University of Technology Sydney

94697 Data Science Internship A

Requisite(s): 36100 Data Science for Innovation AND 36103 Statistical Thinking for Data Science AND 36106 Machine Learning Algorithms and Applications


Students undertake a Data Science related internship with a host organisation for approximately 100 hours of work (6cp) or 140 hour of work (8cp). This subject gives students an opportunity to apply what they have learnt from previous coursework in a real world project and experience how a data science project is conducted in a business environment.

The student must work as part of a project team in a professional environment, supervised by a representative of the host organisation (the host can be either an external industry partner or a UTS unit/faculty).

The internship project can be a research project, an analytical project of a given dataset, or providing consultation service, and can be conducted either individually or in a group.

The specific tasks, milestones, deliverables, terms and timeframe of the internship must be negotiated and agreed as a learning contract between the student and the host organisation, and approved by the subject coordinator before the project starts.

As part of the assessment, students need to report on the outcomes of their internship and their internship experience to develop an appreciation of how Data Science is applied in a workplace.

Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.