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.
|Faculty||Bond Business School|
|Study abroad||Available to Study Abroad students|
1. 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.
Students must have successfully completed INFT12-216 Data Science or equivalent prior to undertaking INFT12-223