Monash University

Undergraduate - Area of study

Students who commenced study in 2015 should refer to this area of study entry for direction on the requirements; to check which units are currently available for enrolment, refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your area of study.

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This area of study entry applies to students commencing this course in 2015 and should be read in conjunction with the relevant course entry in the Handbook. Any units listed for this area of study relate only to the 'Requirements' outlined in the Faculty of Information Technology component of any bachelors double degrees.

Managing facultyFaculty of Information Technology


  • Unit codes that are not linked to their entry in the Handbook are not available for study in the current year.


Twenty-first century science without computational support is practically unimaginable. Computational analysis and visualisation are the basis to cope with the vast amounts of data that modern science and engineering must process. Computers allow us to perform virtual experiments that are too dangerous, too costly, or plainly impossible to conduct in reality, and using simulation we can even explore hypothetical worlds. The computational science major complements computer science with foundational studies in another field of science and with specialised topics in scientific computation. It aims to produce graduates that combine a scientific education with computational expertise and are adept in trans-disciplinary work.


Note: Students completing a minor or major in computational science will complete alternative units for two of the core units in the Bachelor of Computer Science as follows:

(a.) replace MAT2003 (Continuous mathematics for computer science) with one of:

  • ENG1091 Mathematics for engineering (requires approval)
  • MTH1030 Techniques for modelling

(b.) replace FIT2003 (IT professional practice) with one of:

  • SCI2010 Scientific practice and communication
  • SCI2015 Scientific practice and communication (advanced)

Minor in computational science

Students complete:

  • FIT3139 Computational science
  • FIT3143 Parallel computing
  • MTH3051 Introduction to computational mathematics
  • STA1010 Statistical methods for science or SCI1020 Introduction to statistical reasoning

Major in computational science

Students complete the minor in computational science (above) plus either a minor in mathematics or a minor in a science area of study, such as biology, physics, chemistry, and biotechnology. Refer to the Science areas of studyScience areas of study ( available at Clayton.

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Relevant courses

2380 Bachelor of Computer Science