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Last updated 12.08.09

BINFA13757 - Bioinformatics/Biomedical Engineering

Flexible First year - Entry 2006 Onwards

Program Overview

The Bachelor of Engineering and Master of Biomedical Engineering degrees are awarded after five years of study. A BE with Honours is awarded to those who obtain a weighted average mark of at least 65% in the BE part of the program. All students complete at least one major project in their last two years, usually supervised by researchers in the School of Computer Science and Engineering, School of Biotechnology and Biomolecular Sciences, or Graduate School of Biomedical Engineering.

Anyone who meets the entry requirements for both Bioinformatics Engineering and Biomedical Engineering is eligible to enter the combined program directly in first year, or Credit-average students may apply to transfer from the standard Bioinformatics Engineering plan later, although with late transfer it might not be possible to complete the program in minimum time. Students are expected to maintain a Credit average over their study.

Bioinformatics is an emerging discipline at the convergence of computing and the life sciences aimed at development of technologies for storing, extracting, organising, analysing, interpreting and utilising the 'tsunami' of information being generated. It is truly an interdisciplinary field. 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.

Biomedical engineering is the application of engineering techniques and analyses to problem-solving in medicine and the biomedical sciences. In most aspects of health care, disease prevention and treatment, or rehabilitation, there are problems that require an engineering approach. These may include developing systems to maintain and enhance life, designing replacement parts for people, or creating systems to allow the handicapped to use computers for work and communication. The growing complexity of medical technology has increased the demand for appropriately trained professionals to bridge the gap between clinical medicine and applied medical technology. These personnel must be capable of defining a medical problem in engineering science terms and of finding a solution that satisfies both engineering and medical requirements. Such trained personnel constitute the core of biomedical engineers.

program objectives: Graduates will be able to:

  • carry out sophisticated data analysis particularly in the area of biology, which will be to the benefit of society;
  • undertake the development of high quality software particularly in the area of data analysis.
  • make significant contributions to the development of computing technology, particularly for use in biological data analysis.

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 English: at least band 3 in 2 Unit Standard English.

major studies: Computing, maths, biology, bioinformatics (the integration of computing maths and biology).

minor studies: Specialist areas in computing, maths and biology such as: biochemistry, molecular biology, statistics, machine learning, algorithms, visualisation, computer interfacing, networks, databases.

Industrial Experience: At least 60 days of approved industrial training must be completed before completion of the final semester. 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 5.

professional recognition: Accreditation will be sought from the Institution of Engineers (Australia) and the Australian Computer Society

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

Program Structure

The BE (Bioinformatics)/Master of Biomedical Engineering combined 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 do not satisfy this requirement revert to the Bachelor of Engineering program at the end of Stage 3.
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.

YEAR 1   UOC
S1
UOC
S2
BABS1201 Molecules, Cells & Genes
6
-
BINF1001 Bioinformatics 1
-
6
COMP1917 Higher Computing 1 
6
-
COMP1927 Higher Data Structurers and Algorithms
-
6
MATH1131
MATH1141
Mathematics 1A or
Higher Mathematics 1A
6
-
MATH1231
MATH1241
Mathematics 1B or
Higher Mathematics 1B
-
6
CHEM1031 CHEM1011 Higher Chemistry 1C 1 or
Fundamentals of Chemistry A
6
-
CHEM1041
CHEM1021
Higher Chemistry 1 D or
Fundamentals of Chem 1B
-
6
   
24
24

 

YEAR 2   UOC
S1
UOC
S2
MATH1081 Discrete Mathematics
6
BIOC2101
BIOS2021
BIOS2621
MICR2011
BABS2202
Principles of Biochemistry (Advanced)
Genetics or
Genetics (Advanced)
Microbiology 1
Cell Biology

 

12

MATH2901
MATH2801
Higher Theory of Statistics or
Theory of Statistics
6
-
BIOC2201 Principles of Molecular Biology (Advanced)
-
6
BIOM1010 Engineering in Medicine and Biology   6
COMP2911 Engineering Design 2
6
-
COMP2041 Software Construction 6  
   
24
24


It is recommended that students start thinking about Industrial Training in the summer after Year 2 and Year 3. Graduation may be delayed if a satisfactory report for 60 day industrial training has not been received by the release of final year results.

YEAR 3   UOC
S1
UOC
S2
BIOC3121 Molecular Biology of Nucleic Acids
6
-
BINF3010 Bioinformatics Methods & Applications
6
 
BINF3020 Computational Bioinformatics - 6
COMP3311 Database Systems
6
-
COMP3121 Algorithms & Programming Techniques
6
-
BIOM9420 Clinical Laboratory Science - 6
COMP3711 Software Project Management - 6
  Free Elective - 6
   
24
24

 

YEAR 4   UOC
S1
UOC
S2
PHPH2121 Principles of Physiology A
6
-
BIOM9XXX
PHPH2221
Postgraduate Elective or
Principles of Physiology B 
-
6
BINF4920 Professional Issues & Ethics
3
-
BIOM5940 Thesis A
-
3
BIOM9XXX Postgraduate Electives
6
6
  Life Sciences Elective
6
  Computing/Maths Elective 6
  General Education
3
3
   
24
24

 

YEAR 5   UOC
S1
UOC
S2
BIOM5941 Thesis B
12
-
BIOM9410 Regulatory Requirements of Biomedical Technology
-
6
BIOM9XXX Postgraduate Elective
 6
-
BIOM9914
BIOM9XXX
Masters Thesis or
2 BIOM9XXX Postgraduate Electives

-

12
  Life Sciences Elective
6
  Computing/Maths Elective 6
   
24
24

 

Electives

Any BIOC/BIOT/MICR/BABS3xxx course for which prerequisites have been completed can be selected as a 3rd year life science elective. Recommended electives include:



UOC
BIOC3111 Molecular Biology of Proteins
6
BIOC3151  Human Genetics and Variation
6
BIOC3281  Recombinant DNA Techniques
6
BIOC3291  Genes, Genomes & Evolution
6
BIOT3011  BiotechnologyA
6
BIOT3061  Biopharmaceuticals
6

Any COMP2xxx or COMP3xxx course for which prerequisites have been completed can be selected as a 3rd year Computing elective. Recommended electives include: 

   
UOC
COMP2121 Microprocessors & Interfacing 6
COMP3111 Software Engineering
6
COMP3231 Operating Systems
6
COMP3331 Computer Networks & Applications
6
COMP3411 Artificial Intelligence
6
COMP3431 Intro. Intelligent Agents
6

Alternatively one of the following MATH courses can be chosen instead of a Computing Elective: 

   
UOC
MATH2281 Biomathematics 6
MATH2831 Linear Models 6
MATH2931 Higher Linear Models
6

Any Level 3/4/9 COMP course for which prerequistes have been completed can be selected as computing elective. The computing elective can also be replaced by one of the following Mathematics and Statistics course:

   
UOC
MATH2281 Biomathematics 6
MATH2831 Linear Models
6
MATH2931 Higher Linear Models
6
MATH3801 Probability & Schochastic Proc
6
MATH3901 Higher Probability & Schochastic Proc 6
MATH3811 Statistical Inference 6
MATH3911 Higher Statistical Inference 6

Biomedical Electives 

Please see Biomedical Engineering electives at the GSBmE Web Pages for current courses and outlines.

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 consultation with the program authority.

 

General Education

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

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