Computational Cell Biology, Anatomy and Pathology MS

The MS program in Computational Cell Biology, Anatomy and pathology provides research training in biological form and function, the quantitative analysis of biological structure science and the modeling of biological systems. Our faculty are engaged in cell and developmental biology, bioimaging and neuroscience, with a strong emphasis on computational approaches that can derive unique insight from complex data sets. While our program is particularly strong microscopic anatomy and cell biology, we aim to produce scientists with knowledge of biological principles at all levels of scale, and who are enabled by proficiency in imaging methodology and data analysis.

Required Core (10 credits)

BE 532LEC - Machine Learning for Biomedical Data Credits: 3
PAS 514SEM - Seminar Credits: 1 (taken 4 semesters, for 4 credits total)
PAS 575LAB - Research Rotation Credits: 1 - 3

Anatomy Core (3-4 credits)

Select 1 from:

NRS 524SEM - Quantitative Neuroanatomy Credits: 4
PAS 501LLB - Form, Function, & Visualization of Human Gross Anatomy Credits: 3
PAS 505LLB - Microscopic Anatomy & Computational Methods Credits: 4

Electives & Culminating Experience (16-17 credits)

Electives

Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours.

All BE gradute courses
All NRS graduate courses
All PAS graduate courses
BMI 519LEC - Bioinformatics & Comp Bio Credits: 3
BMS 501LEC - Cell Biology I Credits: 4
NRS 520LEC - Cellular and Molecular Neuroscience Credits: 4
NRS 524SEM - Quantitative Neuroanatomy Credits: 4 *
PAS 501LLB - Form, Function, & Visualization of Human Gross Anatomy Credits: 3 *
PAS 505LLB - Microscopic Anatomy & Computational Methods Credits: 4 *
PAS 520LLB - Optical Microscopy and Imaging Credits: 3
PAS 605LEC - Principles of General Pathology and Basic Disease Mechanisms Credits: 2
*This course can be taken as an elective If not already taken to fulfill anatomy requirement.

Culminating Experience: Thesis

Students will generally complete 8 to 9 credits of Thesis work. Consult with your academic advisor.

PAS 650TUT - Research Credits: 1 - 15

Total Credit Hours: 30

3.0 Degree GPA required

SED Statement

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

Program Learning Outcomes (PLOs)

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

2) Students will be able to use digital image analysis, machine learning, and other computational tools to extract biological information and address scientific questions.

3) Students will be able communicate, in written and oral presentations, knowledge of biological structure and the role of that structure in the function of cells and organisms.

4) Students will be able to explain how computational approaches facilitate the creation of new knowledge in cell biology, anatomy and pathology.

5) Students will demonstrate professional qualities necessary to obtain employment in academic programs or research laboratories in industry, or to progress to advanced biomedical training after graduation, such as a PhD program; e.g., independence, responsibility, respect, tolerance, and collaboration