroscience ethics and responsible conduct of research. Students also attend the required bimonthly student seminar series, a graduate student forum where they can work on improving their oral communication skills throughout their graduate career in GPN. Finally, to be in good standing in the program, they must attend all GPN distinguished lectures and program events, workshops in professional development, and participate in at least one teaching or outreach activity. Optional paid teaching fellowships are available to students that want greater experience in the educational mission.

Students can also substitute additional coursework for directed study to make up the credit requirement for the degree, especially as needed based upon their choice of thesis research or to supplement a lack of certain background during undergraduate study.

Hands-On Laboratory Experience

During the summer before their first year of study, incoming students participate in the Tools of the Trade laboratory experience that is run by GPN faculty to provide students with the essential hands-on experience necessary to make their laboratory rotations in the fall meaningful for their graduate-level training. In Tools of the Trade, students learn some of the basic techniques necessary for conducting laboratory research in the field of neuroscience, independent of their current research interests.

Group activities might be organized around detection of an important neuronal RNA via real-time PCR, the identification of a single nucleotide polymorphism in a DNA sample from a patient with a neurodegenerative disease, identification of protein in brain slices using immunohistochemistry and fluorescence microscopy, electrophysiological measurements or calcium imaging of living neurons, interaction of transcription factors with DNA regulatory elements that control expression of neural-specific genes, neuroimaging of the brain to detect the activation of particular brain structures, and running of a behavioral task with animals to address questions of addiction or learning and memory. Projects vary with the expertise and interests of the participating GPN faculty. Tools of the Trade is coordinated with the university-wide Neuroscience Retreat.

Elective Study

The rest of the formal credits toward the PhD in Neuroscience come from a minimum of 12 credits of elective study that includes at least one course with clinical relevancy. For example, students with a background in molecular neuroscience (or equivalent biochemical/biological study) can take the following electives:

  • GMS MS 783   Molecular Basis of Neurological Disease (2 cr)
  • GMS PM 701   Molecular Neurobiology and Pharmacology (2 cr)

These advanced courses provide the focus for an understanding of how endogenous substances act in the brain, the challenges faced in the development of effective therapies that target the nervous system, and what molecules can tell us about disease etiology and the potential for future treatment.

Taking advantage of the translational research and history of clinical training at the Medical Campus, all students are required to participate in clinical rounds that are offered through the Boston VA hospital as well as the Alzheimer’s Disease Center. Options for clinically relevant courses specific to students with interests outside of molecular neuroscience cover topics ranging from neuropsychology to human imaging and neural engineering, as well as the rehabilitative sciences offered at BU’s College of Health & Rehabilitation Sciences: Sargent College.

Please see specific details for the PhD in Computational Neuroscience on the website as there is additional required coursework for this degree specialization.

Suggestions for elective study are provided by faculty curriculum committees in sub-disciplines of neuroscience as a means to help guide students toward reaching their scholastic goals.

Current Options for Elective Study

As a member of GPN, students will acquire their more advanced training from coursework offered in departments around the University in order to fulfill the credit requirements for the PhD degree. The following is a list of potential electives organized by topic area as a guide to help students choose their curriculum and to give them flexibility in the design of coursework that spans more than one area of interest. Suggestions on foundation coursework specific to a research area are updated by faculty curriculum committees and can be obtained by emailing neurosci@bu.edu.

Relevant to Molecular, Cellular & Systems (see also Computational)


*Medical Campus

  • CAS BI 520 Sensory Neurobiology (4 cr)
  • CAS BI 545 Neurobiology of Motivated Behavior  (4 cr)
  • CAS BI 599 Neurobiology of Synapses (4 cr)
  • CAS PS 530 Neural Models of Memory Function  (4 cr)
  • GMS AN 702 *Neurobiology of Learning and Memory (2 cr)
  • GMS AN 709 *Neural Development and Plasticity (2 cr)
  • GMS AN 804 *Methods in Neuroscience (4 cr)
  • GMS AN 807 *Neurobiology of the Visual System (2 cr)
  • GMS BN 798 *Functional Neuroanatomy in Neuropsychology (4 cr)
  • GRS BI 644 Neuroethology (4 cr)
  • GRS BI 645 Cellular and Molecular Neurophysiology (4 cr)
  • GRS BI 655 Developmental Neurobiology (4 cr)
  • GRS BI 681 Molecular Biology of the Neuron (4 cr)
  • SAR HS 550 Neural Systems (4 cr)
  • SAR HS 755 Readings in Neuroscience (4 cr)

