Courses / Module

• Conduct a reasonably thorough investigation into a topic of interest, importance or relevance to Data Science and Analytics.
• Work largely independently, within agreed project requirements, with minimal supervision.
• Complete a detailed project report covering all central aspects of the project and make a presentation based on the project.
• Work within all project deadlines, consultation requirements and give regular feedback to the supervisor(s).
• Work effectively on a challenging topic.
• Research alternative solutions.
• Develop and evaluate a solution, and to evaluate the process that lead to the solution.

• Module Graded (numeric value) or Ungraded (Pass/Not Passed): Graded
• Continuous Assessment detail(s): Total Marks: 100% A written dissertation plus any relevant supporting materials.

• Pass standard: 40%
• Could the result of this module be capped? No
• Penalties: Penalties: Penalties will be at the discretion of the course co-ordinator and will be announced prior to the commencement of the module.

• The student must have successfully completed their taught modules before submitting the dissertation.

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