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Data Science is an inter-disciplinary field, drawing on mathematics, statistics, and computer science, that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data Science is a significant area of growth and potential employment in Australia and the Asia-Pacific region. This course provides the necessary foundations in the disciplines of mathematics, statistics and computer science, and develops student knowledge and skills in some of the key tools and techniques relevant to data science. It also pays specific attention to ethical issues surrounding the manner in which data is gathered, stored, analysed and used.
This course information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester. In particular please check the course requirements and the unit and unit set offerings, as these differ according to course delivery location.
The final semester of the course is entirely centered on an industry relevant project or a work integrated learning (WIL) experience. By default students will be required to undertake CSI6224 Applied Project which is a 60 credit point, whole of semester capstone learning experience. Students will form into discipline related groups to scope, implement and then deliver a substantive industry relevant project that demonstrates the key aspects of their course learning outcomes. Students will work closely with academic and industry project supervisors to manage their time, project scope, quality assurance and communication between all relevant parties. Student will also have the option of a full-time semester of WIL through the unit CSI6223 Work Experience Project in their final semester of study. Students undertaking a 12 week full-time work placement will demonstrate discipline knowledge, communication and collaboration skills in addition to a proven professional work ethic whilst undertaking projects in an industry setting. The unit is designed to create an authentic learning experience in an industry setting where students can demonstrate the discipline knowledge and skills acquired throughout their degree. The underpinning learning process is that of independent learning in which aspects of the work experience are reflected upon with a view to altering future behaviour, including academic and professional capabilities. Students will undertake, and be assessed on, authentic activities through engagement with industry and community partners. Students must apply for WIL at the commencement of their second year of study and will only be considered for WIL if they have achieved a course WAM of at least 65% at the time of application. The School of Science has two WIL-officers who are responsible for establishing and maintaining relationships with prospective hosts and assisting eligible students in finding placements and preparing for them.
Students enrolled in the WIL unit CSI6223 will be expected to attend a workplace on a full-time basis for the entire teaching semester.
WIL will be undertaken by students who have been awarded a work experience placement.
English competency requirements may be satisfied through completion of one of the following:
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| CSI6208 | Programming Principles | 20 |
| MAT5212 | Biostatistics | 20 |
| MAT6105 | Mathematical Fundamentals | 20 |
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| Students who commence the course midyear will complete their second and third semesters in reverse order. | ||
| MAT6104 | Applied Multivariate Statistics | 20 |
| SCI6120 | Science Communication and Ethics | 20 |
| CSI6209 | Artificial Intelligence | 20 |
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| MAT6206 | Data Analysis and Visualisation | 20 |
| CSI6207 | Systems Analysis and Database Design | 20 |
| MAT6100 | Time Series Forecasting | 20 |
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| Research or Industry Focused Capstone Project - Default Option | ||
| CSI6224 ^ | Applied Project | 60 |
OR
Work Integrated Learning – For Approved Placements
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| CSI6223 ^ | Work Experience Project | 60 |
^ Core Option
For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.
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