Courses / Module

• Critically evaluate the role of Big Data for organisations;
• Evaluate and apply a range of statistical tools to analyse big data;
• Be capable of developing a strategy for ongoing data collection for an organisation; and
• Critically evaluate the role of the consumer in the organisation in relation to data.

• This module will be delivered by lectures along with additional reading and study materials provided by the module lecturers. Guest speakers from industry will be used to contextualise the content. It is envisaged that some of the class time will be in a computer laboratory setting. This module is delivered through four days of module content. The majority of the learning occurs in preparation for the taught element and project work that flows from the taught element. This involves individual independent study, reading and research, coupled with group work. Lectures are important signposts to learning, but are only part of the educational process at third level. The learning process has therefore been designed to provide students with two broad workload categories: a) Taught lectures with lectures exploring both required and self-directed reading material; and b) Individual reflection to develop students’ critical thinking skills. This module is structured around a series of lectures, readings, papers, case studies and video materials. All students will be encouraged to engage in class discussion in order to facilitate the formation of their critical judgments. Teaching methods will be constructivist, i.e. they will be delivered in the form of scaffolding for the learner who will be encouraged to construct their learning under guidance and with intensive participation. Please note that the number of hours for planned learning activities and independent student activities will vary from student to student, depending on their capability to absorb and apply concepts and tools, and write up work.

• Module Graded (numeric value) or Ungraded (Pass/Not Passed): Graded

• Pass standard: 40%
• Could the result of this module be capped? No
• Penalties: Students are expected to attend all lectures, seminars, and workshops. Where attendance falls below 75%, a student is deemed to have failed a module. Standard School of Business penalties apply for late submission of assignments; 10% is deducted for each 24 hours (or part thereof) that an assignment is submitted after the official submission deadline. Personal exceptional circumstances policy of the School of Business and University may apply.

• Are supplemental/resit registrations permitted? No

This timetable is not currently available, please contact the Business Department.