2026-2027 Academic Catalog

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Neuroscience (PhD)

Admissions Requirements

The Neuroscience application deadline is December 1.

PRIORITY DEADLINE FOR INTERNATIONAL APPLICANTS IS NOVEMBER 1.

Applications received by December 1 will be given first consideration for admission to the Fall Semester of the following year, but applications received subsequently may also be considered.

An application for admission must include the following:

  • Graduate School on-line application (Includes resume, statement of purpose and research statement)
  • A $50 (domestic) or $75 (international) non-refundable application fee. An application will not be processed without payment. Fee waivers are available for qualified applicants.
  • Three (3) letters of recommendation
  • International Applicants should review the additional requirements on the International Admissions Website: https://www.ucdenver.edu/international-admissions/apply-for-admission/graduate
  • One (1) unofficial or official transcript of all academic work completed to date. An official transcript will be required following acceptance to matriculate into our program and must come from the issuing institution directly and sent either electronically or mailed to:

Electronic Transcript(s): graduate.school@cuanschutz.edu

Mailed Transcript(s):

University of Colorado Denver
Graduate School
Mail Stop C296
Fitzsimons Building, C5000
13001 E. 17th Place
Aurora, CO 80045

Exams | The GRE is not required. International students may be required to submit proof of English language proficiency.

Undergraduate Coursework | An undergraduate degree or its equivalent is required. A baccalaureate degree in a biological science, chemistry, physics or engineering is recommended.

GPA | There is no absolute requirement for grade point average above that required by the graduate school, but successful applicants will generally have GPAs above 3.2 (A=4.0).

Research Experience | Research experience is strongly recommended.

Degree Requirements

First Year

Plan of Study Grid
First Year
FallHours
BMSC 7806 Core I: Foundations in Biomedical Sciences 6
NRSC 7501 Introduction to Neuroscience 1
NRSC 7615 Developmental Neurobiology 3
NRSC 7650 Research in Neuroscience 2
NRSC 7662 Survey of Neuroscience 1
NRSC 7663 Neuroscience Journal Club 1
 Hours14
Spring
NRSC 7600 Cellular & Molecular Biology 3
NRSC 7610 Fundamentals of Neurobiology 3
NRSC 7650 Research in Neuroscience 1
NRSC 7662 Survey of Neuroscience 1
NRSC 7663 Neuroscience Journal Club 1
 Hours9
 Total Hours23
Plan of Study Grid
First Year
SummerHours
NRSC 8990 Doctoral Thesis 1-10
 Hours1-10
 Total Hours1-10

Second Year1

Plan of Study Grid
Second Year
FallHours
BMSC 7811 Responsible Conduct of Research 1
BMSC 7820 Statistics and Data Analyses for the Biomedical Sciences 3
NRSC 7650 Research in Neuroscience 1-10
NRSC 7663 Neuroscience Journal Club 1
 Hours6-15
Spring
NRSC 7650 Research in Neuroscience 1-10
NRSC 7612 Nervous System Modeling with NEURON 1
ELEC 5375 Engineering Neuroscience 3
BIOE 5053 Optics & Microscopy in Biomedical Research 3
NRSC 7657 Workshop in Advanced Programming for Neuroscientists 1
MOLB 7950 Informatics and Statistics for Molecular Biology 3
NRSC 7661 Grant Proposal Writing Workshop 1
NRSC 7663 Neuroscience Journal Club 1
 Hours14-23
 Total Hours20-38
Plan of Study Grid
Second Year
SummerHours
NRSC 8990 Doctoral Thesis 1-10
 Hours1-10
 Total Hours1-10

Third Year & Beyond1

NRSC 8990Doctoral Thesis1-10
1

Students in Year 2 or 3 are required to take a minimum one-credit elective course that provides training in quantitative methods in neuroscience. Some options include: MOLB 7950 Informatics and Statistics for Molecular BiologyNRSC 7612 Nervous System Modeling with NEURONELEC 5375 Engineering NeuroscienceBIOE 5054 Introduction to Regulatory AffairsNRSC 7657 Workshop in Advanced Programming for Neuroscientists.

Learning Objectives

Graduate education in general | Doctoral education is the foundation of future scholarship and the “engine” of the research enterprise. It prepares future faculty and leaders in the academy and other areas of industry and society.

