Curious about studying Big Data Technologies MScat University of Westminster, London? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
Cavendish
Part Time
Sep 2026
2 Year
Recent advances in technology, along with decreasing hardware costs, led to the development and creation of smart devices and applications that pervade most aspects of daily life. The adoption and use of such technologies and applications in an ever-expanding variety of domains, including social media, entertainment, telecommunications, e-commerce, medical records and e-health, resulted in a rapid explosion in the amount and variety of generated data and to the need to store and analyse this data.The term "big data" refers to the ability of exploiting these massive amounts of extremely heterogeneous in structure and content data that are routinely generated at an unprecedented scale from an ever-expanding variety of data sources. Business and industry use their big data to extract a better understanding of their customers’ needs and behaviour, to develop targeted new products and cut operational costs. The competitive advantages and productivity gains that big data brought led to a great number of big data projects and a shortage of people with the required skills.This course is aimed at people who want to move into this rapidly expanding and exciting area; it has a strong vocational flavour as it has been designed to build your knowledge and understanding of big data systems architectures and to equip you with the range of highly marketable, hands-on skills employed by the core technologies utilised in big data projects.The course is suitable for recent graduates who wish to study for a higher qualification and/or gain technical and professional skills related to the use of big data technologies and/or data management. It's also suitable for practitioners looking to update their knowledge and technical skills in this highly prominent discipline.The course addresses technologies, advanced theories and techniques, along with their application, implementation and integration with legacy systems. You will analyse new demands and the application of technologies in the management of data and information resources, and examine big data technologies shaping the way data is now stored and utilised including the use of cloud stored massive datasets, distributed systems of an enterprise and how data utilisation can change and improve business processes.
The module discusses the advances that big data era has brought to the way data is used by organisations, it also considers issues related to data quality and effective data governance. You will learn about the impact the volume, velocity and variety of today?s enterprise data had to the way data is stored, managed and used, the technologies utilised in big data projects, the use of SQL and noSQL databases, Hadoop, MapReduce, Hive, etc.
A hands-on module with highly technical content, Data Repositories Principles and Tools covers the underlying technologies and approaches used in capturing, maintaining and modelling persistent data; it addresses practical issues related to data modelling and database design; finally, it provides practical/hands on skills by introducing the features and constructs of SQL.
Business Intelligence, Data Mining and Analytics are a set of methods and technologies that transform raw data into meaningful and useful information. A Data Warehouse is the architecture or structure that supports these activities. This module teaches students how to build Data Warehouses by understanding their structures and the concept of multi-dimensional modelling. The focus is on Data Warehouse design, multi-dimensional modelling, the integration of multi-source data and analysis, cloud-based data warehousing, NOSQL OLAP, aiming to support better business decision making.
The module consolidates and extends the knowledge students acquired in the taught part course, encourages and rewards individual inventiveness and application of effort. You?ll be required to carry out and bring to fruition a comprehensive piece of individual work on an approved topic (relevant to your course of studies) that involves research, planning, critical evaluation, reflection activities. To provide appropriate foundational knowledge to support the project development, the module includes a series of four blended learning workshops.
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