Ph.D.- Engineering (351AA)
Doctorate by ResearchYear: 2017 Delivered: On Campus
About this course
Coordinator
Associate Dean (Research)
Contact
Melbourne School of Engineering
Ground Floor, Old Engineering (Building 173)
Overview
| Award title | Doctor of Philosophy |
|---|---|
| Year & campus | 2017 |
| CRICOS code | 056957F |
| Fees information | Subject EFTSL, level, discipline and census date |
| Study level & type | Graduate Research |
| AQF level | 10 |
| Duration | 4 years full-time, or equivalent part-time |
There will be no further entry into this course. The course structure below only applies to re-enrolling students who commenced their studies prior to 2015.
From 2016, refer to the DR-PHILENG: Doctor of Philosophy - Engineering.
The degree of Doctor of Philosophy signifies that the holder has undertaken a substantial piece of original research, which has been conducted and reported by the holder under proper academic supervision and in a research environment for a prescribed period.
The PhD thesis demonstrates authority in the candidate's field and shows evidence of command of knowledge in relevant fields. It shows that the candidate has a thorough grasp of the appropriate methodological techniques and an awareness of their limitations. The thesis also makes a distinct contribution to knowledge. Its contribution to knowledge rests on originality of approach and / or interpretation of the findings and, in some cases, the discovery of new facts. The thesis demonstrates an ability to communicate research findings effectively in the professional arena and in an international context. It is a careful, rigorous and sustained piece of work demonstrating that a research 'apprenticeship' is complete and the holder is admitted to the community of scholars in the discipline.
In scope, the PhD thesis differs from a research Masters thesis chiefly by its deeper and more comprehensive treatment of the chosen subject. It is written succinctly, in English, unless approval has been given for the thesis to be written in a language other than English. The normal length of a PhD thesis is 80,000 words, exclusive of words in tables, maps, bibliographies, and appendices. Footnotes are included as part of the word limit. The thesis should not exceed 100,000 words (or equivalent) without special approval from the Research Higher Degrees Committee.
A candidate will have appropriately experienced supervisor(s) and an Advisory Committee who in consultation with the candidate, arranges a course of supervised research designed to suit the individual requirements and interests of the candidate. A candidate may be required to supplement their research program by attendance at, or enrolment in, additional subjects if considered necessary by the supervisor(s). All students are required to attend departmental seminars over the period of their candidature.
Duration
The normal period of candidature is three years for full-time candidates with the possibility of two, six month extensions. All PhD candidates are required to complete a minimum of 12 months full-time research at the University in order to benefit from planning, conducting and writing up their research within a University community and environment. Normally the entire PhD is undertaken at the University. To be eligible to submit a thesis students must be enrolled in their course for the minimum period of 24 months full-time equivalent.
Intake
Students may commence a PhD at any time during the year subject to prior arrangement with their nominated supervisor.
Graduate research students in the School of Engineering are required to enrol in coursework components. Enrolment in these coursework subjects is dependent on commencement in the PhD-Engineering prior to the first day of scheduled classes. Students are encouraged to enrol into their graduate research degree prior to Semester 1 or Semester 2 class commencement if they are intending on enrolling in coursework subjects in the corresponding semester.
Please check with the relevant department prior to making any arrangements for enrolment or travel.
Links to further information
Entry requirements
1. In order to be considered for entry, applicants must have completed:
• A four-year bachelor degree in a relevant discipline which includes a substantial research component equivalent to at least 25% of one year of full-time study and have achieved a minimum weighted average of 75% in the final year subjects or (University of Melbourne) equivalent
or
• A masters degree in a relevant discipline which includes a substantial research component equivalent to at least 25% of one year of full-time study and achieved a minimum weighted average of 75% or (University of Melbourne) equivalent
or
• A qualification and professional experience considered to be equivalent
and
• A research proposal
• Referee reports (except for applicants who have graduated from the University of Melbourne within the last 5 years)
• The endorsement of a prospective supervisor.
Meeting these requirements does not guarantee selection.
2. In selecting applicants, the selection committee will consider applicants’:
• Prior academic performance and, if relevant, professional qualifications
• Understanding of the research question to be explored
• Performance at an interview
• The applicant’s motivation and capacity to complete the course in a timely manner
• Relevant prior research and/or professional experience
• The referee reports.
3. The selection committee may seek further information to clarify any aspect of an application in accordance with the Selection and Admission into Graduate Research Courses Policy.
