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MSc Artificial Intelligence

  • DeadlineStudy Details:

    MSc One year full-time / Two years full-time with one year placement / Up to two and a half years part-time

Course Description

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.

Entry Requirements

  • Applicants should have a UK honours degree (2.2 minimum) or equivalent in a technical or scientific subject* (excluding students with an initial degree in AI or data sciences disciplines);
  • Applicants with relevant employment experience or other relevant qualifications will also be considered

*including, but not limited to, sport science, biomedical sciences, environmental science, mathematics, statistics, economics, accounting, information systems, computer science, cybersecurity, software engineering and other engineering disciplines such as civil, mechanical, electronic, chemical, etc.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

You might be able to get a scholarship to help fund your studies. We award scholarships to those students who can demonstrate excellent achievement, passion and dedication to their studies.

Student Destinations

The course has been designed to be industry-fit with active engagement from local and regional commercial partners. It will develop your integral understanding of business processes, statistics, and key computer science concepts for AI and management. This will help students from a diversity of backgrounds to transition to fields where these technologies are already being applied in sectors such as retail, manufacturing, and entertainment, and there is significant potential for further uptake, for example, in pharmaceuticals, education, and transport.

Some graduates venture into other sectors and are equally successful in gaining employment because of the transferable skills gained on the course. Other graduates who enjoyed the extensively applied research element of the course and the work on the MSc project will go on to study for a PhD.

Module Details

You will study six 20 credit point (cp) modules and complete a major project. Each module will be delivered over a ten-week period with the maximum of two modules studied at the same time.

  • Foundations of AI
  • Software Engineering 1
  • Artificial Cognitive Systems
  • Fundamentals of Big Data and Infrastructure
  • Applied AI
  • Research Methods
  • Major Project

If you choose the part-time route you will study the modules are follows:

Year one

  • Term 1 – Foundations of AI
  • Term 2 – Artificial Cognitive Systems
  • Term 3 – Applied AI

Year two

  • Term 4 – Software Engineering 1
  • Term 5 – Fundamentals of Big Data and Infrastructure
  • Term 6 – Research Methods
  • Summer Term – Major Project

Nottingham Trent University

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