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Last updated 13.08.08

BINFA13757 - Bioinformatics/Biomedical Engineering - Full Time Program

Pre-2006 Start

For more information, please visit the Bioinformatics Home Page

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 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.

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 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.

YEAR 1

 

UOC
S1

UOC
S2

COMP1911 Computing 1A
6
-
COMP1921 Data Structurers and Algorithms
-
6
MATH1141
MATH1131
Higher Mathematics 1A or
Mathematics 1A
6
-
MATH1241
MATH1231
Higher Mathematics 1B or
Mathematics 1B
-
6
BABS1201 Molecules, Cells & Genes
6
-
CHEM1031 CHEM1011 Higher Chemistry 1C 1 or
Fundamentals of Chemistry A
6
-
CHEM1041
CHEM1021
BIOS1101
Higher Chemistry 1 D or
Fundamentals of Chem 1B
Evolutionary & Functional Biology *
-
6
BINF1001 Bioinformatics 1
-
6
    24
24


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

YEAR 2

 

UOC
S1

UOC
S2

MATH1090 Discrete Mathematics
3
-
LIFE2101 Introductory Biochemistry & Microbiology *
6
-
MATH2901
MATH 2801
Higher Theory of Statistics or
Theory of Statistics
6
-
BIOC2201 Principles of Molecular Biology (Advanced)
-
6
COMP2911 Engineering Design 2
6
-
COMP2041 Software Construction: Techniques and Tools
-
6
BIOM2010 Biomedical Engineering Practice
-
3
BINF2001 Bioinformatics 2
-
6
  General Education
3
3
   
24
24


* In 2006 LIFE2101 was temporarily replaced by BIOC2101

 

YEAR 3

 

UOC
S1

UOC
S2

BIOC3121 Molecular Biology of Nucleic Acids
6
-
BIOS2021
BIOS2621
Genetics or
Advanced Genetics
-
6
BINF3001 Bioinformatics 3
-
6
COMP3311 Database Systems
6
-
COMP3121 Algorithms & Programming Techniques
6
-
BIOM9XXX 2 Biomedical engineering electives
12
  Year 3 bioinformatics elective
6
   
24
24

 

YEAR 4

 

UOC
S1

UOC
S2

PHPH2121 Principles of Physiology A
6
-
PHPH2221 Principles of Physiology B
-
6
BINF4920 Professional Issues & Ethics
3
-
COMP3711 Software Project Management
-
6
BIOM5940 Thesis A
-
3
BIOM9XXX 2 biomedical engineering electives
12
  Year 3/4 bioinformatics electives
12
   
24
24

 

YEAR 5

 

UOC
S1

UOC
S2

BIOM5941 Thesis B
12
-
BIOM9410 Regulatory Requirements of Biomedical Technology
-
6
BIOM9XXX or
COMP9XXX
Biomedical engineering elective +
6
-
BIOM9913 or
BIOM9XXX
Masters Thesis or biomedical engineering electives
-
12
  Bioinformatics electives * from Year 3/4 list
6
6
  Industrial Training
-
-
   
24
24


* 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

Year 3 Electives

COMP2121 Microprocessors & Interfacing
COMP3331 Computer Networks & Applications
BIOC3281 Recombinant DNA Techniques
BIOT3061 Biopharmaceuticals
MATH2831/ MATH2931 [Higher] Linear Models

Year 4 Electives

BIOT3011 Biotechnology A
BIOC3111 Molecular Biology of Proteins
BIOC3151 Human Genetics and Variation
MICR3021 Microbial Genetics
COMP3111 Software Engineering
COMP3411 Artificial Intelligence
BIOC3291 Genes, Genomes and Evolution
BIOT3071 Commercial Biotechnology
MICR3011 Microbial Physiology: A Molecular Approach
COMP3151 Foundations of Concurrency
COMP3222 Digital Circuits and Systems
COMP3511 Human Computer Interaction
COMP4511 User Interface Design and Construction
COMP9243 Distributed Systems
COMP9316 eCommerce Systems Implementation
COMP9333 Advanced Computer Networks
COMP9314 Next Generation Database Systems
COMP9417 Machine Learning
COMP9444 Neural Networks
MATH3801/ 3901 [Higher] Probability and Stochastic Processes
MATH3811/ 3911 [Higher] Statistical Inference
MATH3821 Statistical Modelling and Computing

 

Recommended Biomedical Engineering electives:

 

BIOM9027 Medical Imaging
BIOM9332 Biocompatibility
BIOM9420 Clinical Laboratory Science
BIOM9440 Biomedical Practical Measurement
BIOM9450 Clinical Information Systems
BIOM9613 Medical Instrumentation

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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