July 14, 2016 Webcast for the Bioinformatics MS at NYU Tandon Online
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Transcript of July 14, 2016 Webcast for the Bioinformatics MS at NYU Tandon Online
NYU TANDON ONLINE MS IN BIOINFORMATICS
Thursday, July 14, 2:00pm – 3:00pmPresenters
Professor Mgavi Brathwaite, Professor and Program ManagerLuke Modzier, Student Services Counselor
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PRESENTERSProfessor Mgavi BrathwaiteProfessor and Program
Manager
Luke ModzierStudent Services Counselor
NYU BY THE NUMBERS
•NYU is the largest private university in the United States
•Second oldest engineering school in the US
•18 schools, colleges, and divisions in NYC
25countrie
s
108incubator
companies
1831
Founding
NYU BY THE NUMBERS
Abu DhabiNanjingGuangzhou
Tel AvivNYC Metro AreaBerlin
Buenos AiresFlorenceGhana
LondonMadridParis
PragueShanghai
NYU BY THE NUMBERS
4salary potential in the Nation, according to Forbes#
10
innovative IT Schoolsaccording to Computerworld#
•We have students from 93 countries
•Undergraduate Students – 2,344
•Graduate Students – 2,868
RESEARCH CENTERS OF EXCELLENCE
•Applied Dynamics and Optimization Lab •Information Systems and Internet Security (ISIS) Lab •Center for Interdisciplinary Studies in Security and Privacy (CRISSP) •High-speed Networking Lab •NYU Wireless•Center for Advanced Technology in Telecom (CATT) •Control & Telecommunications Research Lab •CITE Game Innovation Lab•Experimental Media Center •NYC Media Lab
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ACCREDITATION• Graduate and Undergraduate
– New York State Education Department– Middle States Association
• Undergraduate Engineering– Accreditation Board for
Engineering and Technology (ABET)
• Undergraduate Computer Science– Computer Science Accreditation
Board (CSAB)
ONLINE GRADUATE PROGRAM
What is NYU Tandon Online?
NYU Tandon Online is the official Online Learning Unit of NYU Tandon School of Engineering. Allowing students to study Technology, Science, Management, and Engineering anytime and anywhere.
Eliminates Barriers
ONLINE GRADUATE PROGRAM
Highly Ranked
StudentServices and Technology#3StudentEngagement & Accreditation#4
Top OnlineGraduate Engineering School
ONLINE GRADUATE PROGRAM
Highly Ranked2012OutstandingCyber Security Online Program Award
2015Ralph E. Gomory
Award for High-Quality Online
Education
2014
2014Best Online
Master’sIn Engineering
Program
Most Technologically
Savvy Online School
HOW IT WORKS
Students attend online courses on
NYUClasses• Assignments• Videos and audio• Quizzes and exams• Discussion boards
Webinar• Virtual classroom• Live Streamed Courses
Class specific software
HOW IT WORKS
HOW IT WORKS
HOW IT WORKS
HOW IT WORKS
Course-Management System and Webcasting• Secured access to NYU Classes, the school’s virtual course
management system and webcasting
Online Resources• Online Resources• Digital library• Tutor Database• Career Management Portal• Grades, transcript, other
data
• Announcements• Class, enrollment, exam
schedule• Calendar and E-Mail• Faculty directory
BIOINFORMATICS MASTER’S DEGREE
ABOUT OUR BIOINFORMATICS MASTER’S DEGREE
WHY EARN A BIOINFORMATICS DEGREE?
• Foundation of rapidly growing Biotechnology industry.
• Rapidly growing opportunities in Personalized Healthcare, Energy, Agriculture, Bioremediation, and Biodefense.
• Bioinformatics is to the 21st century what physics was to the 20th century.
PROGRAM OVERVIEW
The exponential growth of the information in a cell, and our understanding of it, has created a new discipline called bioinformatics. NYU Tandon’s Master of Science in Bioinformatics program prepares students to manage and study data from the explosion of information from the life sciences.
The program meets the demand for professionals with solid foundations in managing Big Data in the form of next generation sequence analysis and systems biology.
STUDENT TESTIMONIALS
Attending the bioinformatics graduate program, at the School of Engineering has greatly benefited my career, and I would advise anyone interested in the field of bioinformatics to consider applying. The intensive curriculum provided me with a very broad skill-set including, but not limited to, functional annotation, statistical analysis, algorithm development/analysis, as well as genomics and proteomics.
