An NRT-sponsored program in Data Science
Medical School Track
Medical School Track
PhD Medical Track Information Session
Our most recent PhD Medical School Track Information Session took place Thursday October 14, 2021 from 10:00am-11:00am EST.
Please visit the GSAS admissions website to apply.
2020’s PhD Medical Track Information Session took place on Thursday, November 12. Please see helpful resources from that session below:
Students in the medical track will complete the curriculum for the PhD in Data Science program. Students in this track will be able to take electives offered at the NYU School of Medicine and to work with faculty at the school. The elective curriculum will be customized in consultation with the student’s mentors to optimally correspond to the research area and mentor chosen. Possible electives are listed below.
- Bioinformatics (BMSC-GA 2604)
- Introduction to Health Informatics (BMSC-GA 4455)
- Methods in Quantitative Biology (BMSC-GA 4449)
- Advanced Integrative Omics (BMSC-GA 4498)
- Deep Learning in Medicine (BMSC-GA 4493)
- Next Generation Sequencing Informatics (BMSC-GA 4452)
- Proteomic Informatics (BMSC-GA 4437)
- User Centered Design for Health Informatics (BMSC-GA 4483)
- Evaluation Methods for Predictive Risk Models (BMSC-GA 4499)
- Fundamentals of MRI (BMSC-GA 4404)
- Practical MRI 1 (BMSC-GA 4427)
- Practical MRI 2 (BMSC-GA 4428)
- Medical Imaging (BMSC-GA 4426)
Moreover, rotations will be offered with faculty at the School of Medicine.
School of Medicine Faculty
IMAGING
- Jakob Asslaender
- Sumit Chopra
- Cem Deniz
- Krzysztof Geras
- Patricia Johnson
- Florian Knoll
- Riccardo Lattanzi
- Yvonne Lui
- Linda Moy
- Daniel Sodickson