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| Offered By: | Faculty of Science | | Duration: | 4 years full-time | | Minimum: | 192 units | | Academic Plan: | 4605HBCOMP | | CRICOS Code: | 058581F | | 2009 Annual Fees: | A$21,600 | | Areas of Interest: | Computer Science and Mathematics | | The Bachelor of Computational Science (Honours) is an elite four-year, research-focused program for exceptional students who want to pursue - a career based in the computational modelling of the real world
- a research orientated career in government, commerce and industry
- or postgraduate research leading to a higher degree.
The degree program is built on a core of advanced mathematics and computer science courses linked with a specialist area of science. These core courses provide the training in the formulation, analysis, modelling and simulation of problems in science, engineering, commerce and industry. Typical areas of specialisation are physics, chemistry, biology, geology, geography, environmental sciences, applied mathematics, astrophysics, economics, and finance and computer science. In this way the general mathematical and computing skills obtained from the core courses can be applied in a sophisticated manner in a specialisation area. Students will take two extension activities which aim to introduce students to the application of computational science to scientific and industrial problems. In addition students in this program will have the opportunity to use a range of advanced computing systems, including the fastest computer in Australia, which is part of the APAC National Facility. |
Program Requirements
You will need to complete a total of 192 units of courses of which no fewer than 156 units must be science courses. Your program must include: - (a) COMP1100 or COMP1130, COMP1110 or COMP1140, COMP2100, COMP2310, at least one of COMP3320 or COMP4300, COMP3600
- (b) MATH1115, MATH1116, at least two courses chosen from MATH2405, MATH2306, MATH2320, STAT2001 and at least two courses chosen from MATH3511, MATH3512, MATH3501
- (c) successful completion of a total of two computational science extension activities associated with two of the courses MATH1115, MATH1116, MATH2405 or MATH2306
- (d) six courses (36 units) at the Honours pathway level
- (e) a science major (of the level C courses noted in (a) or (b), three must not be counted towards this major)
- (f) completion of a further 36 units of courses from anywhere in the University
- (g) completion of a science honours year program (48 units).
The degree program may not include more than 60 units at first year level. To remain enrolled in the BComptlSci(Honours) program students must maintain an average mark of 75 per cent each semester in science courses. Degree Structure | | Semester 1 | Semester 2 | Year 1 | COMP1100 or COMP1130 MATH1115 MAJOR ELECTIVE | COMP1110 or COMP1140 MATH1116 MAJOR ELECTIVE | Year 2 | COMP2100 MATH2405 or MATH2320 MAJOR ELECTIVE* | COMP2310 MATH2306 or STAT2001 MAJOR ELECTIVE* | Year 3 | MATH3511 or MATH3501 COMP3320 MAJOR MAJOR or ELECTIVE | MATH3512 COMP3600 MAJOR MAJOR or ELECTIVE | Year 4 | Science Honours Program | Science Honours Program |
* MATH3511 and MATH3512 can be taken in year 2 Career Possibilities This degree provides training in the rapidly expanding area of computational science, which leads to a broad range of exciting and challenging careers. Increasingly, mathematical models and computational techniques are taking advantage of powerful computers to simulate real world problems as well as solve problems on the cutting edge of scientific research. For example, in the automotive industry, computational techniques are used in every part of the development process, from the design of a new car body through to crash testing. In medicine, MRI scans using computer aided tomography are now commonplace. In the financial world, computerised trading relies on mathematical models of the stock market. The mining industry is dependent on computational modelling to find new mineral resources, the new discipline of Data Mining deals with the enormous amounts of electronic information collected by businesses, governments, and researchers, and uses computational analysis to discover knowledge from these information collections.
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