Relevant to Biomedical & Translational

  • CAS BI 554 Neuroendocrinology (4 cr)
  • GMS AN 808 *Neuroanatomical Basis of Neurological Disorders (2 cr)
  • GMS AN 707 *Neurobiology of Aging (2 cr)
  • GMS AN 713  *Autism: Clinical and Neuroscience Perspectives (2 cr)
  • GMS AN 804 *Methods in Neuroscience (4 cr)
  • GMS AN 808 *Neuroanatomical Basis of Neurological Disorders (2 cr)
  • GMS PM 801 *Systems Pharmacology and Experimental Therapeutics (2 cr)
  • GMS PM 802 *Systems Pharmacology and Experimental Therapeutics (2 cr)
  • GMS PM 881 *Drug Discovery and Development (2 cr)
  • GMS PM 843 *Pharmacologic Intervention in Inflammatory Responses (2 cr)
  • GMS PM 820 *Behavioral Pharmacology (2 cr)
  • GMS PM 840 *Neuroendocrine Pharmacology (2 cr)
  • GMS PM 850 *Biochemical Neuropharmacology (2 cr)
  • GMS IM 690  *Imaging of Neurologic Disease (2 cr)
  • GMS BN 782 *Forensic Neuropsychology (4 cr)
  • GMS BN 793 *Adult Communication Disorders (4 cr)
  • GMS BN 891 & 892 *Case Studies in Neuropsychology (three different clinical rounds, sections A1, B1, and C1) (2 credits each section)
  • GMS BN 893 *Child Clinical Neuropsychology (4 cr)
  • GMS BN 796 *Neuropsychological Assessment I (4 cr)
  • GMS BN 797 *Neuropsychological Assessment II (4 cr)
  • GMS BN 821 *Neuroimaging Seminar (2 cr)

Behavioral & Cognitive Neuroscience

  • CAS PS 520 Research Methods in Perception and Cognition (4 cr)
  • CAS PS 525 Cognitive Science (4 cr)
  • CAS PS 528 Human Brain Mapping (4 cr)
  • CAS PS 544 Developmental Neuropsychology (4 cr)
  • GRS PS 721 General Experimental (4 cr)
  • GRS PS 734 Psychopharmacology for the Behavioral Scientist (4 cr)
  • CAS PS 737 Memory Systems of the Brain (4 cr)
  • GRS PS 738 Techniques in Systems & Behavioral Neuroscience (4 cr)
  • CAS PS 821 Learning (4 cr)
  • GRS PS 822 Visual Perception (4 cr)
  • GRS PS 824 Cognitive Psychology (4 cr)
  • GRSPS 828 Seminar in Psycholinguistics (4 cr)
  • GRS PS 831 Seminar in Neuropsychology (4 cr)
  • GRS PS 835 Attention (4 cr)
  • ENG BE 715 Functional Neuroimaging (4 cr)
  • GMS BN 795 *Neuropsychology of Perception and Memory (4 cr)
  • GMS AN 716 *Developmental Cognitive Neuroscience (4 cr)
  • GRS PS 829 Principles in Neuropsychology (4 cr)

