Data Science Project Pt1 (MAST90106)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
Contact information
Semester 1
Overview
| Availability | Semester 1 |
|---|---|
| Fees | Look up fees |
This capstone project will provide the culmination of the Master of Data Science degree. It will apply the skills developed during the degree to a practical problem of relevance to science, industry, commerce or society in general. Students may work in teams or individually under only general guidance from staff members. Students will complete diaries to log their work on the project so that the extent of their contribution to group projects can be determined. In the first part of the project students will complete a literature review and a plan for their project.
Intended learning outcomes
This subject aims to provide students with:
- The ability to apply contemporary data science techniques to a practical problem.
- The ability to project manage as part of a team in order to design the program of work, complete the analysis of project results and compile the project report
- The ability to present results at a career-ready level
Generic skills
In addition to learning specific skills that will assist students in their future careers in data science, they should progressively acquire generic skills from this subject that will assist them in any future career path. These include:
- problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
- analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
- collaborative skills: the ability to work in a team;
- time management skills: the ability to meet regular deadlines while balancing competing commitments.
- the ability to work in a team environment.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| COMP90049 | Knowledge Technologies |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| MAST90104 | A First Course In Statistical Learning | Semester 2 (On Campus - Parkville) |
25 |
| INFO90002 | Database Systems & Information Modelling |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
or the equivalent of each of these subjects
Corequisites
None
Non-allowed subjects
None
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
Additional details
The assessment requirements are applicable to the entire 25 point Research Project.
- A literature review and project plan (of 5 pages) completed by the research group, due end of first semester (hurdle)
- A written report totaling 6,000 words, or equivalent completed by the research group, end of second semester (70%)
- 20 minute group oral presentation, end of second semester (30%)
Individual's contribution to the project measured by a peer assessment factor. (e.g. 0.5 for ½ contribution, 1 for full contribution). To justify the factor students will be expected to compile an individual portfolio including a journal, meeting summaries/minutes, their assigned role, and evidence of their contribution through draft reports and an assessment of the roles of others in the group.
The individual student's mark comes from the group mark multiplied by the peer assessment factor.
Last updated: 3 November 2022
Dates & times
- Semester 1
Principal coordinator James Bailey Mode of delivery On Campus (Parkville) Contact hours Up to 10 hours comprising one initial 2 hour workshop to form groups and discuss the form of the project, one 1 hour workshop on research ethics, one 2 hour workshop towards the end of the first semester to discuss the project’s progress and up to 5 hours informal contact with the subject coordinator. Total time commitment 170 hours Teaching period 26 February 2018 to 27 May 2018 Last self-enrol date 9 March 2018 Census date 31 March 2018 Last date to withdraw without fail 4 May 2018 Assessment period ends 22 June 2018 Semester 1 contact information
Time commitment details
170 hours
Last updated: 3 November 2022
Further information
- Texts
- Related Handbook entries
Last updated: 3 November 2022