PhD in Computational Neuroscience

Specialize in computational, neurorehabilitation and neuroimaging neuroscience

Students pursuing this specialization will study computational, neurophysiological, and biomechanical approaches to understand nervous system function. Applicants who are well-suited to this track are those with interests in acquiring skills in computer programming, modeling, electrophysiology, and experimental/clinical testing of human participants. 

Areas of focus include:

  • Statistical models for magnetic resonance imaging
  • Computational models of gene regulatory networks
  • Predictive models of neurophysiological processes and clinical outcomes
  • Human visuomotor processing
  • Functional neuroimaging
  • Brain structural and functional connectivity
  • Spinal cord imaging and human motor control
  • Neural and neurodevelopmental disorders
  • Neurodegenerative diseases
  • Rehabilitative strategies


Computational Modeling



Explores processes from single neurons to neuronal networks including neural interconnections, neural signal processing, and synaptic plasticity.

Explores the mechanisms and clinical and laboratory methods for studying neural disorders and the treatment strategies to address them.

Explores imaging physics, mathematics, and methods towards problems in basic and applied neuroscience.

Requirements and course work can be found on the Graduate School bulletin.

Take the next step towards your future



  • Contact Us
  • Departments & Faculty
  • Application Details
  • Financial Aid

Ready to learn more about Marquette's neuroscience PhD program? Request more information now or schedule an on-campus visit.

Graduate Program Recruiter

Tim Carter

(414) 288-7139

Email the Graduate School

*required field


This doctoral program brings together faculty from Biological Sciences, Biomedical Engineering, Biomedical Sciences, Physical Therapy-Exercise Science, Mathematics Statistics & Computer Science, Philosophy, and Psychology. Their collective expertise will be able to provide a structured neuroscience-based curriculum that will allow for educational and research opportunities in this rapidly expanding subject area and will lead students to emerging career opportunities. Learn more about faculty research areas by visiting their department webpages.

Biological Sciences

Deanna Arble

Edward Blumenthal

Anita Manogaran

Michelle Mynlieff

Biomedical Engineering

Scott Beardsley

Gerald Harris

Robert Scheidt

Biomedical Sciences

David Baker

Murray Blackmore

SuJean Choi

Jennifer Evans

Paul Gasser

M. Benham Ghasemzadeh

Marieke Gilmartin

Matt Hearing

Douglas Lobner

Robert Peoples

Robert Wheeler

Alex Savtchouk

Electrical and Computer Engineering

Dong Hye Ye


Mathematical and Statistical Sciences

Daniel Rowe



Corinne Bloch-Mullins


Physical Therapy - Exercise Science

Allison Hyngstrom

Sheila Schindler-Ivens

 Kristi Streeter


Kristy Nielson

Jacklynn Fitzgerald

Nakia Gordon

Occupational Therapy

Sam Nemanich


Associate Members

Dr. Alexandre Martins - theology

Dr. Leigh Ann Mrotek- biomedical engineering

Application Deadline

Applications are due to the Graduate School by December 1 for the following fall term. 

Application Requirements

The recruitment committee reviews applications and selects a sub-group for phone interviews. After phone interviews are complete, the applications are selected for on-campus interviews. All applicants are notified of the committee’s decision.

Research and teaching assistantships are available.

Private scholarships may also be available. U.S. citizens and permanent residents may be eligible to apply for need-based federal aid (loans) to help fund their educational expenses as well.