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Last updated 20.08.08

BINFA13756 - Bioinformatics Engineering/Bachelor of Arts (BE / BA)

 

For more information, please visit the Bioinformatics Home Page

Program Overview

This 5-year plan enables an Arts degree to be combined with the standard Bioinformatics Engineering degree, with a wide range of Arts majors being available.

Anyone who meets the entry requirements for both Bioinformatics Engineering and Arts 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.

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.

The program is multi-disciplinary and students will achieve a high level of expertise across computing, maths and biology. The Bachelor of Engineering degree is awarded after completion of all Bioinformatics Engineering courses. Honours are awarded to those who obtain a weighted average mark of at least 65%. The Bachelor of Arts degree is awarded after completion of the whole program. All students complete a major project in their fourth and/or fifth year, usually supervised by a researcher in the School of Computer Science and Engineering or Biotechnology and Biomolecular Sciences.

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 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

Students qualify for the award of the two degrees of Bachelor of Engineering (Bioinformatics) and Bachelor of Arts. Students interested in the cross-disciplinary BE (Bioinformatics) can add their choice of Arts major to the standard Bioinformatics program and obtain the broader education offered by Arts and Social Sciences.

Students must meet the entry requirements for the BE (Bioinformatics) program and the Bachelor of Arts program, and must complete the courses and electives required by the Bioinformatics program (3647) as well as 60 additional units of credit in arts courses, including an approved major sequence of 42uoc at stages 2 and 3. Approved majors are given in List A of the Bachelor of Arts (3400) program. Combined programs with Arts are exempt from all of the General Education requirement.

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. The School of Computer Science and Engineering Student Office can supply examples of specific programs.

YEAR 1

 

UOC
S1

UOC
S2

BINF1001 Bioinformatics 1
-
6
BABS1201 Molecules, Cells & Genes
6
-
CHEM1041
CHEM1021
Higher Chemistry 1 D or
Fundamentals of Chem 1B
-
6
CHEM1031 CHEM1011 Higher Chemistry 1C 1 or
Fundamentals of Chemistry A
6
-
COMP1917 Higher Computing 1
6
-
COMP1927 Higher Data Structures and Algorithms
-
6
MATH1141
MATH1131
Higher Mathematics 1A or
Mathematics 1A

6

-
MATH1241
MATH1231
Higher Mathematics 1B or
Mathematics 1B

-

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 2.

 

YEAR 2

 

UOC
S1

UOC
S2

BIOC2201 Principles of Molecular Biology (Advanced)
-
6
BIOC2101
BIOS2021
BIOS2621
MICR2011
BABS2202
Principles of Biochemistry (Advanced)
Genetics or
Genetics (Advanced)
Microbiology 1
Cell Biology

12
COMP2911 Engineering Design 2
-
6
MATH1081 Discrete Mathematics
6
-
MATH2901
MATH2801
Higher Theory of Statistics or
Theory of Statistics
6
-
  Arts major level 1
6
-
  Arts major level 1
-
6
   
24
24


* In 2006 LIFE2101 was temporarily replaced by BIOC2101

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

BINF3010 Bioinformatics methods and applications 6
-
BIOC3121 Molecular Biology of Nucleic Acids
6
-
COMP2041 Software Construction
-
6
COMP3121 Algorithms & Programming Techniques 6 -
COMP3311 Database Systems
6
-
  Life Sciences Elective
-
6
  Arts major level 2
-
6
  Arts major level 2 or Arts Elective
-
6
   
24
24

 

 

YEAR 4

 

UOC
S1

UOC
S2

BINF3020 Computational Bioinformatics
-
6
COMP3711 Software Project Management - 6
  Free Elective 6
  Computing/Maths Elective
6
-
  Arts major level 2 or 3
12
  Arts major level 3 or Arts electives
12
   
24
24

Overall electives in stages 3 and 4 must include at least one computer science elective and one life science elective.

YEAR 5

 

UOC
S1

UOC
S2

BINF4910 Bioinformatics Thesis A
3
-
BINF4911 Bioinformatics Thesis B
-
12
BINF4920 Professional Issues & Ethics
3
-
  Life Sciences Elective 6
  Computing/Maths Elective 6
  Arts Major Level 3 12
  Free 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

 

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