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. This course is focused on establishing a solid foundation in mathematics, statistics and computer science/programming methods/tools that are central to data science. Students who complete this course will be able to articulate directly into the second semester of the Master of Data Science course.
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.
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 |
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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