Gold Coast, Australia
Area of Study
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3 - 4
Recommended U.S. Quarter Units4.5 - 6
Hours & Credits
Organisations use their data for decision support and to build data-intensive products and services. The collection of skills required by organisations to support these functions has been grouped under the term Data Science. This subject will articulate the expected output of data scientists and then equip students with the ability to deliver against these expectations. A particular focus will be given to the tools required to model, store, clean, manipulate, and ultimately extract information out of stored data. In addition, an introduction to designing and using relational database management systems (RDBMS) will be given. The concepts covered include data modelling using entity relationship modelling, implementing and using the relational model, SQL, normalisation, and integrity constraints.Learning Objectives1. To learn to recognise and communicate the inputs, outputs, relationships, boundaries, and data transformations of digital systems.2. To be able to model digital systems using ER diagrams and evaluate the implications of these models on system functionality and performance.3. To be able to apply the language, thinking and tools of data retrieval and manipulation to real-world problems.
Courses and course hours of instruction are subject to change.
Eligibility for courses may be subject to a placement exam and/or pre-requisites.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.