University of East London, United Kingdom
This program is tailored for individuals aspiring to build a career in Artificial Intelligence, with a focus on specialization in machine learning and deep learning. Its goal is to equip participants with the expertise to create intelligent software agents and algorithms that contribute to effective business decision-making and strategic planning across various organizations. Participants will gain in-depth knowledge and advanced skills, enabling them to actively engage in the design and development of machine learning algorithms. These algorithms are intended for applications in automation, predictive modeling, and decision-making processes. The program adopts a comprehensive approach to learning, combining traditional face-to-face lectures with hands-on workshops utilizing tools such as Python, Hadoop, Spark, and Matlab. Additionally, lab-based learning is employed to establish a solid foundation in AI. Various teaching methods, including practical sessions, seminars, and reflection on work-based practice, are integrated to reinforce learning and cultivate professional skills.
The institution of East London is a well-known public institution in the United Kingdom that was founded in 1898. According to the QS World University Rankings, 2023, the university is ranked among the top 1000 universities in the world, with 25,195 students from 140 countries. On its two campuses, the institution offers 149 undergraduate programmes, 159 graduate programmes, and a remote learning course.
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.
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.
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.
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.
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