Course summary
This course provides you with the computational, mathematical, and business views of cloud computing. After successfully completing the course you will be able to demonstrate knowledge and understanding of the theoretical and applied side of cloud computing. This programme is designed to give you the opportunity to:
- Plan, manage and deliver significant cloud computing-based projects, resulting in a high-quality research output through a dissertation
- Investigate and develop cloud computing projects within the confines of the ethical, social and professional context of cloud computing
- To equip you with key concepts in cloud computing; such as IAAS, PAAS & SAAS
- Gain advanced theoretical and specialist practical knowledge of progressive and emerging topics including DevOps, virtualisation, software-defined network
- Create innovative solutions through the integration of a range of standard and specialised cloud computing tools/technologies
- Develop the professional skills necessary for a senior career in the IT industry.
Modules
Artificial Intelligence & Machine Vision The main aim of this module is to provide students with conceptual knowledge in Artificial Intelligence (AI) and Machine Vision. It aims to equip students with the skills to analyse digital images and apply machine learning techniques to design and develop computing applications. The main topics of study include the history of AI, machine learning and big data, neural networks, deep learning, digital image processing in spatial and frequency domains, image restoration, compression, segmentation, and classification. Additionally, mid-level and high-level vision-related systems are explored. The module also covers ethical, legal, privacy, and social issues that arise in the context of AI applications. 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. 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. Computer Security The main aim of this module is to provide students with the knowledge and skills necessary to protect computers, networks, and internet sites from unauthorized intrusion. The module focuses on studying security risks, analysing threats, and applying appropriate defensive mechanisms and tools to counter cyber-crime. The main topics covered include computer security, risk analysis, identification, authentication, access control, cryptography, encryption, digital signatures, digital certificates, viruses, malware, intrusion detection, defensive measures, software protection, software hardening, obfuscation, and security evaluation. By exploring these topics, students will develop a comprehensive understanding of computer security and gain the ability to safeguard digital systems against potential threats. 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.
Assessment method
We'll assess you through a combination of coursework and exams. Coursework will include presentations, software demonstrations, research-based assignments and practical exercises involving system or program specification, coding and testing. You'll always receive detailed feedback outlining your strengths and how you can improve.
Entry requirements
Bachelor's degree with minimum Second Class (2:2) in Computer Science (or equivalent degree with significant maths and computing content). 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
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
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