Master of Philosophy - Engineering (MR-PHILENG)
Masters (Research)Year: 2017 Delivered: On Campus (Parkville)
About this course
Coordinator
Associate Dean (Research Training)
Contact
Melbourne School of Engineering
Ground Floor, Old Engineering (Building 173)
Prospective students:
Visit: http://www.eng.unimelb.edu.au/study/degrees
Contact: Enquiry Form
Current Students:
General information: https://ask.unimelb.edu.au
Contact: rhd-eng@unimelb.edu.au
Overview
| Award title | Master of Philosophy |
|---|---|
| Year & campus | 2017 — Parkville |
| CRICOS code | 061951C |
| Fees information | Subject EFTSL, level, discipline and census date |
| Study level & type | Graduate Research |
| AQF level | 9 |
| Duration | 2 years full-time, or equivalent part-time |
The Master of Philosophy is an internationally recognised masters (by research) degree. It is designed for students to develop advanced skills in undertaking independent and sustained research. The thesis should demonstrate a critical application of specialist knowledge and should be an independent contribution to existing scholarship in the area of research.
The normal length of an Master of Philosophy thesis is 30,000-40,000 words, exclusive of words in tables, maps, bibliographies and appendices. Footnotes are included as part of the word limit.
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 individuals 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 duration of the Master of Philosophy candidature is 18 months (full-time equivalent). Extensions of up to a total of six months (full-time equivalent) may be allowed. The Research Training Scheme (RTS) is available for a maximum of two years (full-time equivalent). To be eligible to submit a thesis, students must be enrolled in their course for the minimum period of 12 months full-time equivalent.
Intake
Students may commence an MR-PHILENG (Master of Philosophy - Engineering) at any time during the year subject to prior arrangement with their nominated supervisor.
Graduate research students in the Melbourne School of Engineering are required to enrol in coursework components. Enrolment in these coursework subjects is dependent on commencement in the Master of Philosophy - 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 to enrol 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 that 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;
• Motivation and capacity to complete the course in a timely manner;
• Relevant prior research and/or professional experience;
• Referee reports.
3. The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Academic Board rules on the use of selection instruments.
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 visit: http://www.eng.unimelb.edu.au/study/research/
Inherent requirements (core participation requirements)
All Master of Philosophy candidates are required to complete the equivalent of at least six months full-time (12 months part-time) advanced study and research at 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 online supervision for graduate research 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 first six months of candidature. During this time the student is expected to interact on a regular basis with the supervisor, the department (including staff and other research students) and the University, with the aim to:
- Build the skills and knowledge necessary to carry out the proposed research program;
- Acquire an understanding of the standards and requirements for an MPhil awarded by the University;
- Make use of support programs and facilities provided by the University.
For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
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 Graduate Research Advisor and Student Equity and Disability Support.
Intended learning outcomes
On completion of the course students should be able to:
- Demonstrate advanced learning in research skills and mastery of appropriate techniques, such as the use of archival or primary evidence, analysis of data, judgment of conflicting evidence etc;
- Demonstrate specialist knowledge in the area of their research;
- Present the results of their research in publishable quality or work towards incorporating their findings in further research;
- Gain access to certain types of employment through this specialist qualification;
- Demonstrate an understanding of, and commitment to, research ethics or code of practice.
Graduate attributes
Research masters degrees at the University of Melbourne seek to develop graduates who have a capacity for defining and managing a research project characterised by originality and independence. Their training equips them for more sustained and original work at the doctoral level or for applied research positions in a wide variety of contexts.
The University expects its research Masters graduates to have the following qualities and skills:
- An ability to initiate research projects and to formulate viable research questions;
- A demonstrated capacity to design, conduct and report independent and original research on a closely-defined project;
- An ability to manage time to maximise the quality of research;
- An understanding of the major contours of international research in the research area;
- A capacity for critical evaluation of relevant scholarly literature;
- Well-developed and flexible problem-solving abilities appropriate to the discipline;
- The ability to analyse research data within a changing disciplinary environment;
- The capacity to communicate effectively the results of research and scholarship by oral and written communication;
- An understanding of and facility with scholarly conventions in the discipline area;
- A profound respect for truth and intellectual integrity, and for the ethics of research and scholarship;
- A capacity to cooperate with other researchers;
- An ability to manage information effectively, including the application of computer systems and software where appropriate to the student's field of study.
Course structure
Coursework Component
Students are required to successfully complete a minimum of two and a maximum of four coursework subjects throughout their Master of Philosophy - Engineering candidature.
Awarding of Final Mark & Grade
Students must successfully complete the required coursework component in order to be awarded the Master of Philosophy - Engineering. Where there is a coursework component the final mark and grade for the degree is the mark and grade awarded for the thesis.
Conversion to PhD
All students are required to successfully complete a minimum of two coursework subjects before they are eligible to apply to convert from the Master of Philosophy - Engineering (MR-PHILENG) to Doctor of Philosophy - Engineering (DR-PHILENG).
Subject options
All students are required to successfully complete a minimum of two and a maximum of four coursework subjects. Coursework subjects should be selected from the list below with the requires approval of the student's supervisor.
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 Master of Philosophy - 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
• Biomedical Engineering
Graduate/Postgraduate subjects NOT listed below may be selected in consultation with the student's supervisor and endorsements from the subject coordinator and Head of Department or their nominee.
Students in Electrical and Electronic Engineering must select from the Electrical and Electronic Engineering list.
Subjects Available:
Biomedical Engineering
BMEN90004 ELEN90071 BMEN90021 BMEN90012 BMEN90029 BMEN90002 BMEN90022 BMEN90011 BMEN90027
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 |
| ENGR90029 | Analysing Energy Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| FOOD90029 | Food Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
Computing and Information Systems
| 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 |
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| 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 |
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ISYS90055 | Managing IT Outsourcing | Semester 2 (On Campus - Parkville) |
12.5 |
| 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 |
| ISYS90087 | Service Management and Innovation | Semester 1 (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 |
| CVEN90061 | Freight Systems | 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 |
|---|---|---|---|
| BMEN90022 | Computational Biomechanics | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90064 | Advanced Control Systems | Semester 2 (On Campus - Parkville) |
12.5 |
| ENGM90015 | Management and Leadership for Engineers | Semester 1 (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 |
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| 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 |
| MCEN90023 | Quality and Reliability | Semester 1 (On Campus - Parkville) |
12.5 |
Graduate School of Science
BioSciences
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| SCIE90013 | Communication for Research Scientists | Semester 1 (On Campus - Parkville) |
12.5 |
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 |
| MAST90044 | Thinking and Reasoning with Data | 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 |
| MAST90101 | Introduction to Statistical Computing | Semester 1 (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 |
| ELEN90018 | Adv Topics in Engineering Mathematics | Semester 1 (On Campus - Parkville) |
12.5 |
| 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 |
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ELEN90071 | Auditory and Visual Processing | Semester 2 (On Campus - Parkville) |
12.5 |
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ELEN90076 | Digital Image Processing | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90077 | Grid Integration of Renewables | August (On Campus - Parkville) |
12.5 |
| ELEN90078 | Distributed Systems and Game Theory | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90079 | Statistical Signal Processing | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90080 | Secure Cyberphysical Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90085 | Advanced Topics in Optical Communication | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90086 | Advanced Topics in Nano-Optics | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90087 | Discrete and Network Optimisation | Semester 2 (On Campus - Parkville) |
12.5 |
Graduate/Postgraduate subjects NOT listed above may be selected in consultation with the student’s supervisor and endorsements from the subject coordinator and Head of Department or their nominee.
Application Procedure
Detailed information for prospective Master of Philosophy students regarding the application process, including the application form, is available at: http://futurestudents.unimelb.edu.au/admissions/applications/research.
Master of Philosophy 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 website may assist you to find an appropriate supervisor. Prospective Master of Philosophy candidates should also investigate department websites for information on current research and contact details. Department websites are easily accessed from the faculty homepages.
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.
Facilities and Supports:
The University makes available a broad range of Programs & Services available to graduate research students.
Last updated: 4 June 2022