4. The minimum English language requirements for this course are: Band 6.5.
http://futurestudents.unimelb.edu.au/admissions/entry-requirements/language-requirements
For more information on the application process see http://www.eng.unimelb.edu.au/study/research/
Inherent requirements (core participation requirements)
All PhD candidates are required to complete the equivalent of at least 12 months full-time (24 months part-time) advanced study and research in the University unless studying at an outside institution approved by the Research Higher Degrees Committee (RHDC). The RHDC will not approve entirely distance supervision or entirely on-line supervision for research higher degree students.Throughout their candidature candidates are expected to attend the University in order to benefit from planning, conducting and writing up their research within a University community and environment.The residency requirement is deemed especially important during the period of probationary candidature. During probationary candidature the student is expected to interact on a regular basis with the supervisor, the department (including staff and other research students) and the University, so as: to build the skills and knowledge necessary to carry out the proposed research program to acquire an understanding of the standards and requirements for a PhD awarded by the University to make use of support programs and facilities provided by the Melbourne School of Graduate Research throughout candidature. It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability will impact on meeting the requirements of this course are encouraged to discuss this matter with a Faculty Student Adviser and the Disability Liaison.
Intended learning outcomes
See 'Graduate Attributes'
Graduate attributes
Doctoral degrees at the University of Melbourne seek to develop graduates who demonstrate academic leadership, increasing independence, creativity and innovation in their research work. The University expects its doctoral graduates to have the following qualities and skills: an advanced ability to initiate research and to formulate viable research questions; a demonstrated capacity to design, conduct and report sustained and original research; the capacity to contextualise research within an international corpus of specialist knowledge; an advanced ability to evaluate and synthesize research-based and scholarly literature; an advanced understanding of key disciplinary and multi-disciplinary norms and perspectives relevant to the field; highly developed problem-solving abilities and flexibility of approach; the ability to analyse critically within and across a changing disciplinary environment; the capacity to disseminate the results of research and scholarship by oral and written communication to a variety of audiences; a capacity to cooperate with and respect the contributions of fellow researchers and scholars; a profound respect for truth and intellectual integrity, and for the ethics of research and scholarship; an advanced facility in the management of information, including the application of computer systems and software where appropriate to the student's field of study; an understanding of the relevance and value of their research to national and international communities of scholars and collaborators; an awareness where appropriate of issues related to intellectual property management and the commercialisation of innovation; and an ability to formulate applications to relevant agencies, such as funding bodies and ethics committees. The University provides a variety of opportunities in addition to the supervised research program, to facilitate a students' acquisition of these attributes.
Course structure
Coursework Component
All PhD students in the School of Engineering must complete two subjects from the approved lists below prior to confirmation. Students in the Department of Electrical and Electronic Engineering must complete two additional subjects after confirmation, which may be chosen outside of the Departmental list with additional approval.
Awarding of Final Mark & Grade
Students must successfully complete the required coursework component in order to be awarded the PhD-Engineering. Where there is a coursework component the final mark and grade for the degree is the mark and grade awarded for the PhD thesis.
Subject options
All students in the School of Engineering must complete two subjects from the approved lists below prior to confirmation. Students in the Department of Electrical and Electronic Engineering must complete two additional subjects after confirmation, which may be chosen outside of the Departmental list with additional approval.
If a student does not have sufficient background in the subjects or their area of research, they may be required by the supervisory panel to take preliminary undergraduate subjects or complementary subjects such as ‘LING90002 Presenting Academic Discourse’ or ‘MAST90007: Statistics for Research Workers’. Preliminary undergraduate and complementary subjects will not count towards the postgraduate level coursework requirement for 351AA PhD-Engineering.
Students in the following Departments may select subjects from the complete list below;
• Chemical and Biomolecular Engineering
• Computing and Information Systems
• Infrastructure Engineering
• Mechanical Engineering
Graduate/Postgraduate subjects NOT listed below may be selected in consultation with the student’s supervisor and are subject to the endorsement of the subject coordinator and Head of Department.
Students in Electrical and Electronic Engineering must select from the Electrical and Electronic Engineering list.
Subjects Available:
Biomedical Engineering
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| BMEN90002 | Neural Information Processing | Semester 2 (On Campus - Parkville) |
12.5 |
| BMEN90004 | Advanced Neural Information Processing | Semester 1 (On Campus - Parkville) |
12.5 |
| BMEN90011 | Tissue Engineering & Stem Cells | Semester 2 (On Campus - Parkville) |
12.5 |
| BMEN90012 | Soft Matter Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
| BMEN90021 | Medical Imaging | Semester 1 (On Campus - Parkville) |
12.5 |
| BMEN90022 | Computational Biomechanics | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90071 | Auditory and Visual Processing | Semester 2 (On Campus - Parkville) |
12.5 |
Chemical and Biomolecular Engineering
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| BIEN90004 | Biochemical & Pharmaceutical Engineering | Semester 2 (On Campus - Parkville) |
12.5 |
| BMEN90011 | Tissue Engineering & Stem Cells | Semester 2 (On Campus - Parkville) |
12.5 |
| BMEN90012 | Soft Matter Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
| CHEN90007 | Advanced Thermo & Reactor Engineering | Semester 2 (On Campus - Parkville) |
12.5 |
| CHEN90010 | Minerals, Materials and Recycling | Semester 2 (On Campus - Parkville) |
12.5 |
| CHEN90011 | Bioenvironmental Engineering | Semester 2 (On Campus - Parkville) |
12.5 |
| CHEN90012 | Process Equipment Design | Semester 1 (On Campus - Parkville) |
12.5 |
| CHEN90018 | Particle Mechanics and Processing | Semester 1 (On Campus - Parkville) |
12.5 |
| CHEN90019 | Advanced Heat & Mass Transport Processes | Semester 1 (On Campus - Parkville) |
12.5 |
| CHEN90027 | Carbon Capture and Storage | Semester 1 (On Campus - Parkville) |
12.5 |
| CHEN90031 | Bioprocess Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
| CHEN90032 | Process Dynamics And Control | Semester 2 (On Campus - Parkville) |
12.5 |
| CHEN90034 | Research Methods | Semester 1 (On Campus - Parkville) |
12.5 |
| CHEN90035 | Advanced Topics in Chemical Engineering | Summer Term (On Campus - Parkville) |
12.5 |
| CHEN90036 | Recent Advances in Separation Processes | Semester 1 (On Campus - Parkville) |
12.5 |
| ENGR90024 | Computational Fluid Dynamics | Semester 1 (On Campus - Parkville) |
12.5 |
| FOOD90029 | Food Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
Computing and Information Systems Engineering
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| BINF90002 | Elements of Bioinformatics | Semester 1 (On Campus - Parkville) |
12.5 |
| COMP90007 | Internet Technologies |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| COMP90014 | Algorithms for Functional Genomics | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| COMP90016 | Computational Genomics | Semester 1 (On Campus - Parkville) |
12.5 |
| COMP90017 | Sensor Networks and Applications | Not available in 2017 | 12.5 |
| COMP90018 | Mobile Computing Systems Programming | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90019 | Distributed Computing Project |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
| COMP90020 | Distributed Algorithms | Semester 1 (On Campus - Parkville) |
12.5 |
| COMP90024 | Cluster and Cloud Computing | Semester 1 (On Campus - Parkville) |
12.5 |
| COMP90025 | Parallel and Multicore Computing | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90038 | Algorithms and Complexity |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| COMP90041 | Programming and Software Development |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| COMP90042 | Web Search and Text Analysis | Semester 1 (On Campus - Parkville) |
12.5 |
| COMP90043 | Cryptography and Security | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90044 | Research Methods | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90045 | Programming Language Implementation | Semester 1 (On Campus - Parkville) |
12.5 |
| COMP90046 | Constraint Programming | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90048 | Declarative Programming | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90049 | Knowledge Technologies |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| COMP90050 | Advanced Database Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| COMP90051 | Statistical Machine Learning | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90054 | AI Planning for Autonomy | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90057 | Advanced Theoretical Computer Science | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90058 | |||
| GEOM90018 | Spatial Databases | Semester 1 (On Campus - Parkville) |
12.5 |
| GEOM90042 | Spatial Information Programming | Semester 1 (On Campus - Parkville) |
12.5 |
| INFO90001 | eHealth & Biomedical Informatics Methods | Semester 2 (On Campus - Parkville) |
12.5 |
| INFO90002 | Database Systems & Information Modelling |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ISYS90026 | Fundamentals of Information Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ISYS90031 | Research Methods in Information Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| ISYS90032 | Emerging Technologies and Issues |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ISYS90034 | B2B Electronic Commerce | Semester 2 (On Campus - Parkville) |
12.5 |
| ISYS90035 | Knowledge Management Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| ISYS90036 | Enterprise Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| ISYS90037 | Managing IS Projects: People & Politics | Not available in 2017 | 12.5 |
| ISYS90038 | IS Strategy and Governance |
March (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ISYS90040 | Managing Change for IS Professionals | Semester 2 (On Campus - Parkville) |
12.5 |
| ISYS90043 | Enterprise Applications & Architectures |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ISYS90045 | Professional IS Consulting |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ISYS90048 | Managing ICT Infrastructure |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ISYS90049 | Business Analysis Modelling and Design |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ISYS90050 | IT Project and Change Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ISYS90051 | Impact of Digitisation |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ISYS90052 | Managing Large Projects | Not available in 2017 | 12.5 |
| ISYS90055 | Managing IT Outsourcing | Semester 2 (On Campus - Parkville) |
12.5 |
| ISYS90068 | |||
| ISYS90069 | eHealth & Biomedical Informatics Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| ISYS90076 | IT Infrastructure for eHealth | Semester 1 (On Campus - Parkville) |
12.5 |
| ISYS90077 | EHealth Applications and Solutions | Semester 1 (On Campus - Parkville) |
12.5 |
| ISYS90078 | Health Data, Information and Knowledge | Semester 2 (On Campus - Parkville) |
12.5 |
| ISYS90085 | Interaction Design and Usability | Semester 2 (On Campus - Parkville) |
12.5 |
| ISYS90086 | Data Warehousing | Summer Term (On Campus - Parkville) |
12.5 |
| SKIL90004 | Project Management in Science | Semester 1 (On Campus - Parkville) |
12.5 |
| SWEN90002 | Engineering for Internet Applications | Not available in 2017 | 12.5 |
| SWEN90004 | Modelling Complex Software Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| SWEN90006 | Software Testing and Reliability | Semester 2 (On Campus - Parkville) |
12.5 |
| SWEN90007 | Software Design and Architecture | Semester 2 (On Campus - Parkville) |
12.5 |
| SWEN90009 | Software Requirements Analysis | Semester 1 (On Campus - Parkville) |
12.5 |
| SWEN90010 | High Integrity Systems Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
| ISYS90070 | Information Security Consulting | Not available in 2017 | 12.5 |
Infrastructure Engineering
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| CVEN90016 | Concrete Design and Technology | Semester 2 (On Campus - Parkville) |
12.5 |
| CVEN90017 | Earthquake Resistant Design of Buildings | Semester 1 (On Campus - Parkville) |
12.5 |
| CVEN90018 | Structural Dynamics and Modelling | Semester 2 (On Campus - Parkville) |
12.5 |
| CVEN90019 | Sustainable Water Resources Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| CVEN90024 | High Rise Structures | Semester 1 (On Campus - Parkville) |
12.5 |
| CVEN90026 | Extreme Loading of Structures | Semester 1 (On Campus - Parkville) |
12.5 |
| CVEN90027 | Geotechnical Applications | Semester 2 (On Campus - Parkville) |
12.5 |
| CVEN90035 | Structural Theory and Design 3 | Semester 2 (On Campus - Parkville) |
12.5 |
| CVEN90043 | Sustainable Infrastructure Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
| CVEN90044 | Engineering Site Characterisation | Semester 1 (On Campus - Parkville) |
12.5 |
| CVEN90048 | Transport Systems | Semester 2 (On Campus - Parkville) |
12.5 |
| CVEN90050 | Geotechnical Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
| ENEN90005 | Environmental Management ISO 14000 | Semester 2 (On Campus - Parkville) |
12.5 |
| ENEN90006 | Solid Wastes to Sustainable Resources | Semester 1 (On Campus - Parkville) |
12.5 |
| ENEN90011 | Energy Efficiency Technology | Semester 2 (On Campus - Parkville) |
12.5 |
| ENEN90014 | Sustainable Buildings | September (On Campus - Parkville) |
12.5 |
| ENEN90027 | Energy for Sustainable Development | Semester 1 (On Campus - Parkville) |
12.5 |
| ENEN90028 | Monitoring Environmental Impacts | Semester 2 (On Campus - Parkville) |
12.5 |
| ENEN90029 | Water and Waste Water Management | Semester 2 (On Campus - Parkville) |
12.5 |
| ENEN90030 | Groundwater Hydrology | Semester 2 (On Campus - Parkville) |
12.5 |
| ENEN90031 | Quantitative Environmental Modelling | Semester 1 (On Campus - Parkville) |
12.5 |
| ENEN90032 | Environmental Analysis Tools | Semester 2 (On Campus - Parkville) |
12.5 |
| ENEN90033 | Solar Energy | Semester 1 (On Campus - Parkville) |
12.5 |
| ENEN90034 | Environmental Applied Hydrology | Semester 1 (On Campus - Parkville) |
12.5 |
| ENGM90006 | Engineering Contracts and Procurement | Semester 2 (On Campus - Parkville) |
12.5 |
| ENGM90007 | Project Management Practices | Semester 1 (On Campus - Parkville) |
12.5 |
| ENGR90026 | Engineering Entrepreneurship | Semester 2 (On Campus - Parkville) |
12.5 |
| GEOM90005 | Remote Sensing | Semester 2 (On Campus - Parkville) |
12.5 |
| GEOM90006 | Spatial Analysis | Semester 2 (On Campus - Parkville) |
12.5 |
| GEOM90007 | Spatial Visualisation | Semester 2 (On Campus - Parkville) |
12.5 |
| GEOM90008 | Foundations of Spatial Information |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| GEOM90015 | Spatial Data Infrastructure | July (On Campus - Parkville) |
12.5 |
| GEOM90016 | Advanced Topics in GIScience | Semester 1 (On Campus - Parkville) |
12.5 |
| GEOM90018 | Spatial Databases | Semester 1 (On Campus - Parkville) |
12.5 |
| GEOM90033 | Satellite Positioning Systems | Semester 2 (On Campus - Parkville) |
12.5 |
| GEOM90038 | Advanced Imaging | Semester 1 (On Campus - Parkville) |
12.5 |
| GEOM90039 | Advanced Surveying and Mapping | Summer Term (On Campus - Parkville) |
12.5 |
| GEOM90040 | Mathematics of Spatial Information | Semester 2 (On Campus - Parkville) |
12.5 |
| GEOM90041 | Cadastral Surveying | Not available in 2017 | 12.5 |
| GEOM90042 | Spatial Information Programming | Semester 1 (On Campus - Parkville) |
12.5 |
Mechanical Engineering
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ELEN90064 | Advanced Control Systems | Semester 2 (On Campus - Parkville) |
12.5 |
| ENGR90019 | Adv Topics in Fluid Mechanics | Not available in 2017 | 12.5 |
| ENGR90020 | Adv Topics in Biomechanics | Not available in 2017 | 12.5 |
| ENGR90024 | Computational Fluid Dynamics | Semester 1 (On Campus - Parkville) |
12.5 |
| ENGR90026 | Engineering Entrepreneurship | Semester 2 (On Campus - Parkville) |
12.5 |
| MCEN90017 | Advanced Motion Control | Semester 1 (On Campus - Parkville) |
12.5 |
| MCEN90018 | Advanced Fluid Dynamics | Semester 1 (On Campus - Parkville) |
12.5 |
| MCEN90019 | Advanced Thermodynamics | Semester 2 (On Campus - Parkville) |
12.5 |
| MCEN90020 | Advanced Materials | Semester 2 (On Campus - Parkville) |
12.5 |
| MCEN90023 | Quality and Reliability | Semester 1 (On Campus - Parkville) |
12.5 |
| MCEN90027 | |||
| MCEN90028 | Robotics and Automation Systems | Semester 2 (On Campus - Parkville) |
12.5 |
| MCEN90029 | Advanced Solid Mechanics | Semester 1 (On Campus - Parkville) |
12.5 |
| MCEN90031 | Applied High Performance Computing | Semester 2 (On Campus - Parkville) |
12.5 |
| MCEN90032 | Sensor Systems | Semester 2 (On Campus - Parkville) |
12.5 |
| ENGM90015 | Management and Leadership for Engineers | Semester 1 (On Campus - Parkville) |
12.5 |
Graduate School of Science
School of Botany
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| BIOL90001 | Microscopy for Biological Sciences | Semester 1 (On Campus - Parkville) |
12.5 |
School of Chemistry
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| CHEM90009 | Chemical Synthesis & Characterisation 1 | Semester 1 (On Campus - Parkville) |
12.5 |
| CHEM90010 | Advanced Chemical Applications 1 | July (On Campus - Parkville) |
12.5 |
| CHEM90017 | Chemical Synthesis & Characterisation 2 | Semester 1 (On Campus - Parkville) |
12.5 |
| CHEM90018 | Advanced Chemical Applications 2 | July (On Campus - Parkville) |
12.5 |
Department of Mathematics and Statistics
Students are permitted to undertake the Department of Mathematics and Statistics, Masters level Mathematics and Statistics subjects listed below.
