MSc Artificial Intelligence
Over the next ten years, artificial intelligence (AI) is expected to create new jobs, improve productivity, help tackle climate change and deliver better public services. The UK government are also heavily investing in AI growth through its AI Sector Deal.
In this course, you'll learn how to deploy, manage, and maintain AI technologies within the business value chain. You will gain the skills to work as part of an interdisciplinary team that include AI expert practitioners, who will be tasked with designing and developing systems that meet business requirements.
When you graduate, you will understand AI principles, concepts, techniques and methods to support the integration of fully developed AI technologies into existing information technology systems by adapting the existing systems to interface with the new technologies.
The course puts theory into practice through skills development relevant to the modern world, particularly the industrial application of artificial intelligence. It offers skills development as an integral part of the curriculum and as preparation for the world of work. As well as practical skills necessary for the Computing professional, with emphasis on design and development, students will develop transferable skills which will make them suitable for graduate employment in an ever-changing job market.
This course is available to students with some prior knowledge of quantitative research methods and experience in software engineering practice, for example, graduates of the Q-step Social Sciences with Quantitative Methods undergraduate degree courses who may also have software development experience through previous work.
The year-long paid work placement is an important feature of the course. It is optional, but if chosen, it will give you a distinct advantage in graduating. We have an excellent placements office to support finding a right placement opportunity for each student.
NTU is proud to announce that we have been awarded a share of £8.1 million from the government, the Office for Artificial Intelligence and the Office for Students (OfS). The funding will provide scholarships that will increase diversity and address digital skills gaps in the workforce, supporting the government’s priority to invest in AI to encourage innovation. Find out more about this scholarship.
Making our courses relevant to industry is at the heart of what we do. We are proud that technology companies support this course and our students, including offering placement opportunities.
Over the next ten years, artificial intelligence (AI) is expected to create new jobs, improve productivity, help tackle climate change and deliver better public services. The UK government are also heavily investing in AI growth through its AI Sector Deal.
In this course, you'll learn how to deploy, manage, and maintain AI technologies within the business value chain. You will gain the skills to work as part of an interdisciplinary team that include AI expert practitioners, who will be tasked with designing and developing systems that meet business requirements.
When you graduate, you will understand AI principles, concepts, techniques and methods to support the integration of fully developed AI technologies into existing information technology systems by adapting the existing systems to interface with the new technologies.
The course puts theory into practice through skills development relevant to the modern world, particularly the industrial application of artificial intelligence. It offers skills development as an integral part of the curriculum and as preparation for the world of work. As well as practical skills necessary for the Computing professional, with emphasis on design and development, students will develop transferable skills which will make them suitable for graduate employment in an ever-changing job market.
This course is available to students with some prior knowledge of quantitative research methods and experience in software engineering practice, for example, graduates of the Q-step Social Sciences with Quantitative Methods undergraduate degree courses who may also have software development experience through previous work.
The year-long paid work placement is an important feature of the course. It is optional, but if chosen, it will give you a distinct advantage in graduating. We have an excellent placements office to support finding a right placement opportunity for each student.
NTU is proud to announce that we have been awarded a share of £8.1 million from the government, the Office for Artificial Intelligence and the Office for Students (OfS). The funding will provide scholarships that will increase diversity and address digital skills gaps in the workforce, supporting the government’s priority to invest in AI to encourage innovation. Find out more about this scholarship.
Making our courses relevant to industry is at the heart of what we do. We are proud that technology companies support this course and our students, including offering placement opportunities.
