Curious about studying MSc Artificial Intelligence Technologyat Northumbria University, Newcastle? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
Northumbria University (London Campus)
Full Time
May 2028
1 Year
Artificial Intelligence solutions become an inseparable part of our lives, driving demand on the job market for AI specialists. Gartner included AI in its top strategic technology trends for 2021; according to Forbes, 84% of global business organisations believe that AI will give them a competitive advantage. MSc Artificial Intelligence Technology programme is focused on developing your abilities as a digital leader, capable of identifying and implementing technical solutions to deliver future improvements to your organisation. To accelerate your learning, you will be exposed to theories and principles relating to the design, development and testing of software using AI. Students will learn programming with R and how to conceptualise software requirements into software architectural patterns. Students will get insight into IoT peripherals, IoT data analytics and an overall grasp of how to incorporate local machine learning (ML) using Python Programming. You will also be exposed to the fundamental concepts, principles, technologies, and techniques to train and deploy distributed machine learning models using a cloud-based platform such as Google Cloud or AWS. You will be able to apply this knowledge and skills in your context, and critically analyse the implementation and make recommendations for future improvements. You will additionally develop an understanding of the typology of innovation, how firms leverage internal and external resources to compete in the digital environment, and how to plan for innovation in any organisation.
This module is designed to support your transition in the use and practice of technical language and subject-specific skills around assessments and teaching provision in your chosen subject area.
The module aims to provide you with a critical review of IoT based interconnected devices using AI functions and how this can benefit operational needs and demands to an organisation.
This module aims to enable you to undertake a substantial academic research project at the Masters level and present the results from this work in both written and oral forms. Your project itself will be a piece of independent and original research centred at the forefront of your programme discipline within the wider sphere of the computer science and digital technologies field.
In this module, you will learn about the information governance and cyber security principles that underpin the management of an organisation?s information assets. You will critically analyse the key concepts, theories, standards and frameworks of information governance and security, including risk management.
In this module, you will develop new knowledge and skills in leadership in a digital context. You will conduct a self-analysis of your own leadership and team management competencies and identify strengthens and areas of improvements.
The module aims to provide you with a critical review of the theory and practice of machine learning on the cloud platform. You will critically analyse the capabilities of machine learning and apply its methods and techniques to discover patterns for trends analysis.
This module aims to provide you with in-depth knowledge and a critical understanding of AI-based algorithms and solutions. You will learn programming with R or a similar language and learn how to conceptualise software requirements into software architectural patterns and develop software using AI.
This module is designed to ensure you have the skills and knowledge to complete a postgraduate research project, relevant to AI and related technologies and your career or future aspirations.
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