Studying online

There are now 3 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Units available in Online Restricted mode have been adapted for online study only for those students who require the unit to complete their studies and who are unable to attend campus due to COVID border closures. To be enrolled in a unit in Online Restricted mode, students should contact their Student Advising Office through askUWA and include which of the below criteria applies:

  • You are a student who is currently offshore and unable to enter Australia.
  • You are a student in Australia who is impacted by state or regional border closures.

Click on an offering mode for more details.

CITS5553 Data Science Capstone Project

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 2OnlineOnline Restricted
Semester 2UWA (Perth)Face to face
Content
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.
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.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Professor Eun-Jung Holden
Unit rules
Prerequisites:
Course Enrolment in the Master of Data Science And 24 Points of Level 4/Level 5 units
Co-requisites:
Nil
Incompatibility:
Nil
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.
  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.