Stream BINFA13647 - BE Bioinformatics
Stream BINFA13715 - BE Bioinformatics BCom
Stream BINFA13755 - BE Bioinformatics BSc
Stream BINFA13704 - BE Bioinformatics BA
Stream BINFA13757 - BE Bioinformatics MBiomedE
Bioinformatics is a discipline at the convergence of computing and the life sciences aimed at the development of technologies for storing, extracting, organising, analysing, interpreting and utilising the incredible amount of information being generated by new biological technologies (for example genes, proteins and whole genomes). Not only have advances in computing helped accelerate the process of data generation, but the need to process and analyse this vast amount of information has led to advances in both software technologies (databases, algorithm design, machine learning and visualisation) and hardware architectures. Additionally, there is considerable interest in Bioinformatics from researchers in medicine and mathematics.
The Bioinformatics program covers the foundation disciplines of bioinformatics, including biology (biochemistry, molecular biology and genetics), computing (algorithms, databases, programming) and mathematics and statistics. In addition, dedicated bioinformatics subjects bring together these various fields to demonstrate the use of computational methods in the analysis of high-throughput biology data including the human genome.
Bioinformatics graduates will be able to:
At least 60 days of approved Industrial Training must be completed before graduation. Industrial Training should be concurrent with enrolment and is best accumulated in the summer recesses at the end of years 2 and 3.
For full details on Industrial Training go to: www.cse.unsw.edu.au/IT
The importance of Bioinformatics to drug discovery has resulted in significant growth in the use of Bioinformatics in the pharmaceutical and biotechnology sectors. There is a growing niche for professionals with a strong foundation in both computing and life sciences. Potential employers for graduates of these programs include:
In addition to Bioinformatics employment, graduates are qualified for employment in both biotechnology and IT/software development industries, and they have proven to be popular with financial institutions for their data analysis skills.
The degree's courses can be roughly broken down to 35% computing, 35% biosciences, 15% maths and 15% specialised Bioinformatics. The students will be made aware of the context in which the commercial Bioinformatics industry is evolving. The program has a strong laboratory focus as a majority of courses have laboratory components aimed at the engineering of complex Bioinformatics systems.
Students have a choice of electives in the latter stages of the program that allows them to focus on specific areas of interest in both computing and biological sciences. Some computing specialisations include advanced programming, artificial intelligence, computer networks, e-commerce and databases. Biological specialisations include genetics, molecular biology, microbiology and biotechnology. Electives are reduced when student enrol in a dual degree program to make room for the second discipline.
Maths Ext 1, English Standard Band 3 or English (ESL) Band 4. Students who do not meet these levels should contact our Student Office about alternatives, including bridging courses and alternative program structures.
Chemistry or Biology, Maths Ext 2. Obtaining a result in Band E4 in Maths Ext 2 allows students to take the higher level maths course MATH1141.