MSc Data Science Project

• Credit value: 60 credits at Level 7
• Convenor: Professor George Magoulas
• Assessment: a 2000-3000-word project proposal (20%) and 10,000-word project report (80%)

In the MSc project, you will be able to demonstrate your skills in organising and completing a task that goes beyond a typical coursework assignment. This includes planning and executing a major piece of programming work or an experimental campaign appropriate to the MSc Data Science programme, and presenting existing approaches in the problem area (placing your own approach in the wider technical and conceptual context).

You are encouraged to come up with your own ideas for projects. In order to arrange supervision for the project, you should discuss possible projects with the projects tutor, programme director or with the lecturer who seems the most appropriate for the topic.

Indicative syllabus

Supported by your supervisor, you will complete the main part of this module independently. A small part of this module is taught, and you will learn how to:

• formulate the objectives/aims of an MSc project
• write a project proposal
• organise and plan the project
• research literature
• write a project report.

At the end of this module, you will have acquired experience in independently:

• collecting and critically evaluating relevant research and scholarship within the field of study
• selecting and applying techniques and enquiry appropriate to the research problem (or question) addressed in the project
• communicating the above achievements in your project report
• proposing, presenting and critically evaluating a solution to the research problem addressed (or answer the research question yourself). This includes the development and demonstration of a data-processing pipeline or computational methodology (which goes beyond few lines of code) to solve a data analytics problem.