Master of Philosophy

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Engineering, 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 Engineering, Computer and Mathematical Sciences staff. Alternatively, the MPhil can provide a pathway to more advanced research at doctoral level.


Quick facts

Programme Code: AK3720
Level: 9
Points: 120
Duration: 1 year full-time / 2 years part-time
Venue: City Campus
Start date: Anytime


Entry requirements

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)

Structure

Students will complete an original thesis during this year of study.

Staff in the School of Engineering, 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:

Analytics and Statistics

  • Applied probability
  • Bayesian inference and method
  • Computational statistics
  • Industrial risk assessment
  • Markov chain modelling
  • Markov decision processes
  • Mixture modelling
  • Renewal processes
  • Stochastic modelling
  • Warranty analysis


Applied Mathematics

  • Analytic topology and applications
  • Autonomous adaptive scheduling of large astronomical surveys
  • Computational ecology
  • Dynamical systems
  • Mathematical economics
  • Linear wave theory in fluids
  • Mathematical and computational modelling in physical electronics and charged particle optics
  • Mathematical and computational finance
  • Mathematical game theory and applications
  • Numerical algorithm development and implementation
  • Stochastic modelling in nuclear physics
  • Theoretical and computational modelling in fluid mechanics and structure-borne sounds
  • Vibration of composite structures


Artificial Intelligence

  • Expert systems
  • Modelling natural language
  • Robotics


Built Environment Engineering

  • Construction Engineering
  • Construction Management


Electrical and Electronics Engineering

  • Biomedical Technologies
  • Embedded Systems and Robotics   
  • Energy Research   
  • Industrial Optimisation, Modelling & Control
  • Power and Energy Engineering
  • Semiconductors and Integrated Devices   
  • Signal Processing


Information Systems

  • Electronic commerce
  • Global information technology
  • IT adoption and diffusion
  • Management of information systems function
  • National IT policy issues
  • Strategic information systems


Knowledge Engineering

  • Computational intelligence methods and applications
  • Intelligent support in business applications and in BioInformatics
  • Knowledge discovery in brain sciences
  • Speech and language engineering


Mathematics Education

  • Analysing the transition from secondary to tertiary education in mathematics
  • Effective teaching of mathematical modelling and applications
  • Enhancing generic thinking skills of tertiary STEM students through puzzle-based learning
  • Investigating the influence of attention on mathematical knowledge and assessment
  • Statistics education
  • Using counterexamples to enhance students' conceptual understanding in mathematics


Mechanical Engineering

  • Engineering Design   
  • Materials & Manufacturing Technologies
  • Maritime Engineering


Pure Mathematics

  • Automated formal reasoning
  • Non-standard axiomatic theories


Radio Astronomy and Astrophysics

  • Astrophysics
  • High-precision pulsar timing
  • Radio astronomy


System Usability

  • Accessing the usability of work surfaces
  • Processes and tools to improve human-computer interaction


Other areas of engineering, computer and mathematical sciences according to a match of research interests between student and staff member.

Students can also work on topics that incorporate aspects of more than one of these research areas, with supervision from staff in those groups.

For enquiries related to supervision from staff affiliated with these departments:

Built Environment Engineering
Mechanical Engineering
Electrical and Electronic Engineering

Please contact eng.phd-mphilenquiries@aut.ac.nz


For enquiries related to supervision from staff affiliated with these departments:

Computer Science
Information technology and Software Engineering
Mathematical Sciences

Please contact cmsPhDenquiries@aut.ac.nz

Career opportunities

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: 18-Jul-2017 2.28pm

The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.