Computational Cell Biology, Anatomy and Pathology PhD

The Computational Cell Biology, Anatomy and Pathology PhD program is a unique connector between the basic and clinical sciences. New technology has enabled tools for examination of biological structure in both macroscopic and microscopic worlds, and has facilitated powerful computational approaches for integrating those data with other modes including molecular, genetic, and biochemical information. Imaging, mechanical, electrical and optical biosensors, and high-resolution tissue and cellular microscopic evaluations, can be married with the new analytics of machine vision and machine learning to obtain insight into biomedical mechanisms.

Curriculum

Required Courses (27-29 Credits)

BE 532LEC - Machine Learning for Biomedical Data Credits: 3
BMS 501LEC - Cell Biology I Credits: 4 or
BMS 515LEC - Fundamentals of Biomedical Research I Credits: 4
BMS 516LEC - Fundamentals of Biomedical Research II Credits: 3
PAS 501LLB - Form, Function, & Visualization of Human Gross Anatomy Credits: 3 or
NRS 524SEM - Quantitative Neuroanatomy Credits: 4
PAS 505LLB - Microscopic Anatomy & Computational Methods Credits: 4 or
PAS 503LLB - Histology Credits: 5
PAS 514SEM - Seminar Credits: 1
PAS 520LLB - Optical Microscopy and Imaging Credits: 3
PAS 605LEC - Principles of General Pathology and Basic Disease Mechanisms Credits: 2

Elective Courses (14-24 credits)

Select from the following:

BMI 519LEC - Bioinformatics & Comp Bio Credits: 3
PAS 599TUT - Supervised Teaching Credits: 1 - 6
PAS 699LAB - Independent Study Credits: 1 - 6
NRS 520LEC - Cellular and Molecular Neuroscience Credits: 4
NRS 524SEM - Quantitative Neuroanatomy Credits: 4
All Biomedical Engineering (BE) graduate courses

Culminating Experience: Dissertation (19-31 credits)

PAS 650TUT - Research Credits: 1 - 15

Total Credit Hours: 72

3.0 Degree GPA required

Program Learning Outcomes (PLOs)

1) Students will acquire the knowledge necessary to interpret and evaluate information about biological structure and the role of that structure in the function of cells and organisms and in the processes of human disease.

2) Students will master computational tools for the analysis of complex biological data and apply them in addressing scientific questions.

3) Students will be able to create knowledge of biological structure and the role of that structure in the function of cells and organisms and in the of processes of disease.

4) Students will develop the ability to communicate in written and oral presentations knowledge of biological structure and the role of that structure in the function of cells and organisms and in the processes of disease.

5) Students will become articulate in explaining how specific computational approaches facilitate the creation of new knowledge within their research domain.

6) Students will demonstrate interpersonal skills of respect, tolerance, collaboration, and professional responsibility, necessary to obtain employment in research, academia, or biomedical industry in positions of substantive responsibility and leadership.

SED Statement

This program is officially registered with the New York State Education Department (SED).