The online Postgraduate Award in Big Data Analytics programme consists of three modules. The first introduction module takes four weeks to complete and subsequent hands-on, practical modules take eight weeks to complete.
To provide an understanding of the core concepts related to online education with University of Liverpool Online and to help you develop the skills required for successful progression within the programme. Successful completion of this module is required to continue on to subsequent modules.
This module is intended to prepare students for successful online study as well as to ensure they understand the academic requirements associated with the programme. As a student, you will learn how to make the best use of the learning platform, to navigate the online classroom and the University of Liverpool’s online library confidently. You will also learn how to produce high quality academic work that draws on classroom materials, collaborative activities with peers and your own professional experience.
To provide a comprehensive understanding of big data tools and techniques as well as a critical understanding of an open source software framework for distributed data storage and processing. You will have the opportunity to gain a practical understanding of the issues related to the integration and deployment of big data management systems in the context of enterprise deployment.
This module provides students with detailed knowledge of big data tools and techniques, and big data management frameworks that can be used to support advanced analytics. This module will consider big data management frameworks in general, but with a focus on the Hadoop open-source data storage and processing platform and its underpinning sub-systems. It also provides detailed awareness of how big data systems support data-driven decision making.
To provide a detailed, critical understanding of the concepts of data mining, the end-to end data mining process and the ability to deploy appropriate tools and techniques in line with organisational and business requirements. As a student, you will have the opportunity to gain experience in implementing data mining algorithms and evaluating their performance.
This module provides students with an in-depth understanding of the concepts of data mining, including the end-to-end process and major data mining tools and techniques in common use. As a student, you will have the opportunity to apply such tools and techniques to a variety of example data sets so as to gain vital insights into their operation, and when and where these tools can best be applied. You will also have the opportunity, using the 'R' programming language, to implement several different kinds of data mining algorithms to gain a comprehensive understanding of their operation.