In this module, you will work on a research problem in the application of Data Science and Statistics. You will apply your understanding of the underlying concepts of Data Science and Statistics together with the methods and tools that you have learned to a problem in an applied field. The project will require understanding of the setting, a critical review of possible approaches, choice of appropriate methodology, an extended piece of data analysis and a clear and concise write up of the background, data, methodology, results and conclusions. This is an independent project, supervised by an expert from the relevant area, and culminates in writing a dissertation, describing your research and its results. Research topics can be selected from across the breadth of the application of Data Science and Statistics.
This module aims to give you in-depth experience of applying Data Science and Statistics to real-world problems, preparing you for work in a commercial setting or further post-graduate work. The module aims to build on the knowledge and skills you have acquired in the taught modules of the programme to allow you to investigate an area of particular interest to you. It aims to give you experience of many aspects of research work, including problem formulation, literature review, planning, tool development, experimentation, analysis, interpretation and presentation of results.
INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)
On successful completion of this module, you should be able to:
Module Specific Skills and Knowledge:
1 Demonstrate knowledge of a research topic of relevance to the MSc Applied Data Science and Statistics programme, acquired through a deep and self-motivated exploration of that topic;
2 Design and follow systematically the phases of research project development;
3 Apply sophisticated and appropriate analysis and development techniques at each stage of a project;
Discipline Specific Skills and Knowledge:
4 Show familiarity with the background and context of a new application area;
5 Apply methods and tools learnt in the context of other fields to the application in question;
6 Produce full documentation as appropriate to the system and research;
Personal and Key Transferable/ Employment Skills and Knowledge:
7 Conduct independent study, including library and web-based research;
8 Plan an extended project and manage time effectively;
9 Present work to a non-specialist audience; 10 Report writing and presentation.
SYLLABUS PLAN - summary of the structure and academic content of the module
