MA5840 - Data Science and Strategic Decision Making for Business
|Student Contribution Band:
||College of Science and Engineering
Businesses typically collect large volumes of data with relative ease. However data
are often meaningless until they are analysed for trends, patterns and relationships
and then become useful information. This subject is designed to provide an integrated
knowledge for understanding and managing information resources, building basic business
intelligent system, interpreting business statistics, and developing practical decision
models. It will equip students with decision-making tools and illustrate their applications.
Acting on information to develop solutions and support decision-making is a key business
- critically evaluate information as an organisational resource and identify issues
in managing data/information/knowledge;
- apply graphical and numerical tools for organising, analysing, interpreting, and presenting
- design, build and test computer based models for planning, decision making and control
of business problems, Interpret model results, and make recommendations to stakeholders;
- demonstrate the ability to integrate the knowledge of data science and associated
tools with the knowledge of accounting and finance.
||24CP OF POSTGRADUATE SUBJECTS
Study Period 84
|Census Date 18-Jul-2019
||Professor Ronald White
||Ms Komal Chawla.
The student workload for this
credit point subject is approximately
- 65 hours - Online resources including readings, screencasts, embedded quizzing
- assessment and self-directed study
|Method of Delivery:
||Online - JCU
||quizzes or tests (20%); assignments (60%); computational laboratories/log book (20%).
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest