BIOINFORMATICS & COMPUTATIONAL BIOLOGY
Telephone: (302) 831-0161
Faculty Listing: http://bioinformatics.udel.edu/Education/faculty
A. PROGRAM OVERVIEW
Bioinformatics & Computational Biology is an emerging field where biological and
computational disciplines converge. The field encompasses the development and application of computational tools and techniques for the collection, analysis, management, and visualization of biological data, as well as modeling and simulation methods for the study of biological systems. Essential to the 21st century life sciences research and key to our understanding of complex biological systems, Bioinformatics is impacting the science and technology of fields ranging from agricultural, energy and environmental sciences to pharmaceutical and medical sciences.
The Graduate Certificate in Bioinformatics is administered through the Department of Computer & Information Sciences and coordinated by the Center for Bioinformatics & Computational Biology. The scientific curriculum is supported with the research strength, education resources and bioinformatics infrastructure from ten participating Departments across the Colleges of Arts & Sciences, Engineering, Agriculture & Natural Resources, and Earth, Ocean & Environment, as well as the Delaware Biotechnology Institute.
The Computational Sciences Concentration provides knowledge and experience in developing computational methods and bioinformatics tools and databases for modern biological studies, biotechnology or medicine. The Certificate will provide bioinformatics core competency as a stepping stone for a professional career.
B. REQUIREMENTS FOR ADMISSION
Admission to the graduate program is competitive. Those who meet stated requirements are not guaranteed admission, nor are those who fail to meet all of those requirements necessarily precluded from admission if they offer other appropriate strengths.
The following are the admission requirements to the Graduate Certificate in Bioinformatics:
A bachelor’s degree at an accredited four-year college or university with a minimum grade average of 3.0 on a 4.0 system; Applicants may have undergraduate degrees from biological, computational, or other disciplines. However, applicants are expected to have scholarly competence in mathematics, computer science and/or biology;
The following GRE scores are competitive: Quantitative: 650, Verbal + Quantitative: 1200. No GRE subject test is required; International student applicants must demonstrate a satisfactory level of proficiency in the English language if English is not the first language. The University requires an official paper-based TOEFL score of at least 550, at least 213 on the computer-based TOEFL, or at least 79 on the Internet-based TOEFL. TOEFL scores more than two years old cannot be considered official; Three letters of recommendation are required. At lease one letter must be from a professor; other letters can be from employers or others who have had a supervisory relationship with the applicant and are able to assess the applicant’s potential for success in graduate studies; and Applications must also include a resume outlining work and academic experience, as well as an application essay consisting of the answers to the following questions: What educational background and scientific research or employment experience prepare you for this bioinformatics degree program? What are your long-term professional objectives? What specific attributes of the bioinformatics program make you feel that this degree is appropriate to help you achieve your professional objectives?
C. DEGREE REQUIREMENTS
The Graduate Certificate in Bioinformatics requires 15 credits in the Bioinformatics &
Computational Biology Core courses to achieve core competency in Bioinformatics.
BINF-CERT: COMPUTATIONAL SCIENCES CONCENTRATION
Bioinformatics & Computational Biology Core–Computational Science………….…... 15 Credits
Total number of required credits: 15
Bioinformatics & Computational Biology Core–Computational Science (15 credits)
(All coursework is worth 3 credits unless otherwise noted.)
Introduction to Discipline (select one)
ELEG 671 Introduction to Biomedical Engineering
BISC 602 Molecular Biology of Animal Cells
BISC 612 Advanced Cell Biology
BISC 654 Biochemical Genetics
PLSC 636 Plant Genes and Genomes
ANFS 670 Principles of Molecular Genetics
MAST 616 Methods in Molecular Biology
MATH 660 Introduction to Systems Biology
CISC 637 Database Systems
Biostatistics (select one)
STAT 613 Multivariate Statistical Methods with Biology Applications
STAT 656 Biostatistics
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students and others who use the Catalog should note that the policies, rules, regulations,
requirements for graduation, course offerings, and other materials reproduced in the Catalog change
from time-to-time and that these changes may alter the information contained in this Catalog.
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