Theoretical & Computational Neuroscience

  • CAS CN 500 Computational Methods in Cognitive and Neural Systems (4 cr)
  • CAS CN 510 Principles and Methods of Cognitive and Neural Modeling I (4 cr)
  • CAS CN 520 Principles and Methods of Cognitive and Neural Modeling II (4 cr)
  • CAS CN 530 Neural and Computational Models of Vision (4 cr)
  • CAS CN 540 Neural and Computational Models of Adaptive Movement and Planning Control (4 cr)
  • CAS CN 550 Neural and Computational Models of Recognition, Memory, and Attention (4 cr)
  • CAS CN 560 (co-listed as BE 509) Neural and Computational Models of Speech and Hearing (4 cr)
  • CAS CN 570 Neural and Computational Models of Conditioning, Reinforcement, Motivation, and Rhythm (4 cr)
  • CAS CN 580 Introduction to Computational Neuroscience (4 cr)
  • GRS CN 700 Computational and Mathematical Methods in Neural Modeling (4 cr)
  • GRS CN 710 Advanced Topics in Neural Modeling: Comparative Analysis of Learning Systems (4 cr)
  • GRS CN 720 Neural and Computational Models of Planning and Temporal Structure in Behavior (4 cr)
  • GRS CN 730 Models of Visual Perception (4 cr)
  • GRS CN 740 Topics in Sensory Motor Control (4 cr)
  • GRS CN 760 Topics in Speech Perception and Recognition (4 cr)
  • GRS CN 780 Topics in Computational Neuroscience (4 cr)
  • GRS CS 640 Artificial Intelligence (4 cr)
  • ENG BE 509 (co-listed as CN 560) Quantitative Physiology of the Auditory System (4 cr)
  • ENG BE 570 Introduction to Computational Vision (4 cr)
  • ENG BE 701 Auditory Signal Processing: Peripheral (4 cr)
  • ENG BE 702 Auditory Signal Processing: Central (4 cr)
  • ENG BE 707 Quantitative Studies of Excitable Membranes (4 cr)
  • ENG BE 710 Neural Plasticity and Perceptual Learning (4 cr)

Coursework in Related Disciplines

  • CAS MA 565 Math Models in the Life Sciences (4 cr)
  • CAS MA 573 Qualitative Theory of Ordinary Differential Equations (4 cr)
  • CAS MA 581 Probability (4 cr)
  • CAS MA 582 Mathematical Statistics (4 cr)
  • CAS MA 583 Introduction to Stochastic Processes (4 cr)
  • CAS MA 584 Multivariate Statistical Analysis (4 cr)
  • CAS MA 585 Time Series and Forecasting (4 cr)
  • CAS MA 684 Applied Multiple Regression and Multivariable Method (4 cr)
  • ENG BE 515 Introduction to Medical Imaging (4 cr)
  • ENG BE 540 Bioelectrical Signals: Analysis and Interpretation (4 cr)
  • ENG BE 550 Bioelectromechanics (4 cr)
  • ENG BE 560 Biomolecular Architecture (4 cr)
  • ENG BE 740 Parameter Estimation and Systems Identification (4 cr)
  • ENG BE 747 Advanced Signals and Systems Analysis for Biomedical Engineering (4 cr)
  • CAS BI 552/553 Molecular Biology (4 cr, 4 cr)
  • GMS BI 782 *Molecular Biology (4 cr)
  • CAS BI 555 Techniques in Cell Biology (4 cr)
  • GRS BI 735 Advanced Cell Biology (4 cr)
  • GRS MB 721 Graduate Biochemistry (4 cr)
  • GRS MB 722 Advanced Biochemistry (4 cr)
  • GMS BL 755/756 *Biochemistry (4 cr, 4 cr)
  • GRS BI 621/622 Biochemistry (4 cr, 4 cr)
  • GMS BI 789 *Physical Biochemistry (2 cr)
  • CAS BI 556 Membrane Biochemistry and Cell Signaling (4 cr)
  • CAS BI 551 Biology of Stem Cells (4 cr)
  • ENG BE 561 DNA and Protein Sequence Analysis (4 cr)
  • ENG BE 700  Advanced Topics in Biomedical Engineering (4 cr)
  • GMS BI 776 *Gene Targeting in Transgenic Mice (2 cr)
  • GMS BI 786 *Biochemical Mechanisms of Aging (2 cr)
  • GMS BI 797 *Molecular Mechanisms of Growth and Development (2 cr)
  • GMS PM 832 *Pharmacogenomics (2 cr)
  • GMS PM 880 *Gene Regulation and Pharmacology (2 cr)
  • GMS MI 713 *Comprehensive Immunology (4 cr)
  • GMS MM 701 *Genetics and Epidemiology of Human Disease (2 cr)
  • GMS MM 703 *Cancer Biology and Genetics (2 cr)
  • GMS MM 710 *Molecules to Molecular Therapeutics: The Translation of Molecular Observations to Clinical Implementation (4 cr)
  • MET AD 893 Technology Commercialization: From Lab to Market (4 cr)

