Business Analytics and Big Data
Gold Coast, Australia
Area of Study
Taught In English
Students must have successfully completed INFT12-216 Data Science or equivalent prior to undertaking INFT12-223
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
Unprecedented volumes of data are being created on an almost daily basis, and the amount of data we generate is expected to double every two years. This Big Data has the power to change the way we work, live, and think. We are entering a new period of "datafication" - a modern technological trend turning many aspects of our life into computerised data, and transforming this data into new forms of value. This ongoing datafication of our lives will create unprecedented demand for data scientists and business people who can derive value from unstructured data to transform the world around them.Learning Objectives1. Recognise and communicate the inputs, outputs, relationships, boundaries, and data transformations of digital systems.
2. Use statistical techniques and mathematical reasoning to formulate machine learning tools for data analysis.
3. Apply the language, thinking and tools of data retrieval and manipulation to real-world problems.
4. Understand the communication framework for translating data analysis into decision making outcomes.