Research Project Part 3 (MAST90118)
Graduate courseworkPoints: 25On Campus (Parkville)
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About this subject
Contact information
Semester 1 (Early-Start)
Semester 2 (Early-Start)
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
| Availability | Semester 1 (Early-Start) Semester 2 (Early-Start) |
|---|---|
| Fees | Look up fees |
In this subject, students undertake a substantial research program in the area of Mathematics and Statistics. The research will be conducted under the supervision of a member of the School's academic staff. A list of the research interests of the Department of Mathematics and Statistics is outlined on the website of the Department. The results will be reported in the form of a thesis and an oral presentation.
Intended learning outcomes
After completing this subject students should have:
- discovered the challenge of research in Mathematics and Statistics;
- a deeper knowledge of Mathematics and Statistics;
- completed a substantial piece of research; and
- a sound preparation for future research in Mathematics or Statistics.
Generic skills
Upon completion of this subject, students should gain the following generic skills:
- problem-solving skills including the ability to engage with unfamiliar problems, identify relevant solution strategies and conduct research;
- analytical skills through the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
- presentation skills, both written and oral; and
- time management skills: the ability to meet regular deadlines while balancing competing commitments.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Students must satisfy the requirements for entry into the Master of Science (Mathematics and Statistics program).
And One of:
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST90117 | Research Project Part 2 |
Semester 2 (Extended) (On Campus - Parkville)
Semester 1 (Extended) (On Campus - Parkville)
|
12.5 |
| MAST90120 | Research Project Part 2 |
Semester 1 (Extended) (On Campus - Parkville)
Semester 2 (Extended) (On Campus - Parkville)
|
25 |
Corequisites
None
Non-allowed subjects
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST90121 | Research Project Part 3 |
Semester 2 (Early-Start) (On Campus - Parkville)
Semester 1 (Early-Start) (On Campus - Parkville)
|
12.5 |
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
| Description | Timing | Percentage |
|---|---|---|
A preliminary literature survey and research plan (pass/fail)
| At the end of week eight of Research Project Part 1 | N/A |
An intermediate report on the progress in the research project (pass/fail)
| At the end of week eight of Research Project Part 2 | N/A |
A thesis is the main requirement due. Theses are expected to be 40-60 pages in length, excluding references, appendices, figures and tables. Two bound hard copies of the thesis are to be submitted two weeks prior to the end of the teaching period in the final semester of Research project enrolment
| After the full 50 points of enrolment in the Research Project component | 90% |
Students will have to give presentations on their research projects in the last week of that teaching period
| On a date to be announced by the School of Mathematics and Statistics in the middle of semester | 10% |
Additional details
The assessment requirements above are applicable to the entire 50 point Research Project.
Last updated: 3 November 2022
Dates & times
- Semester 1 (Early-Start)
Principal coordinator Diarmuid Crowley Mode of delivery On Campus (Parkville) Contact hours This subject is an individual research project and weekly contact hours will vary depending on the nature of the project. Teaching period 2 January 2020 to 7 June 2020 Last self-enrol date 10 January 2020 Census date 30 April 2020 Last date to withdraw without fail 5 June 2020 Assessment period ends 3 July 2020 Semester 1 (Early-Start) contact information
- Semester 2 (Early-Start)
Principal coordinator Diarmuid Crowley Mode of delivery On Campus (Parkville) Contact hours This subject is an individual research project and weekly contact hours will vary depending on the nature of the project. Teaching period 1 July 2020 to 1 November 2020 Last self-enrol date 10 July 2020 Census date 21 September 2020 Last date to withdraw without fail 16 October 2020 Assessment period ends 27 November 2020 Semester 2 (Early-Start) contact information
Time commitment details
Students should discuss this with their supervisor but as a guide, a student enrolled in a 50 point research project subject would be expected to be engaged in their research for an average of forty hours per week or 800 hours for the semester. Students enrolled in a 37.5, 25 or 12.5 point research subject would be expected to be engaged in their research on a pro-rata basis.
Additional delivery details
This subject is delivered either partially or fully in-person in Second Half Year 2020. Please ensure you are able to attend any essential in-person requirements or speak to Stop 1 about alternative subject options.
Last updated: 3 November 2022
Further information
- Texts
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (Mathematics and Statistics)
Last updated: 3 November 2022