Course summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data. The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year on year. During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
Modules
Big Data Analytics This module aims to provide students with the core theoretical and practical background required for big data analytics and developing big data systems. It will provide you with an insight into areas of big data management and advanced analytics. You will develop in-depth practical skills through using tools and techniques from the forefront of the emerging field of data analytics. Cloud Computing This module provides an overview of cloud computing, its technologies, and building blocks. It covers topics such as data centres, virtualisation, cloud storage, and various cloud paradigms. The course discusses motivating factors, benefits, challenges, and service models. It also explores concepts related to data centre design and management. The main topics of study include the fundamental ideas behind cloud computing, data centre design principles, virtualisation techniques, resource deployment and management in the cloud, and data centre standards and energy efficiency best practices. Machine learning on Big Data This module aims to provide an understanding of the tools and techniques needed to protect computers, networks and internet sites from unauthorised intrusion. This will involve studying possible security risks and the application of appropriate technical, defensive mechanisms/tools to counteract cyber crime. Mental Wealth; Professional Life (Dissertation) In this practical project at the master’s level, students will undertake a project within the scope of the selected MSc program to develop skills relevant to a senior computing professional. Students will consider ethical, legal, social, and professional issues while conducting research, analysis, design, implementation, quality assurance, evaluation, and project management. The dissertation will require appropriate research methodologies, literature surveys, referencing, and academic writing and presentation skills. Students will also focus on self-reflection, self-awareness, and strategies to improve their mentoring skills, health, and well-being. Additionally, students will engage with real-world projects and computing professionals and develop a recent development in the field of computer science to a professional standard. Security Management This module will provide the core theoretical background necessary for ensuring the security of information systems. The module aims to extend your knowledge of systems and risks management and to identify the problems associated with security management and expand your ability to better manage security vulnerabilities and integrate security management with the rest of IT management. It provides practical experience of auditing information systems for adequate information security based on industry specific standards. IT & Internet Law This module aims to develop an understanding of legal issues raised by the increased use of communication networks, such as the Internet. In particular the module will focus on the differences and contradictions between the requirements of national, supra-national and global legislative codes.
Assessment method
You will be assessed using a mixture of practical coursework and a theory exam. Coursework can take a variety of forms, including laboratory work, data analysis and oral presentations. The Research Dissertation is assessed on a final written report, a poster presentation and a practical component. You will receive detailed feedback on all assessment outlining strengths and areas of improvement.
Entry requirements
Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of East London
Docklands Campus
4-6 University Way
Newham
E16 2RD
Course contact details
Visit our course pageApplicant Relations Team
0208 223 3333