MajorUndergraduate

COMPUSC08 Computational science

Faculty of Science

Computational science (COMPUSC08) is a major worth 48 credit points, listing 22 units, taught at Clayton. It is offered in 3 courses, including Bachelor of Science and Bachelor of Science Advanced - Global Challenges (Honours).

Credit points
48
Units
22
Campus
Clayton
Offered in
3 courses

The 2027 handbook has no page for COMPUSC08. This is its 2026 entry, the latest one.

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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 major and the mathematics supporting studies required for progression in Computational science. You must complete the following mathematics units.

Note: You complete MTH1030 and MAT1830 or FIT1058.
Level 1 programming6 credit points
Level 1 computer science6 credit points
Level 2 and 3 computational science24 credit points
Computer science electives12 credit points
Progression to honours
To progress to honours, you must complete 24 credit points of relevant Level 3 units.

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

In addition to achieving the broad outcomes of your course, and successfully completing this area of study, you will be able to:
  1. 1

    Demonstrate understanding of the theoretical basis of computer science and a knowledge of computational problem solving strategies

  2. 2

    Demonstrate the ability to systematically analyse scientific problems, then develop, design and analyse algorithms to solve them

  3. 3

    Implement substantial pieces of efficient software to solve computational problems

Common questions

What units are in Computational science?

It lists 22 units, including ENG1005, FIT1008, FIT1045, FIT1053, FIT1054, FIT1058, FIT2004 and FIT2014. The structure above shows which are required and which you choose.

Major details

Type
Major
Study level
Undergraduate
Credit points
48
Faculty
Faculty of Science
Organisational unit
Clayton School of Information Technology
Handbook years
20252026