94689 Special Subject 1 (FTDI)

Description

This subject is intended for students in the Master of Data Science and Innovation (C04372) who are in their final stage of the course and have 2 credit points remaining to complete the course with 96 credit points. The study load of this subject is about 3-4 hours per week, or about 35 hours in total, for one assignment. It can be taken as an online self-study course or as a small project. In either case, the topic should be related to data science. Example of project: sentiment analysis of political autobiographies. Example of online self-study: data wrangling with pandas.

For the small project, an academic advisor needs to be organised by the student. Any UTS faculty, or a suitably qualified external professional can be the advisor. At the beginning of the semester, students write a one-page proposal including the assessment task, for which the academic advisor has agreed to supervise and assess the work. For the online self-study course, it should include assessment tasks with a certificate of completion.