Program/Student Learning Outcomes | The PhD program in Neuroscience trains graduate students to become proficient and successful investigators who are able to:

  • Demonstrate a basic knowledge of central concepts in the biomedical sciences.
  • Understand the current concepts in Neuroscience.
  • Read and critically evaluate the scientific literature.
  • Formulate hypotheses based on current concepts in the field and design, conduct, and interpret their own research projects.
  • Present research results in peer-reviewed publications and in a dissertation.
  • Communicate research results effectively through oral presentations at scientific seminars, conferences, and other venues.
  • Write a competitive application for research funding.
  • Develop ancillary skills, where necessary, to obtain positions outside of scientific research.

Courses

BMSC 7806 -  Core I: Foundations in Biomedical Sciences  (6 Credits)  
Course will focus on the fundamental principles of biomedical sciences. Lectures and recitations/discussions will primarily address the basics of molecular biology, biochemistry, genetics, cell biology and energetic principles. Course is typically limited to ORE biomedical science PhD. Previously offered as IDPT 7806
Grading Basis: Letter Grade
Repeatable. Max Credits: 6.
Typically Offered: Fall.
BMSC 7811 -  Responsible Conduct of Research  (1 Credit)  
This course provides training in the responsible conduct of biomedical research. It is geared towards early PhD graduate students and meets NIH guidelines. Ethical issues associated with specific topics commonly encountered by graduate students are presented and discussed. This course is designed for ORE PhD students.
Grading Basis: Letter Grade
Typically Offered: Fall.
BMSC 7820 -  Statistics and Data Analyses for the Biomedical Sciences  (3 Credits)  
This is an introductory course designed for students seeking a basic understanding of statistical concepts and applications. Students will develop statistical literacy and will be taught how to perform basic data analyses, including data summarization, graphical skills, and simple statistical methods for estimation and hypothesis testing. Students will learn how to read and evaluate statistical writing and how to write basic statistical methods. The course will include limited statistical computer programing using the R programming language. The course will not focus on mathematical formulas but will rather focus on building students’ intuition and familiarity with statistical concepts. We will cover concepts such as random sampling, formulating proper hypotheses, bias, power and sample size, and multiple testing. Statistical methods will include both binary and continuous outcomes, including binomial testing, chi-square tests, t-tests, non-parametric tests and basic linear regression. Course examples will prioritize biologic examples routinely encountered in medical research studies.
Grading Basis: Letter Grade with IP
Typically Offered: Fall.
NRSC 7501 -  Introduction to Neuroscience  (1 Credit)  
Introduction to study of the nervous system from the level of the brain to an understanding of how neurons are specialized for communication and information processing. This course is a prerequisite for NRSC 7600 series courses.
Grading Basis: Letter Grade
A-GRAD Restricted to graduate students only.
Typically Offered: Fall.
NRSC 7600 -  Cellular & Molecular Biology  (3 Credits)  
A comprehensive, in-depth, discussion-based course intended for candidates for the Ph.D. in Neuroscience. Topics include ion channel structure and function, ionic basis of the resting and action potential, and the biochemistry and physiology of direct and synaptic transmission.
Grading Basis: Letter Grade
A-GRAD Restricted to graduate students only.
Typically Offered: Spring.
NRSC 7610 -  Fundamentals of Neurobiology  (3 Credits)  
This course will provide basic knowledge on the structure and function of the nervous system. The lectures will be supplemented by discussion of primary research literature in neurobiology.
Grading Basis: Letter Grade
Repeatable. Max Credits: 3.
A-GRAD Restricted to graduate students only.
Typically Offered: Spring.
NRSC 7612 -  Nervous System Modeling with NEURON  (1 Credit)  
The objective of this course is to introduce students to biophysically accurate modeling of single neurons and neuronal networks with NEURON simulation environment. Students will implement NEURON in a project of their choice, possibly related to their primary ‘wet’ research.
Grading Basis: Letter Grade
Typically Offered: Spring.
NRSC 7614 -  Biological Basis of Psychiatric & Neurological Disorders  (2 Credits)  
This elective, for basic sciences graduate students and medical students, provides a survey of current clinical and molecular aspects of human neuropsychiatric disorders. Both movement disorders and DSMIV diagnoses will be covered. Contact Course Director for a list of topics.
Grading Basis: Letter Grade
Typically Offered: Spring.
NRSC 7615 -  Developmental Neurobiology  (3 Credits)  
