COMPUSC07 Computational science
Faculty of Science
Computational science (COMPUSC07) is an extended major worth 72 credit points, listing 31 units, taught at Clayton. It is offered in 3 courses, including Bachelor of Science and Bachelor of Science Advanced - Global Challenges (Honours).
- Credit points
- 72
- Units
- 31
- Campus
- Clayton
- Offered in
- 3 courses
This is the 2025 handbook entry. See the 2026 entry.
Reviews
No reviews yetNo reviews yet. Be the first to review COMPUSC07.
Requisite map
Overview
Computational science is the construction and application of mathematical models, simulation, numerical methods and data analysis techniques to solve scientific problems using computers. It is highly relevant to all scientific study as computational techniques, algorithms and data visualisation are now deeply ingrained in aspects of all sciences. This scope ranges from understanding the interactions of sub-atomic particles through to our understanding of the processes that shape stars and galaxies, from the molecular basis of life, through to the processes that govern outbreaks of epidemics, the sustainability of ecosystems and the dynamics of the biosphere. No area of cutting edge science today is conducted without the assistance of computational science techniques. Computational science at Monash leads you from the theoretical and practical fundamentals of computer science and algorithmic problem solving, to advanced programming techniques, 3D computer graphics, visualisation and intelligent systems.
Monash is the only Group of Eight university with a dedicated IT faculty. In computer science and information systems, Monash is consistently ranked amongst the top universities worldwide by international rankings. You will 'learn by doing', using cutting-edge technology in collaborative studio environments. You will learn to think creatively and analytically, from some of the world's best academics in the field.
Computational science is now fundamental to all science disciplines. Gaining expertise in this field will enhance your job prospects and career potential in biological, physical, mathematical and biomedical science, and in the sciences related to the earth, atmosphere and environment. Computational science skills also have the potential to facilitate you moving into new discipline areas such as the humanities and creative arts where computational techniques are becoming increasingly relevant in fields such as social science, archaeology, architecture, music, and visual art.
Availability
Computational science is listed in S2000 Bachelor of Science, S3001 Bachelor of Science Advanced - Global Challenges (Honours) and S3002 Bachelor of Science Advanced - Research (Honours) at Clayton as a major, extended major and minor.
The computational science minor, major and extended major are not available in the double degree course S2004 Bachelor of Science and Bachelor of Computer Science.
Structure
Supporting studies in Mathematics
Computational science is an area of study that benefits from supporting studies in Mathematics. This entry lists the requirements of the extended major and the mathematics supporting studies required for progression in Computational science.
- MTH1030Techniques for modellingNo reviews yet6 cp
- MAT1830Discrete mathematics for computer scienceRated 3.0 out of 5 from 1 review6 cp
- FIT1058Foundations of computingNo reviews yet6 cp
Double degree with Engineering requirements
Level 1 programming6 credit points
Level 1 computer science6 credit points
Level 2 and 3 computational science24 credit points
Computer science electives12 credit points
Note: You complete only one of MTH3170 or MTH3175.
- FIT3003Business intelligence and data warehousingNo reviews yet6 cp
- FIT3080Artificial intelligenceNo reviews yet6 cp
- FIT3143Parallel computingNo reviews yet6 cp
- FIT3152Data analyticsNo reviews yet6 cp
- FIT3154Advanced data analysisNo reviews yet6 cp
- FIT3155Advanced data structures and algorithmsNo reviews yet6 cp
- FIT3185Privacy enhancing technologiesNo reviews yet6 cp
- FIT3186Vulnerability analysis, response and mitigationNo reviews yet6 cp
- MTH3170Network mathematicsNo reviews yet6 cp
- MTH3175Network mathematics (Advanced)No reviews yet6 cp
Advanced computational science units18 credit points
Advanced computational science electives6 credit points
- FIT2086Modelling for data analysisNo reviews yet6 cp
- FIT2102Programming paradigmsNo reviews yet6 cp
- FIT3003Business intelligence and data warehousingNo reviews yet6 cp
- FIT3080Artificial intelligenceNo reviews yet6 cp
- FIT3143Parallel computingNo reviews yet6 cp
- FIT3146Maker labNo reviews yet6 cp
- FIT3152Data analyticsNo reviews yet6 cp
- FIT3154Advanced data analysisNo reviews yet6 cp
- FIT3159Computer architectureNo reviews yet6 cp
- FIT3181Deep learningNo reviews yet6 cp
- FIT3182Big data management and processingNo reviews yet6 cp
- MTH3170Network mathematicsNo reviews yet6 cp
Courses that offer it
Notes
Requirements for progressing to honours and other further studies
You must meet the entry requirements for S3701 Bachelor of Science (Honours) or meet the progression requirements to the fourth year of S3002 Bachelor of Science Advanced - Research (Honours).
You must also complete prerequisite study as per the intended discipline. Refer to the honours prerequisites table.
Learning outcomes
- 1
Demonstrate understanding of the theoretical basis of computer science and a knowledge of computational problem solving strategies
- 2
Demonstrate the ability to systematically analyse scientific problems, then develop, design and analyse algorithms to solve them
- 3
Implement substantial pieces of efficient software to solve computational problems
Common questions
Which courses offer Computational science?
3 courses in 2025: Bachelor of Science, Bachelor of Science Advanced - Global Challenges (Honours) and Bachelor of Science Advanced - Research (Honours).