Studying online
There are now 2 possible online modes for units:
Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.
Click on an offering mode for more details.
Unit Overview
- Description
This unit provides a capstone experience where students integrate and apply knowledge and skills acquired in earlier units to a substantial real-world information technology project. Students work in teams of typically four to six members, supervised by an academic and/or industry mentor. Each team is responsible for managing their project through group meetings and mentor/client meetings, submitting group deliverables against milestones, preparing the necessary design documentation, and choosing and following appropriate software processes. Individuals are expected to perform professionally in a team-based environment and reflect on their contributions to the team. A number of lectures are given to teach communication skills, principles of project management and the fundamental ethical and social principles involved in large-scale data science projects. The academic objectives of this unit are to lead students through a sizeable team-based effort to go through design, synthesis, development and deployment, the full data science practice life cycle, to better prepare them as professional data scientists.
- Credit
- 6 points
- Offering
(see Timetable) Availability Location Mode Semester 2 UWA (Perth) Face to face - Outcomes
Students are able to (1) assess the scope, dimensions, scale of effort and indicative costs of a complex data science project; (2) analyse data by carrying out exploratory data analysis; (3) build predictive or other suitable computational models for data-driven business decision making; (4) evaluate model performance against a set of standard metrics recognised by the data science community; (5) interpret model results meaningfully for effective communication with all stakeholders via written, oral and visual means; and (6) perform professionally as an individual and as part of a multidisciplinary and multicultural team.
- Assessment
Indicative assessments in this unit are as follows: (1) individual essay; (2) group project deliverable; and (3) individual project assessment. Further information is available in the unit outline.
Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.
- Unit Coordinator(s)
- Associate Professor Wei Liu
- Unit rules
- Prerequisites
- Enrolment in62530 Master of Data Science and completion of 24 points of Level 4/Level 5 units
- Contact hours
- Lectures: 10-hours
Project Mentor Sessions: 4-hours
Project: 60-hours
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
- Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.
Face to face
Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Online flexible
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times.
Online timetabled
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
Online Restricted
Not available for self-enrolment. Students access this mode by contacting their student office through AskUWA. 100% Online Unit.
NO campus face-to-face attendance. All study and assessment requirements are online only. Unit includes some timetabled activities, with a requirement for students to participate online at specific times. In exceptional cases (noted in the Handbook) students may be required to participate in face-to-face laboratory classes when a return to UWA’s Crawley campus becomes possible in order to be awarded a final grade.
External
No attendance or regular contact is required, and all study requirements are completed either via correspondence and/or online submission.
Off-campus
Regular attendance is not required, but student attends the institution face to face on an agreed schedule for purposes of supervision and/or instruction.
Multi-mode
Multiple modes of delivery. Unit includes a mix of online and on-campus study requirements. On campus attendance for some activities is required to complete this unit.