Master of Computational Modelling
By research
Master of Computational Modelling
MCompMod
+ Course Availability Modes and Locations
Availability is subject to change, please verify prior to enrolment.
| Master of Computational Modelling (2709CM) |
|---|
| On Campus | Uni Wide |
| Distance Education | Uni Wide |
Normal course duration
Full-time 2.0 years (4.0 sessions)
Admission criteria
An applicant for admission to candidature for the Master of Computational Modelling degree shall have an appropriate Bachelor degree with class 1 or class 2(i) honours from an Australian university or equivalent overseas tertiary institution, taken over a minimum of four years (full-time equivalent).
Other qualifications
An applicant for admission may be accepted without the qualifications specified above. An applicant who does not possess the qualifications listed above, but has some other appropriate combination of undergraduate and postgraduate qualifications (such as relevant graduate diplomas) and/or professional performance which demonstrate to the Board of Graduate Studies that he/she is capable of undertaking research at a Master level, may be accepted into the relevant program.
Preliminary Candidature
Where an applicant does not meet the minimum entry requirements or where, in the Board of Graduate Studies view, the applicant does not have sufficient background in the proposed area of study, the Board of Graduate Studies may admit the applicant as a Preliminary Candidate for a period of up to one year.
During this period the candidate shall be required to complete work equivalent in quantity and quality to that deemed to have been achieved by standard entrants.
In addition to the standard admission requirements, a candidate wishing to take the course in distance mode must nominate a suitable local co-supervisor, usually from their home institution or place of work. The local co-supervisor must be approved by the Course Coordinator.
For admission purposes, an appropriate Bachelor degree would typically be from a quantitative discipline such as science, engineering, mathematics, statistics or computing.
Credit
No special arrangements apply
Graduation requirement
To graduate students must satisfactorily complete 128 points.
Course structure
The course comprises a Masters thesis and three core subjects from the School of Computing and Mathematics. The core subjects are shell subjects and would normally be advanced reading subjects or projects in the areas of Mathematics, Statistics, Spatial Science, Hydrology or Information Technology. No credit may be applied towards any subject
Thesis
MTH601 Research Masters Thesis P/T or
MTH602 Research Masters Thesis F/T
Core subjects
ITC532 IT Specialisation Project 3 (16 points)
ITC570 Special Topic in IT 1
ITC571 Emerging Technologies and Innovation
+ Residential School
No subjects with a Residential School component have been identified in this course.
+ Workplace Learning
No subjects with a Workplace Learning component have been identified in this course.
Enrolment pattern
Because of the flexibility of the course requirements, there is no prescribed enrolment pattern. Students may choose the order in which they undertake subjects, depending upon the availability of subjects and the meeting of any pre-requisites. Students are encouraged to enrol in core subjects in the initial sessions and attempt to complete as many of these as possible before selecting specialised subjects.
Contact
For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 334 733 (free call within Australia) or email inquiry@csu.edu.au
The information contained in the 2013 CSU Handbook was accurate at the date of publication: October 2012. The University reserves the right to vary the information at any time without notice.