The assessment structure for the data science modules offered by the Industrial Engineering department is listed below. Note: Modules offered by other departments can have a different structure. The departments which offer modules are listed in the timetable.

The data science modules will consist of five formal assessment opportunities – a pre-block assignment, a formative assessment opportunity during the lecture block week, and three post-block assignments. Each of these assessment opportunities will account for 20% of the student’s final mark. The formative assessment may consist of one or more smaller assessments which will take place during the contact session. In order to successfully pass the module, a student need to achieve a final mark of 50% or above.

The pre-block assignment will be made available to students at least two weeks before the scheduled module lectures block week. The due dates of the post-block assignments will be set to allow for 1-2 weeks per assignment.

Take note that each of the core data science modules has one pre-block assignment which will require 20-30 hours of work. The lecture block week requires your full attention for the entire week. This is followed by three post-block assignments which will require around 30 hours of work each. Students will have about six weeks to complete these post-block assignments