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| MAST90011 | Mathematical Biology | Not available in 2017 | 12.5 |
| MAST90012 | Measure Theory | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90013 | Network Optimisation | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST90014 | Optimisation for Industry | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90017 | Representation Theory | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST90019 | Random Processes | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST90020 | Functional Analysis | Not available in 2017 | 12.5 |
| MAST90023 | Algebraic Topology | Not available in 2017 | 12.5 |
| MAST90025 | Commutative and Multilinear Algebra | Not available in 2017 | 12.5 |
| MAST90026 | Computational Differential Equations | Not available in 2017 | 12.5 |
| MAST90027 | The Practice of Statistics | Not available in 2017 | 12.5 |
| MAST90029 | Differential Topology and Geometry | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90030 | Advanced Discrete Mathematics | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST90031 | Enumerative Combinatorics | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90045 | Systems Modelling and Simulation | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90050 | Scheduling and Optimisation | Not available in 2017 | 12.5 |
| MAST90051 | Mathematics of Risk | Not available in 2017 | 12.5 |
| MAST90053 | Experimental Mathematics | Not available in 2017 | 12.5 |
| MAST90056 | Riemann Surfaces and Complex Analysis | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST90057 | Elements of Probability | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90058 | Elements of Statistics | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST90059 | Stochastic Calculus with Applications | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90060 | Mathematical Statistical Mechanics | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90064 | Advanced Methods: Differential Equations | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90065 | Exactly Solvable Models | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST90067 | Advanced Methods: Transforms | Not available in 2017 | 12.5 |
| MAST90068 | Groups, Categories & Homological Algebra | Not available in 2017 | 12.5 |
| MAST90069 | Introduction to String Theory | Not available in 2017 | 12.5 |
| MAST90080 | Advanced Modelling: Case Studies | Not available in 2017 | 12.5 |
| MAST90081 | Advanced Probability | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90082 | Mathematical Statistics | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90083 | Computational Statistics and Data Mining | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST90084 | Statistical Modelling | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90085 | Multivariate Statistical Techniques | Semester 2 (On Campus - Parkville) |
12.5 |
School of Physics
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| PHYC90006 | Quantum and Advanced Optics | Semester 2 (On Campus - Parkville) |
12.5 |
| PHYC90007 | Quantum Mechanics | Semester 1 (On Campus - Parkville) |
12.5 |
Electrical and Electronic Engineering
Electrical and Electronic Engineering students may select subjects from the list below;
Subjects Available:
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| BMEN90004 | Advanced Neural Information Processing | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90017 | |||
| ELEN90018 | Adv Topics in Engineering Mathematics | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90022 | |||
| ELEN90026 | Introduction to Optimisation | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90027 | Linear Systems Theory | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90028 | Nonlinear Systems Theory | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90030 | Information Theory | Not available in 2017 | 12.5 |
| ELEN90031 | |||
| ELEN90071 | Auditory and Visual Processing | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90072 | |||
| ELEN90076 | Digital Image Processing | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90078 | Distributed Systems and Game Theory | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90084 | Microwave Photonics | Not available in 2017 | 12.5 |
Graduate/Postgraduate subjects NOT listed above may be selected in consultation with the student’s supervisor and are subject to the endorsement of the subject coordinator and Head of Department.
Application Procedure
Detailed information for prospective PhD students regarding the application process, including the application form is available at http://www.futurestudents.unimelb.edu.au/grad/research.
It is important to note that there is a separate application form for local and international students.
PhD applicants should discuss their research interests with a potential supervisor at the department in which they would like to enrol prior to submitting an application. The Find an Expert (http://www.findanexpert.unimelb.edu.au/) website may assist you to find an appropriate supervisor.
Prospective PhD candidates should also investigate department websites for information on current research and contact details. Department websites are easily accessed from faculty homepages (http://www.unimelb.edu.au/az/faculties.html).
Applications are accepted year-round.
Which scholarship can I apply for?
Students can find information about graduate research scholarships offered by the University of Melbourne at the Melbourne Scholarships Office (http://cms.services.unimelb.edu.au/scholarships/pgrad/).
Facilities and Supports:
The Melbourne School of Graduate Research makes available a broad range of Programs & Services (http://www.gradresearch.unimelb.edu.au/programs/) available to graduate research students.
Last updated: 21 February 2025