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

The Data Science Research Project consists of 24 credit points and comprises CITS5011 Data Science Research Project Part 1, CITS5012 Data Science Research Project Part 2 and CITS5013 Data Science Research Project Part 3 that are taken over two consecutive semesters and must be completed to fulfill the requirements of the Data Science Research Project.

Students can commence the units in either semester 1 or semester 2.

CITS5011 is Part 1 of the Master of Data Science Research Project and consists the completion of a research project proposal and a literature review. After completing CITS5011 (Part 1), students are able to continue their assessment by enrolling and completing CITS5012 (Part 2) and CITS5013 (Part 3) in their second semester of the project and includes the completion of a seminar presentation, a poster and a final research project report. The research project topic may be chosen from a list of topics provided by the Department of Computer Science and Software Engineering or on a proposed topic relevant to Data Science and negotiated with the Project Supervisor.

Students are expected to conduct qualitative research work or solve important data science research problems with certain research challenges.

Credit
12 points
Offering
AvailabilityLocationMode
Not available in 2024UWA (Perth)Face to face
Outcomes

Students are able to (1) execute research methodologies and investigations to answer the research questions; (2) evaluate existing ideas, algorithms, methodologies or solutions answering the same or similar research questions; (3) justify the conclusions with systematic investigations and interpretations of results; and (4) communicate effectively in academic writing and oral presentation.

Assessment

Indicative assessments in this unit are as follows: (1) research project proposal and literature review (submitted in Part 1); (2) seminar presentation and poster; and (3) final research project report. 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)
Dr Wei Liu
Unit rules
Prerequisites
enrolment in
the Master of Data Science (62530) and completed CITS5011 Data Science Research Project Part 1
Co-requisites
CITS5012 Data Science Research Project Part 2
Incompatibility
CITS5015 Data Science Research Project Part 2
  • 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.