Market Outlook
Bioinformatics Online at NYU
Curriculum
In NYU Tandon’s Bioinformatics Master of Science program, students will build strong skills in molecular biology and big data analysis. Develop solutions to critical challenges throughout medicine and the life sciences by learning to utilize genomic information and next generation sequence analysis tools.
| Requirement Area | Credits |
|---|---|
| 6 Core Courses | 18 |
| Capstone Course | 3 |
| 3 Elective Courses | 9 |
| Total Credits | 30 |
At NYU Tandon experiential learning opportunities provide students the chance to engage in practical, hands-on learning to refine technical and leadership skills. The Bioinformatics Master's program allows for students to complete various opportunities for credit counting towards degree requirements. In adherence with NYU Tandon Graduate Academic policies, students may not complete more than a combined total of 9 credits of project, guided studies, readings, or thesis toward fulfillment of the master's degree requirements.
Each student is required to complete one of the following tracks:
Laboratory Science Track
- BI-GY 7543 Proteomics for Bioinformatics
Translational Science Track
- BI-GY 7693 Population Genetics and Evolutionary Biology for Bioinformatics
- BI-GY 7733 Translational Genomics and Computational Biology
Capstone Project
At least three credits of Capstone course (BI- GY 810X BIOINFORMATICS CAPSTONE) are required to fulfill the M.S. Bioinformatics requirement for graduation. This is a variable credit course from 3cr to 9crs. Which means that you can take it for three or if you have six credits remaining you can take it for the six.
Industry internships can count as capstone credits, but the student has to register for capstone BI-810X. If it meets the programs capstone criteria, significant programming component(Python, R, and/Shell scripting). The agreement is formalized between us and the manager/PI. We avoid all agreements that deal with proprietary data.
Students must find the internships themselves (although we will help).
Projects often deal with NGS analysis. Basically, the student demonstrates their skills in a live environment. The Jupyter notebook is used throughout the course for analysis and is submitted as progress updates in Brightspace. This along with guidelines regarding deliverables are strictly enforced.
Most of our relationships are with academic labs. We don't get involved in legal issues concerning IP.
Completion of:
- Problem Solving
- NGS
- Applied biostatistics
There are several labs with multiple projects that we work with. We can place students in any of them.
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