Course summary
This programme is designed for those who want to pursue a career in Artificial Intelligence (specialising in machine learning and deep learning), developing smart and insightful software agents/algorithms that can help business decision-making and strategic planning for any organisation. The programme provides students with deeper knowledge and advanced skills that will allow them to contribute to the design and development of machine learning algorithms for automation, predictive modelling, and decision-making. The programme uses a series of face-to-face lectures, hands-on workshops (using Python, Hadoop, Spark, and Matlab tools) and lab-based learning as a way of acquiring an AI knowledge base. Moreover, other teaching methods, practical sessions, seminars and reflection on work-based practice to enforce learning and professional skills are also employed.
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. 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. Intelligent Systems 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. 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.
Assessment method
All the learning outcomes of the programme are assessed through: Laboratory session portfolios Group and Individual Coursework Research dissertation Examination, Presentations, and reports Use of appropriate problem-solving skills
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
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