Course variations

Course summary

Bioinformatics is the theory, application and development of computing tools to solve problems and create hypotheses in all areas of biological sciences. Biology in the post-genome world has been and continues to be transformed from a largely laboratory-based science to one that integrates experimental and information science. Bioinformatics has contributed to advances in biology by providing tools that handle datasets too large and/or complex for manual analysis. Examples of some of these tools include assembling the DNA sequence of entire genomes, gene finding algorithms, microarray expression analysis, molecular systems modeling, and biomarker discovery from mass spectra. Computational tools are central to the organization, analysis and harvesting of biological data at the level of macromolecules, cells and systems. Consequently, there is a growing need for trained professionals who understand the languages of biology and computer science. Biologists trained in more traditional programs may not have a working knowledge of statistics and algorithms, whereas computer scientists trained in more traditional programs may not have a working knowledge of the chemistry and biology required in the field. The Undergraduate Bioinformatics Degree Program at the University of Pittsburgh, which is operated jointly by the Departments of Biological Sciences and Computer Science, program offers training that builds a solid foundation in chemistry, biology, computer science, mathematics and statistics. This training will enable students to communicate fluently with experts across these disciplines, and to have the skills necessary to apply computing tools to address contemporary problems in biology and medicine. The training will enhance the professional opportunities for undergraduates to pursue careers in pure or applied research in academia, government, pharmaceutical, medical, or biotechnology sectors.

Program modules

Modules include BIOSC 0150 Foundations of Biology 1 (3 credits) BIOSC 0160 Foundations of Biology 2 (3 credits) BIOSC 0350 Genetics (3 credits) BIOSC 1810 Macromolecular Structure & Function (3 credits) CHEM 0310 Organic Chemistry 1 (3 credits) CHEM 0320 Organic Chemistry 2 (3 credits) MATH 0220 Analytical Geometry & Calculus 1 (4 credits) STAT 1000 Applied Statistical Methods (4 credits) STAT 1221 Applied Regression (3 credits) CS 0401 Intermediate Programming using JAVA (4credits) CS 0445 Data Structures (3 credits) CS 0441 Discrete Structures for CS (3 credits) CS 1501 Algorithm Implementation (3 credits).

Entry requirement for international students

Applicants must have minimum IELTS score for undergraduate admission is 6.5. The minimum TOEFL score for undergraduate admissions is 80 on the iBT (internet-based test); 213 on the CBT (computer-based test); or 550 on the PBT (paper-based test). Students who have SAT Critical Reading result of 600 or above are exempt from the TOEFL or IELTS requirement.

Qualification

Bachelor degree

Awarding body

UNIVERSITY OF PITTSBURGH

Department name

School of Arts and Sciences, Department of Computer Science