MSc Big Data Technologies

Computer Science and Digital Technologies

Quick info & apply now

MSc

UCAS CODE

ENTRY REQUIREMENTS

Start Date(s)

Attendance

Learning

UCAS POINTS

UCAS points will be updated soon

May 2024 September 2024

  • Full time, 1 year
  • Part time, 2 years
  • On campus
both CM2015
CM2015

Fees and Funding

Here's the fees and funding information for each year of this course

May 2024

Attendance

Fee

Note

Home
Full time, 1 year
£10,320
Per year
Part time
£1,720
Per 30 credit module
International
Full time, 1 year
£15,240
Per year
September 2024

Attendance

Fee

Note

Home
Full time, 1 year
£10,800
Per year
Part time
£1,800
Per 30 credit module
International
Full time, 1 year
£15,960
Per year

Overview

WHAT YOU'LL LEARN

MODULES

  • Core Modules
    Close

    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.

    Close

    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.

    Close

    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.

    Close

    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.

    Optional Modules
    Close

    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.

    Close

    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.

HOW YOU'LL LEARN

HOW YOU'LL BE ASSESSED

CAMPUS and FACILITIES

Docklands Campus

Docklands Campus, Docklands Campus, London, E16 2RD

WHO TEACHES THIS COURSE

The teaching team includes qualified academics, practitioners and industry experts as guest speakers. Full details of the academics will be provided in the student handbook and module guides.

YOUR FUTURE CAREER