MSc Artificial Intelligence

Computer Science and Digital Technologies

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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
  • On campus
both CM2094
CM2094
MSc with Placement Year

UCAS CODE

ENTRY REQUIREMENTS

Start Date(s)

Attendance

Learning

UCAS POINTS

UCAS points will be updated soon

May 2024 September 2024

  • Full time, 2 years
  • Part time
  • On campus
FullTime CM2095
CM2095

Fees and Funding

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

May 2024

Attendance

Fee

Note

Home
Full time 1/2 years
£10,320
Per year. Year 2 Industrial Placement Fee - £3500
Part time
£1,720
Per 30 credit module
International
Full time 1/2 years
£15,240
Per year. Year 2 Industrial Placement Fee - £3500
September 2024

Attendance

Fee

Note

Home
Full time 1/2 years
£10,800
Per year. Year 2 Industrial Placement Fee - £3500
Part time
£1,800
Per 30 credit module
International
Full time 1/2 years
£15,960
Per year. Year 2 Industrial Placement Fee - £3500

Overview

WHAT YOU'LL LEARN

MODULES

  • Core Modules
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    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.

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    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.

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    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.

    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.

  • Core Modules
    Close

    Industrial Placement

    This module aims to provide students with an opportunity to undertake a placement in a relevant industrial environment, allowing them to develop their technical and professional skills in a real work setting that complements their academic program. The main topics of study include activities such as job search, CV and interview preparation to secure a placement. Students will then complete an Industrial Placement at a sponsoring organisation, ideally tailored to their interests and aspirations while meeting the needs of employers. The emphasis is on applying existing knowledge and skills in the workplace and acquiring new professional skills that enhance their overall development. The subject discipline may vary widely, providing students with a diverse range of experiences.

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