Computing

Data Science Research Methods

Module code: 970G5
Level 7 (Masters)
15 credits in autumn teaching
Teaching method: Lecture, Laboratory
Assessment modes: Coursework

The course will provide you with the practical tools and techniques required to build, analyse and interpret 'big data' datasets.

You will also be taught how to develop and test hypotheses, prepare actionable plans and present your findings. In the laboratory, you will be given real-world datasets and, as the course proceeds, apply these techniques to that data.

You will be required to address a current real-world problem, using your analysis to test hypotheses, develop an actionable plan and prepare a client presentation.

Module learning outcomes

  • Analyse real-world 'big data' datasets using appropriate state of the art tools and techniques.
  • Design testable hypotheses and apply suitable experimental methods to determine whether those hypotheses are supported by the data.
  • Evaluate the applicability of different tools and techniques for data analysis and visualisation in different scenarios.
  • Summarise an analysis of big data and apply data visualisation tools and techniques to present data in an appropriate format