This course will cover fundamental principles regarding development of the nervous system. The format of the course will consist of lecture plus reading of primary literature.
Grading Basis: Letter Grade
A-GRAD Restricted to graduate students only.
Typically Offered: Fall.
NRSC 7617 -  The Biophysics of Ion Channels  (1 Credit)  
Examination of the mechanisms of ion channel gating. Covers basic of bioelectricity, kinetic analysis of channel gating, microscopic and macroscopic gating, thermodynamics, ion channel structure, ion channel pharmacology, and channelopathies.
Grading Basis: Letter Grade
Typically Offered: Spring.
NRSC 7618 -  Biology of the Eye  (1 Credit)  
Crosslisted with OPHT 6610 (for medical students). The objective of this course is to familiarize students with the core concepts and challenges in opthalmology and vision research. The course integrates cutting-edge basic science with translational research and clinical advances.
Grading Basis: Letter Grade
Typically Offered: Fall.
NRSC 7619 -  Functional MRI: Brain Imaging from Design to Analysis  (1 Credit)  
This course focuses on learning about functional and structural magnetic resonance brain imaging (MRI) research strategies and implementation, with an emphasis on functional MRI (fMRI). Focuses of this course cover a broad range of topics to help researchers better understand how to design and implement MRI research in these modalities.
Grading Basis: Letter Grade with IP
Typically Offered: Fall.
NRSC 7650 -  Research in Neuroscience  (1-10 Credits)  
Research work in neuroscience.
Grading Basis: Letter Grade with IP
Repeatable. Max Credits: 99.
A-GRAD Restricted to graduate students only.
Typically Offered: Fall, Spring, Summer.
NRSC 7657 -  Workshop in Advanced Programming for Neuroscientists  (1 Credit)  
MATLAB is an accessible programming environment that is widely used by scientists and engineers and offers powerful tools for data acquisition and data analysis. Students will develop their own MATLAB programs that are relevant to their particular line of research.
Grading Basis: Letter Grade
Typically Offered: Summer.
NRSC 7661 -  Grant Proposal Writing Workshop  (1 Credit)  
Course is practical workshop in grant-writing culminating in a mock review panel including course participants. Students will examine various proposal types/formats, then write their own proposal in the format of NRSA fellowship application.
Grading Basis: Letter Grade
A-GRAD Restricted to graduate students only.
Typically Offered: Spring.
NRSC 7662 -  Survey of Neuroscience  (1 Credit)  
Designed to expose first year graduate students to current topics n neuroscience.
Grading Basis: Letter Grade
A-GRAD Restricted to graduate students only.
Typically Offered: Fall, Spring.
NRSC 7663 -  Neuroscience Journal Club  (1 Credit)  
Biweekly journal club. NSP students in Years 2+ present articles, with presentations overseen by a faculty advisor. First year students are required to attend all journal clubs. Final grade is based upon attendance and participation at journal clubs.
Grading Basis: Letter Grade
Repeatable. Max Credits: 4.
Typically Offered: Fall, Spring.
NRSC 7670 -  Advanced Topics in Neuroscience  (1-2 Credits)  
This course will consist of discussion of manuscripts relevant to a specific topic in Neuroscience.
Grading Basis: Letter Grade
Repeatable. Max Credits: 10.
A-GRAD Restricted to graduate students only.
Typically Offered: Fall, Spring, Summer.
NRSC 7671 -  Neurotechnology for Neurologic and Psychiatric Conditions  (2 Credits)  
Neurotechnology to treat neurologic and psychiatric conditions is a rapidly growing field with ongoing innovations in technology and the understanding of how it relates to the nervous system. Examples include brain computer interface systems for movement and speech prosthesis, spinal cord stimulation for pain and to restore movement in patients with spinal cord injury, vagus nerve stimulation to drive physical rehabilitation following stroke and deep brain stimulation and targeted magnetic stimulation to treat depression. Weeks will alternate between lecture-based sessions and student-led paper discussions. Join us to explore how devices can treat and pair the body and brain!
Grading Basis: Letter Grade with IP
Typically Offered: Fall.
NRSC 8990 -  Doctoral Thesis  (1-10 Credits)  
Doctoral thesis work in neuroscience.
Grading Basis: Letter Grade with IP
A-GRAD Restricted to graduate students only.
Additional Information: Report as Full Time.
Typically Offered: Fall, Spring, Summer.

Policies

Please refer to the Office of Research Education and the Graduate School policy pages.

The Neuroscience Program handbook is located on the resources page of our website: https://www.cuanschutz.edu/graduate-programs/neuroscience/student-resources

Contact Us

Nidia Quillinan, PhD
Associate Professor
Program Co-Director
nidia.quillinan@cuanschutz.edu

Gidon Felsen, PhD
Professor
Program Co-Director
gidon.felsen@cuanschutz.edu

Kayla Scroggins
Program Administrator
Kayla.Scroggins@cuanschutz.edu
NRSC@cuanschutz.edu