Second Year of Study

Dissertation Advisor Declaration  | Plan for ConcentrationQualifying Exam

During their second year, students focus on research training.  Preferably at the beginning of G2 and no later than March 1st, each student chooses a Concentration Advisor to help him/her/them craft a program of research and independent study in a specific research area to be tested in the Oral Qualifying Exam. The concentration advisor is also consulted regarding elective courses the student may benefit from (See partial list below). Students must be officially accepted into a lab by May 1st of G2 when they submit the Dissertation Advisor Declaration form (DAD).
During the later part of G2, SHBT students prepare their Qualifying Exam. They are required to submit a request for Oral exam, no later than August 31st of G3. The QE must be taken by Oct 31st of G3. 
The students are also required to attend the Responsible Conduct of Science course  MEDSCI 300qc- Responsible Conduct of Science. The Division of Medical Sciences at Harvard Medical School requires all G2 students to participate in a Responsible Conduct of Science course during their second fall semester. This course outlines best practices for the ethical conduct of scientific research. All students are required to participate in the Conduct of Science Refresher course fall of G6 year if they are still enrolled in the program.

Electives available to SHBT students

While not required, elective courses are strongly encouraged. The course work should be crafted with the input from the concentration advisor and dissertation advisor.​​​​​​​ 

Course Title


NEURO 200 / HST 130 - Neuroscience

John Assad, Matthew Frosch

HST 160 - Genetics in Modern Medicine

Salil Garg, Sahar Nissim

BE 110 - Physiological Systems Analysis

Maurice Smith

APMTH 226 - Neural Computation

Cengiz Pehlevan

NEUROBIO 215A - The Discipline of Neuroscience

Lisa Goodrich, John Assad, etc.

NEUROBIO 316QC - Probabilistic models for neural data: from single neurons to population dynamics

Jan Drugowitsch

APMTH 115 - Mathematical Modeling

Zhiming Kuang

NEUROBIO 209 - The Neurobiology of Disease

Edward Kravitz, Patricia Musolino, Beth Stevens

MCB 131 - Computational Neuroscience

Haim Sompolinsky

MCB 145 - Neurobiology of Perception and Decision Making

Naoshige Uchida

MIT 6.341 - Discrete Time Signal Processing

James Ward

MIT 9.660 - Computational Cognitive Science

Joshua B. Tenenbaum

MIT 9.014 - Quantitative Methods and Computational Models in Neurosciences

Mehrdad Jazayeri

MIT 9.011 - Systems Neuroscience Core I

Earl K. Miller

HST.576 - Topics in Neural Signal Processing

E. N. Brown

MIT 6.867 - Machine Learning

T. Jaakkola

MIT 9.073 / HST.460 - Statistics for Neuroscience Research

E. N. Brown

MIT 6.871 / HST.956 - Machine Learning for Healthcare

D. Sontag, P. Szolovits

MIT 20.370 - Cellular Neurophysiology and Computing

Jongyoon Han

HST.141 - Molecular Medicine

V. Sankaran, S. Agarwal

MIT IDS.131 - Statistics, Computation and Applications

C. Uhler, S. Jegelka

MIT 6.345 - Spoken Language Processing

J. R. Glass

MIT 2.066 - Acoustics and Sensing

N. C. Makris

MIT 6.872 / HST.950 - Biomedical Computing

G. Alterovitz, P. Szolovits

MIT 7.98 Neural Plasticity in Learning and Memory


MIT 18.085 - Computational Science and Engineering I

L. Demanet

HST.583 - Functional MRI: Data Acquisition and Analysis

J. Polimeni, A. Yendiki

MIT 9.35 - Perception

Josh McDermott

MIT 6.555 - Biomedical Signal and Image Processing

J. Greenberg, E. Adalsteinsson

HST.524 - Design of Medical Devices and Implants


Main Track

SLP Track

SLP Track G2