Study in the discipline of Data Science is jointly offered by the School of Mathematics and Statistics in the Faculty of Science and the School of Computer Science in the Faculty of Engineering. Units of study in this major are available at standard and advanced level.
To ensure success, make sure you are aware of the required level of mathematics (assumed knowledge) for this curriculum component. Visit the mathematics learning support webpage, to understand your pathway to success, including the sequence of units you should complete and the support services available.
Data is an essential asset in many organisations as it enables informed decision making into many areas including market intelligence and science. In the major in Data Science, you will learn computational and analytical skill sets that stem from statistics and computer science, to manage, interpret, understand, analyse and derive key knowledge from the data.
You will develop critical thinking about data and its use, a deep understanding of the core technical skills required and an appreciation for the context in which that data was collected. At the 3000-level of study and beyond, you will develop the ability to understand problems from many disciplines and place a data-driven problem into an analytical framework, solve the problem through computational means, interpret the results and communicate them to clients or collaborators.
Requirements for the major and minor in Data Science are listed in the Data Science unit of study table.
Honours in Data Science may be undertaken in certain appended honours degrees. Admission requirements and unit of study information can be found on the Data Science - Honours unit of study table. Read how to apply for honours as a current student.
Honours in Data Science is available via an appended Honours. The one-year program is comprised of a total of 48-credit points distributed across four 6-credit point selective coursework units and a total of 24-credit point research project in a specialised area of Data Science. The project is conducted under the direction of a supervisor who is an expert in the selected topic and who guides the research throughout the year.
Honours is available to students who have a completed major in an area relevant to their project and have met the requirements outlined in the resolutions. Admittance into the program is determined by the Faculty of Science as well as the data science honours coordinator.
| Website | School of Mathematics and Statistics |
|---|---|
| First year enquiries | fy.maths@sydney.edu.au |
| Other UG enquiries | maths.schooloffice@sydney.edu.au |
| All enquiries | +61 2 9351 5787 |
| Major coordinator | Professor Jean Yang jean.yang@sydney.edu.au |
| Honours coordinator | Dr Clara Grazian clara.grazian@sydney.edu.au |