The BE (Bioinformatics)/Master of Biomedical Engineering concurrent degree program is offered jointly through the School of Computer Science and Engineering, the Faculty of Science and the Graduate School of Biomedical Engineering. The combined Bachelor of Engineering in Bioinformatics/Master of Biomedical Engineering program allows students to combine the software engineering/molecular biology focus of bioinformatics with the broader engineering and medical emphases of the biomedical engineering program.

Students who are enrolled in a joint program are expected to maintain a Credit (65%) average across courses taken from each of the composite programs. Students who fail to meet this condition will be counselled about their suitability to remain in the combined program.

The stages of a generic combined program are shown below. It should be noted that it is possible to adapt the program by moving courses, subject to prerequisite requirements and overall program requirements.

Please contact the School of Computer Science and Engineering for information on the Program Objectives and Learning Outcomes.

And ONE of:

And ONE of:

And ONE of:

And ONE of:

And ONE of:

And ONE of:

Students who have completed HSC Biology with a mark of 75 or above may replace BIOS1101 by any of BIOS2021 or BIOS2621 in Year 1. Students who complete BIOS2201 or BIOS2621 in Year 1 will choose an elective in Year 3

Year 2

And ONE of:

And ONE of:

General Education (3 UOC)

Year 3

And ONE of:

2 BIOM 9XXX Biomedical Engineering electives (6 UOC each)

1 Bioinformatics elective from the list below:

And ONE of:

2 BIOM9XXX Biomedical Engineering electives 12 UOC

General Education (3 UOC)

2 Bioinformatics electives from Year 3 or Year 4 list below:

And ONE of:

And ONE of:

BIOM9XXX or COMP9XXX 1 Biomedical engineering elective+

And ONE of:

BIOMXXX

OR

2 Bioinformatics electives from Stage 3/4 list (6 UOC)

Industrial Training

Level 3 MATH electives and other level 3/4/9 COMP electives may be also considered. Electives

must include at least two life science electives and at least two COMP or MATH electives.

+Can be substituted for a level 9 COMP elective, preferably from the Stage 4 Bioinformatics elective list.



Recommended Biomedical Engineering Electives:

Note that the BE (Bioinformatics) program allows a variation in standard prerequisites for some courses. Bioinformatics students who want to enrol in these courses will need to request manual enrolment after consultaion with the program authority.

UNSW wants all students to develop skills in a broad range of areas, not just in their specific study discipline, and so students in all degrees are required to undertake a number of general studies courses outside their discipline. It may not be possible for Bioinformatics Engineering students to enrol in general education courses that are similar in content to the courses offered in the Bioinformatics Engineering degree. For a comprehensive list, see:
http://www.cse.unsw.edu.au/undergrad/current/gened.html

Please refer to Program Structure and contact the School of Computer Science and Engineering for the Academic Requirements relating to this program.

For information regarding fees for UNSW programs, please refer to the following web-page:  https://my.unsw.edu.au/student/fees/FeesMainPage.html

At least 60 days of approved industrial traning 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, but must be completed by the end of Year 4. Opportunities exist for 6 months industrial placement in Year 3.

Assumed Knowledge
Assumed knowledge for Mathematics (MATH1131); students will be expected to have achieved the equivalent of a combined mark of at least 100 in HSC Mathematics and HSC Mathematics Extension 1. Failure to meet this required knowledge means that General Mathematics (MATH1011) will have to be taken first. Assumed knowledge for Engilsh: at least band 3 in 2 unit Standard English.

Accreditation will be sought from Engineers Australia and the Australian Computing Society.

Career Opportunities
Data analysis and software development in drug companies, biotechnology companies and medical and biological research institutes. Graduates from this course will also be well trained to take up careers in other areas of computational data analysis, such as in banks and insurance companies. They could also pursue careers in other more general areas of computing.