This module provides students with a comprehensive introduction to the theory and applications of Data Science. Throughout the module, students will learn the theory behind different data science methods and how to apply them to real-world problems. The latest cutting-edge data science technologies and necessary knowledge acting as a stepping stone to carry out research in data science are also discussed in this module.
The Dissertation is an independent study module in which students will negotiate, plan, manage and execute a programme of research and analysis. In addition, students will develop skills in critical thinking and report writing. Students will complete a research dissertation within their computing discipline.
In order to understand and make predictions researchers need to be able to not only assess, examine and interpret data, but also be able to communicate their findings in ways that conveys empirical rigor and trustworthiness. This module will set learners on the path to scientific success by supporting the development of competencies such as the formulation of research ideas, the design of research studies that enable the collection and analysis of valid data whilst operating within the parameters of ethical principles. Students will develop their analytical literacy, learn how to perform systematic and objective literature searches and reviews, to design robust methodologies and apply appropriate data analyses to test research questions. At the end of the module, students will submit a research proposal which will evidence their competency in designing a research study, and selecting an appropriate method. Students will benefit from knowledge of a number of transferable skills such as decision making, problem solving, data management, critical appraisal of written content and report writing skills.