Bioinformatics, MS

Curriculum - Bioinformatics, MS

Degree Requirements

To satisfy the requirements for the Master of Science degree, you must complete 30 credits. The Institute requires an overall grade-point average of B in all graduate courses. You are required to take the 4 core courses. And if you do not have a BS degree in chemical or biological sciences, you are required to take BI 7513 Chemical Foundation For Bioinformatics, Credits: 3.00 and BI 7523 Biological Foundation For Bioinformatics, Credits: 3.00. Computational proficiency is expected.

You may elect to conduct research and write a thesis (9 credits). An oral thesis defense is held after the typed, written thesis is submitted in accordance with institute formats for projects, theses, and publications. A grade of A or B is required. If you decide not to write a thesis, you may choose to take 3 to 6 credits of guided studies and submit a written report. You can satisfy remaining credit requirements by taking elective courses with your adviser’s approval. (No more than 9 credits of electives can be selected from outside the program.)

Basic Core Courses

Required courses for students with computer science or similar background:

BI 7513 Chemical Foundation For Bioinformatics, Credits: 3.00

BI 7523 Biological Foundation For Bioinformatics, Credits: 3.00

Required courses for students with chemical or biological science background:

CS 5303 Introduction to Programming and Problem Solving, Credits: 3.00

CS 5403 Data Structures and Algorithms, Credits: 3.00

 

Required Core Courses

BI 7533 Bioinformatics I: Sequence Analysis, Credits: 3.00
BI 7543 Bioinformatics II: Protein Structure, Credits: 3.00
BI 7553 Bioinformatics III: Functional Prediction, Credits: 3.00
 

Electives

BI 7643 Computational Tools Perl & Bioperl, Credits: 3.00
BI 7653 Next Generation Sequence Analysis, Credits: 3.00
BI 7573 Special Topics in “informatics in Chemical and Biological Sciences”, Credits: 3.00
BI 7583 Guided Studies in Bioinformatics I, Credits: 3.00
BI 7593 Guided Studies in Bioinformatics II, Credits: 3.00
BI 7613 Introduction to Systems Biology, Credits: 3.00
BI 7623 Systems Biology: -Omes and -Omics, Credits: 3.00
BI 7633 Microarray Data Analysis, Credits: 3.00
CS 6003 Foundations of Computer Science, Credits: 3.00
CS 6083 Principles of Database Systems, Credits: 3.00
CS 6923 Machine Learning, Credits: 3.00

Graduate Courses

BI 7513 Chemical Foundation For Bioinformatics, Credits: 3.00
BI 7523 Biological Foundation For Bioinformatics, Credits: 3.00
BI 7533 Bioinformatics I: Sequence Analysis, Credits: 3.00
BI 7543 Bioinformatics II: Protein Structure, Credits: 3.00
BI 7553 Bioinformatics III: Functional Prediction, Credits: 3.00
BI 7573 Special Topics in “informatics in Chemical and Biological Sciences”, Credits: 3.00
BI 997X Ms Thesis in Bioinformatics, Credits: Variable
BI 7613 Introduction to Systems Biology, Credits: 3.00
BI 7623 Systems Biology: -Omes and -Omics, Credits: 3.00
BI 7633 Microarray Data Analysis, Credits: 3.00
BI 7643 Computational Tools Perl & Bioperl, Credits: 3.00
BI 7653 Next Generation Sequence Analysis, Credits: 3.00
BI 7843 Molecular Modeling and Simulation, Credits: 3.00
BI 7583 Guided Studies in Bioinformatics I, Credits: 3.00
BI 7593 Guided Studies in Bioinformatics II, Credits: 3.00

NYU Courses

Biol-GA 1128 Systems Biology
Biol-GA 1130 Applied Genomics: Intro to Bioinformatics and Network Modelling
Comp-GA 2200 Computational Biology Student Seminar