UNSW Handbook Plan - Bioinformatics

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Bioinformatics - COMPBS5432

Plan Outline

Plan Structure

This Plan is no longer accepting new enrolments

Plan Summary


	Faculty: ENG - Faculty of Engineering
	School: School of Computer Science and Engineering
	Contact: http://www.cse.unsw.edu.au
	Program: 5432 - Computing and Information Tech
	Award(s):
	Graduate Diploma (Specialisation)

Plan Outline

Bioinformatics

Bioinformatics is an exciting field at the junction of computer science and biology. It deals with the application of computing and mathematical methods to the management, analysis and modelling of biological data, especially in relation to molecular biology.

Potential employers include research groups in the biotechnology and pharmaceutical industries and institutions such as universities, medical research institutes and research hospitals.

The Bioinformatics major in the MIT and MCIT program is targeted at graduates who are interested in applying computer science and computer engineering skills to problems in the life sciences. It covers the scientific foundations of bioinformatics (biotechnology and statistics), computer technologies important in bioinformatics (programming, scripting, machine learning, data mining and warehousing) and bioinformatics methods and applications in the analysis of sequence, structure and function of biological molecules.

Plan Structure

Bioinformatics majors are required to complete the following two courses:

Group B/C course:

BIOT7160 Genomics and Proteomics (6 UOC)

Group D course:

BINF9010 Bioinformatics Methods and App (6 UOC)

Bioinformatics majors must also take at least one course from the following four:

Group B/C Courses

MATH5846 Intro to Prob and Stoch Proc (6 UOC)
MATH5856 Intro to Stats and Stat Comput (6 UOC)

MATH5856 has a co-requisite of MATH5846. Seek permission from School of Mathematics if you have sufficient background knowledge and wish to enrol in MATH5856 on its own.

Group D Courses

COMP9318 Data Warehousing & Data Mining (6 UOC)
COMP9417 Machine Learning & Data Mining (6 UOC)

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© The University of New South Wales (CRICOS Provider No.: 00098G), 2004-2011. The information contained in this Handbook is indicative only. While every effort is made to keep this information up-to-date, the University reserves the right to discontinue or vary arrangements, programs and courses at any time without notice and at its discretion. While the University will try to avoid or minimise any inconvenience, changes may also be made to programs, courses and staff after enrolment. The University may also set limits on the number of students in a course.