Bioinformatics Bridge Program
A program designed for students lacking a background in computer science giving you a gateway to a graduate-level degree in bioinformatics.
A technical approach to the field of life sciences is now central. If you are looking to progress and pursue a Bioinformatics Master's Degree at NYU Tandon School of Engineering with little or no knowledge of Data or Biological Sciences, our online Bioinformatics Bridge Program provides you with foundational training to understand this cutting-edge discipline.
I highly recommend this course to the dedicated individual seeking a deeper level of understanding for what they don't know (yet) in a short frame of time.
- Yin Mei
Students must have a Bachelor's degree in any discipline. To successfully complete this Bridge course with a good grade, proficiency in college algebra, and some exposure to programming is desirable. Starting to learn a simple language will help you get familiar with the notion of programming, and free online resources such as Coursera, YouTube, or even blogs can help you prepare.
If you complete this intensive Bridge course with a grade of B+ or better, you are eligible to be admitted to the NYU Tandon Computer Science master's program without any course deficiencies. To be considered, you will have to meet all other School of Engineering admission requirements as well. Please review the Bioinformatics, MS program requirements for the full listing.
Dates last updated on: 4/5/19.
Please check back for future deadline updates.
|Semester||Duration||Application Deadline||Start Date||End Date|
|Winter 2020||17-Week||October 15, 2019||January 6, 2020||May 1, 2020|
|Winter 2020||24-Week||October 15, 2019||January 6, 2020||June 19, 2020|
|Spring 2020||24-Week||January 8, 2020||March 30, 2020||September 11, 2020|
|Summer 2020||17-Week||April 2, 2020||July 6, 2020||October 30, 2020|
|Summer 2020||24-Week||April 2, 2020||July 6, 2020||December 18, 2020|
|Cost: $1,500||Credits: 0|
The deferral deadline for each semester can be found on our Bridge Student Resources page.
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Topics You'll Learn About
This program is one course covering several topics listed below.
- Fundamentals of system hardware
- Number Systems
- Compilation and Execution process
- Data types and Expressions
- Iterative Statements
- Propositional logic
- Predicate logic
- Proving techniques: Rules of inference, Proof by contradiction, Induction
- Sets basics
- Intro to algorithm analysis and Order of growth
- Functions, Abstraction and Runtime stack
- Pointers and Dynamic allocation
- Searching and Sorting
- Object Oriented Programming concepts
- File Processing
- Linked Lists
- Data Structures
- Trees and Binary Search trees
- Computer Organization
- Assembly language basics
- Intro to OS Concepts
- Processes & Threads
- Thread concurrency and deadlocks
- Memory Management