MBR509 - Business Analytics and Data Intelligence Issues for Research Projects

Credit points: 20

Workload: 60 contact hours

Prerequisite: None

Co-requisite: N/A

Aims & objectives

This unit explores latest approaches and research opportunities for analysing accounting data in business decision making. It will examine the advantages and disadvantages of data visualization and mining techniques as research projects. The unit will also consider ethical considerations around accounting data collection and analysis as research topics and consider how data is used to optimise business operations and development.

Learning outcomes

At the completion of this unit students should be able to:

  1. Appraise the role of business and data intelligence for organisational development and decision-making.
  2. Appraise and select techniques for data visualisation and mining to suit specific organisational contexts or problems.
  3. Apply the results of data analysis and visualisation to organisational decision making.
  4. Synthesise and justify the correct analysis techniques to support the optimisation of decision making and organisational development.

Assessment

Textbook and reference materials

David R. Anderson; Dennis J. Sweeney; Thomas A. Williams; Jeffrey D. Camm; James J. Cochran; Michael J. Fry; Jeffrey W. Ohlmann (2016) Quantitative Methods for Business, 13th Edition, Cengage Learning.

Graduate attributes

MIT is committed to ensure the course is current, practical and relevant so that graduates are “work ready” and equipped for life-long learning. In order to accomplish this, the MIT Graduate Attributes identify the required knowledge, skills and attributes that prepare students for the industry.
The level to which Graduate Attributes covered in this unit are as follows:

Ability to communicate Independent and lifelong learning Ethics Analytical and problem solving Cultural and global awareness Team work Specialist knowledge of a field of study

Legend

Levels of attainment Extent covered
The attribute is covered by theory and practice, and addressed by assessed activities in which the students always play an active role, e.g. workshops, lab submissions, assignments, demonstrations, tests, examinations.
The attribute is covered by theory or practice, and addressed by assessed activities in which the students mostly play an active role, e.g. discussions, reading, intepreting documents, tests, examinations.
The attribute is discussed in theory or practice; it is addressed by assessed activities in which the students may play an active role, e.g. lectures and discussions, reading, interpretation, workshops, presentations.
The attribute is presented as a side issue in theory or practice; it is not specifically assessed, but it is addressed by activities such as lectures or tutorials.
The attribute is not considered, there is no theory or practice or activities associated with this attribute.