Since graduating in 2011, I have held two positions as a Bioinformatics Software Developer. The skills I acquired while attending NYU allowed me to excel in both positions. I can say with the utmost certainty that my bioinformatics career would not be where it is today, had I not attended this program
-Matt Shoa-Azar, Class of 2011Senior Engineer at BeyondCORE
STUDENT TESTIMONIALS
The bioinformatics program at NYU School of Engineering has been a unique and rewarding experience. From the moment you start classes, the professors waste no time in indulging you in the challenging yet interesting curriculum, which is comprised of a combination of well-developed courses in computer programming, statistics, and biological applications. I found that, the further I progressed in my studies, all the pieces began to come together and I could see how much I had truly learned since my first day.
The bioinformatics program even helped to provide me with field experience in bioinformatics and data analysis, so I could obtain some exposure to the nature of an industrial bioinformatics environment. I am grateful for this program; for its thorough curriculum, and diligent educators; and feel prepared for whatever challenges I may face.
-Michael D’Eletto, Class of 2014Bioinformatics Scientist for Yale New Haven Medical Center Cancer Tumor Profiling group
STUDENT TESTIMONIALS
The bioinformatics program at NYU Polytechnic School of Engineering focuses on current techniques in Next Generation Sequence Analysis and offers tailored courses suited to each student's strengths and interests. Personally, this has helped me transform my skills to industry-readiness and make significant connections to important people in academia.-Ramakrishnan Srinivasan, Class of 2014
I’m working for Leido’s Biomedical Research Inc. as a bioinformatics analyst. I work in a group that provides NGS sequencing service for the National Cancer Institute. My job is to develop NGS data, i.e, Illumina Hiseq/Miseq data, analysis pipeline to perform data management, sequence QC, alignment, coverage analysis, and variant identification. We are using a lot of programming languages and tools that were introduced or taught to me when I was in the MS bioinformatics program at the School of Engineering. I feel lucky that I was given the opportunity to study in this program and l learned so many skills that have benefitted my career path.-Wen Luo, Class of 2011
TIMELINE
• DNA Sequencing era begins in 1977.• Polymerase Chain Reaction 1985.• ABI markets the ABI 370, the first automated
sequencer.• Genbank opens as repository for sequence
data in 1982.• The Human Genome is published in 2001.• Next Generation Sequencing of Human
genome is under a week at less than $5000 in 2013.
WHAT MAKES OUR PROGRAM UNIQUE?
• Our focus is on application of skills to meet demands of the public and private sectors.
• We provide sufficient theory so that the students understand how to best apply the tools at hand to manage large datasets.
• Our motto is that we are not training students to be computer scientist or statisticians, but they must understand the fundamental concepts of each discipline.
JOB OPPORTUNITIES
Global market research estimated a 26% growth between 2011-2013 for a an estimated $6.2 billion. In 2013, Roche made a takeover bid for the leading company in the sequence analysis machine business, Illumina, for $6.2 billion. It is fair to say that when you include Complete Genomics, Life Technologies, Roche-454, Ion Torrent, and Pacific Biosciences.
Job opportunities for MS level Bioinformatics professional are abundant.
An MS in Bioinformatics along with an internship is attractive to employers. Search Indeed.com and examine the opportunities.
SKILL SET
• Solid foundation in Molecular Biology and Genetics• Programming skills
– Perl with BioPerl– R with Bioconductor – UNIX Shell Scripting – Python
• Next Generation Sequence Analysis and Systems Biology
• Relational Database Design and Web development
INTERNSHIPS
The following list consist of current opportunities that our students have been involved with, as well as new ones:
• NYU Langone Medical Center Cancer NGS Analysis• NYU Biology Dept.: Various projects dealing with Big Data• New York Genome Center: Next Generation Sequence Analysis• Regeneron Pharmaceuticals: RNASeq• Celmatix: Pathway and Sequence analysis• Solazyme: Algae genome annotation pipelines• Hunter College• American Museum of Natural History NGS Venomics
FACULTY
Our faculty has over 100 yrs of bioinformatics experience:
• Brathwaite, Katari, Hughes, Flowers, Seto, Smyth• Mgavi Brathwaite has over 20 yrs. experience in
Sequence Analysis
• Kalle Levon has over 15 yrs. Experience in Proteomics
• Flowers and Katari have over decades worth of genomic and NGS analysis
CURRICULUM
Full-Time: 30 credits in 1.2 to 2 years max
Part-Time: 30 credits in 2.5 to 3.5 years max
Maximum of 5 years to complete your degree
Basic Core (6 Credits)
Required Core(9 Credits)
Required Electives (9 Credits)
Other Electives (6 Credits)
MASTER OF SCIENCE CURRICULUM
Transition Course for students with non life science backgrounds:
BI7523:Genomics Foundations for Bioinformatics
Transition Course for students with non computer science background:
BI7644: Programming for Bioinformatics
MASTER OF SCIENCE CURRICULUM
Required Core Courses:BI7533:Bioinformatics I: Sequence Analysis
BI7543:Proteomics
BI7553:Functional Genomics
MASTER OF SCIENCE CURRICULUM
Required Electives (Pick 3):BI-GY 7583: Guided Studies in Bioinformatics I
BI-GY 7593: Guided Studies in Bioinformatics II
BI-GY 7643: Computational Tools Perl & Bioperl
BI-GY 7653: Next Generation Sequence Analysis
BI-GY 7623: Systems Biology: -Omes and –Omics
BI-GY 7633: Microarray Data Analysis
BI-GY 997X: MS Thesis in Bioinformatics
MASTER OF SCIENCE CURRICULUM
Free Electives (Pick 2):
BI-GY 7573: Informatics in Chemical and Biological Sciences
BI-GY 7633: Transcriptomics
EL-GY 6303 Probability and Stochastic Processes
ADVANCE CERTIFICATE
Core9 Credits
Elective3 Credits
Required Core:• BI7533: Bioinformatics I: Sequence Analysis• BI7653: Next Generation Sequencing & Analysis • BI7643: Computational Tools Perl & BioPerl
Elective (Pick 1):• BI7543: Proteomics
• BI7633: Transcriptomics
• CS6003: Foundation of Computer Science
TUITION
Graduate tuition, per credit $ 1,646Registration and service fee, per credit $ 85
Estimated cost of one course, 3 credits $ 5,193
Estimated cost of a Master’s Degree $ 52,000
Estimated cost of a Certificate Degree $ 19,000
SOCIETY CO-SPONSORS
Tuition ScholarshipsSociety Member Benefits
engineering.nyu.edu/enterprise-learning/society-co-sponsors
APPLICATION ELIGIBILITY
• Bachelor’s degree from accredited school• Greater than 3.0 GPA in undergraduate
school• Preference for accredited ABET, ACS and
CSAB schools• Some may be required to take prerequisite
courses without graduate credit
APPLICATION REQUIREMENTS
• Application Form• $75 Fee• Resume• Personal
Statement
• Transcripts• Two Letters of Recommendation• GRE or GMAT Scores (NYU School
Code 2668)• English Language Proficiency
(TOEFL/IELTS/CAE/Pearson PTE)
Required to Submit Your Application
Required to CompleteYour Application
APPLICATION REQUIREMENTS
• Application Form• $75 Fee
• Resume• Personal Statement
Required to Submit Your Application
APPLICATION REQUIREMENTS
• Transcripts
• GRE or GMAT Scores (NYU School Code 2668)
• Two Letters of
Recommendation
• English Language Proficiency (TOEFL/IELTS/CAE/Pearson PTE)
Required to Complete Your Application
APPLICATION DEADLINES
Fall 2016 Spring 2017*
Full-Time Applicants(9+ Credits per semester) Passed September 1,
2016
Part-Time Applicants - Early Admission(Fewer than 9 credits per semester)
Passed October 1, 2016
Part-Time Applicants(Fewer than 9 credits per semester)
Passed November 1, 2016
All documents due Passed December 15, 2016
NYU TANDON ONLINEFUTURE WEBINARS
• Industrial Engineering• Thu, Jul 28 at 2:00 PM
• Management of Technology• Tue, Sep 13 at 2:00 PM
• Bioinformatics• Thu, Sep 15 at 2:00 PM
• Cybersecurity• Wed, Jul 20 at 2:00 PM
• Computer/Electrical Engineering• Tue, Jul 26 at 1:00 PM
• General Webinar• Mon, Jul 18 at 2:00 PM
NYU TANDON ONLINE CONTACT INFORMATION
Luke ModzierStudent Services [email protected] (646) 997-3071
Front Deskonline.engineering.nyu.edu [email protected] (646) 997-3623
nyu.tandon.online
@NYUTandonOnline#NYUOnline /NYUTandonOnline
Professor Mgavi BrathwaiteProfessor and Program Manager
[email protected] | 646-997-3950