Revolutionary changes are taking place in how we interpret health and treat disease. With extraordinary advances in both gene sequencing and machine learning, the bioinformatics field is expanding exponentially and creating a myriad of opportunities for professionals with in-depth knowledge of techniques for mastering complex data.
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.
By creating and advancing algorithms, utilizing computational and statistical techniques, and applying theory, students can solve practical problems that arise in the management of biological data. Prepare to make significant contributions to society through groundbreaking innovations in cancer care, vaccine design, agriculture, and energy.
Machine Learning and Data Science for Bioinformatics
3
Electives
The electives are comprised of a combination of track electives and bioinformatics electives. Each student must complete the requirements of one of the tracks below. A total of 9 elective credits are required.
9
Tracks
Each student is required to complete one of the following tracks:
The remaining electives will be chosen from the list below. Students also have the option of taking additional track electives, which will count as bioinformatics electives.
Students may enroll in the capstone course across multiple semesters for a total of up to 9 credits. Additional capstone credits, beyond the 3 required, will count as electives (specifically, bioinformatics electives).
Upon successful completion of the program, graduates will:
Perform Big Data of Omics datasets. This includes scalable applications.
Demonstrate command of R & Bioconductor, Python & Biopython, as well as UNIX to process, analyze, and maintain quality control of biological data.
Demonstrate command of the fundamentals of Bioinformatics & Computational Biology with Biologist, Computer Scientist, as well as Statisticians through written or verbal communication.
Demonstrate understanding of fundamental concepts of mathematics and computer science as they relate to Bioinformatics & Computational Biology.
Solid knowledge of Bioinformatics & Computational Biology resources and tools for research and analysis.
Application of Next Generation Sequence Analysis, Machine Learning and Translational Genomics in healthcare.