Qualifying Examination

Students must take their Qualifying Examination at the end of their second year of study to remain in good standing in the program. The Qualifying Examination tests the ability of the student to think experimentally by generating testable hypotheses based on a foundation of knowledge that can be communicated in a written document and defended orally in front of a committee of GPN members. It is recommended that at least one faculty member of the Qualifying Examination Committee be from the GPN faculty of a different campus than where the student is conducting their dissertation research. For instance, a student working in a laboratory at the Charles River Campus would also have a GPN faculty member on the examining committee from the Medical Campus. A minimum of three faculty members will be on the examining committee, with membership approved by the GEC (see above).

The exam will be structured around a written proposal that is in the form of an individual NIH training fellowship application within the student’s proposed area of thesis research as well as a written abstract and Specific Aims in an additional area to test the student’s ability to address topics outside of their comfort zone. Students will be given a small workshop run by faculty so that they first learn the basic structure of an NRSA-style fellowship application before beginning their writing exercise for the exam. During the oral exam, the examining committee evaluates the student’s core knowledge base in these two areas as well as basic neuroscience. Students must be able to propose and defend experimental and/or computational hypotheses with realistic approaches to answer key questions relevant to their Specific Aims. A successful completion of both the written and oral parts of the exam is necessary before advancing to doctoral candidacy and registering for the third year in the program.

Dissertation

Dissertation Advisory Committee (DAC)

At the end of the second year, after successful completion of the Qualifying Exam, each student and the research mentor will put together a dissertation advisory committee (DAC) of five members that contains at least two faculty members from GPN and at least one member from outside of BU to serve as an outside reader. Composition of the DAC must be approved by the program director/associate director after review with the GEC. The thesis research mentor serves as the first reader. All students make a presentation to their DAC once a semester to get feedback on their progress, although not all members of the committee need to be present (a quorum of three is acceptable). Distant DAC members may participate by teleconference with the approval of the DAC chair. Evaluation of student progress by the DAC is recorded on a tracking sheet by the DAC chair (a GPN faculty member who is not the mentor) and is placed in the student’s file for future review.

Dissertation Prospectus and Progress Report Seminar

Students generate a written document of no more than 20 pages double-spaced (Dissertation Prospectus) that describes the Aims of their thesis research, its background and significance to the field, experimental design and methods, and a bibliography. They then make a formal oral presentation (Progress Report Seminar) to the neuroscience community that is followed by a meeting of the DAC, and approval to pursue the research direction is sent to the GEC for further administrative processing. This formal progress report occurs at least one year prior to the defense.

Pre-Defense and Defense

A pre-defense meeting of the DAC occurs at least two to three weeks prior to the defense to make sure that the quality of the dissertation document is close to being acceptable for the degree and to review necessary paperwork. At this time, the committee reviews the abstract and title. The defense cannot be scheduled before the abstract is approved and copies sent to the GMS at least three weeks before the defense. At the time of their defense, students give a 50-minute oral presentation, followed by 10 minutes of questions, that is open to all members of the University. This public forum is followed by a closed session of the DAC, at which the student is asked to respond to questions put forth by the committee to test her/his ability to defend the work presented in the dissertation document.