Master of Philosophy
Computer and Mathematical Sciences
The Master of Philosophy (MPhil) is a one year research only masters degree. It provides an opportunity for students to undertake a research topic of an applied or professional nature under the supervision of Computer and Mathematical Sciences staff. Alternatively, the MPhil can provide a pathway to more advanced research at doctoral level.
Programme Code: AK3720
Duration: 1 year full-time / 2 years part-time
Venue: City Campus
Start date: Anytime
In order to be admitted to the Master of Philosophy an applicant must have completed one of the following:
(a) a four-year bachelor’s degree at level 8 or
(b) a bachelor’s honours degree with second class honours or higher or
(c) a bachelor’s degree and a postgraduate diploma or
(d) a bachelor’s degree and at least three years of experience relevant to the proposed programme of research or
(e) a recognised professional qualification or evidence of professional experience approved by the University Postgraduate Board to be equivalent to the level of competence specified in one of 1(a) to 1(c) above.
An application for admission to the Master of Philosophy and the conditions of enrolment are subject to the approval of the University Postgraduate Board.
An applicant who applies under 1(d) or 1(e) above must provide evidence to the University Postgraduate Board of their ability to undertake advanced academic study.
The University Postgraduate Board may require an applicant to complete an approved course in research methods prior to admission.
The University Postgraduate Board must be satisfied that an applicant’s proposed programme of research is viable and the arrangements for supervision are appropriate and able to be sustained prior to enrolment.Guidelines to entry
A Postgraduate Research Proposal (PGR1 form)
Students will complete an original thesis during this year of study.
Staff in the School of Computer and Mathematical Sciences are available to supervise MPhil research on a wide range of computer and mathematical science topics. The School has extensive research capabilities in the following areas:
- Counter examples in mathematics
- Maths education
- Expert systems
- Modelling natural language
- Electronic commerce
- Global information technology
- IT adoption and diffusion
- Management of information systems function
- National IT policy issues
- Strategic information systems
- Computational intelligence methods and applications
- Intelligent support in business applications and in BioInformatics
- Knowledge discovery in brain sciences
- Speech and language engineering
- Small firm performance measurement
- Statistics education
- Accessing the usability of work surfaces
- Processes and tools to improve human-computer interaction
Students can also work on topics that incorporate aspects of more than one of these research areas, with supervision from staff in those groups.
Please feel free to contact the programme administrator for programme information.
It is expected that graduates with a Master of Philosophy will have gained the necessary skills and qualifications to follow an academic or research career leading to a PhD. Alternatively, their research topic may lead them to a position of expertise in their chosen field.
Last updated: 28-Jan-2015 4.48pm
The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.