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MSc Artificial Intelligence (AI) incorporates elements of the theoretical underpinnings of AI along with exposing students to the practical considerations of constructing AI software tools.
Students will study deep technical modules on topics including machine learning, computational intelligence, computer vision and big data, while studying modules on applied AI and robotics to gain an appreciation of the wide range of industrial applications AI has in the modern world.
Students will learn a variety of cutting-edge AI topics including machine learning, computational intelligence, computer vision and robotics. In all modules, there is a focus on industrial problem solving with AI, and you will complete a dissertation in which you will conduct a deep exploration of a topic of your choice. Throughout your studies you will gain practical experience of constructing AI using both existing tools and innovating new methods from first principles.
Key features
The programme has the potential for students to tailor their degree towards the industry in which they wish to apply their AI knowledge by selecting and exploring industry-relevant data sets and problems.
A combination of module types, including technical modules facilitating a deep dive of cutting-edge AI technologies and providing the experience of constructing AI software from first principles, alongside workshop modules providing insight into the field of AI as a whole. Each Semester is comprised of two technical modules and a workshop module.
An embedded research-informed teaching experience offering state-of-the-art knowledge, skills and practice, delivered by internationally recognized and world-leading academics. Students will work directly with these academics, receiving education, support and guidance from researchers at the forefront of AI research.
Excellent facilities for conducting research and project work in AI and robotics, including a range of state-of-the-art robotics laboratories, recently-updated computing facilities and the forthcoming new Engineering Design Facility, all of which provide an inclusive learning environment.
The programme incorporates a substantial element of practical and production-based work, resulting in an end product of industrial quality that solves a relevant problem. The programme’s assessment is inclusive, being completely coursework and practice-based, and providing authentic and holistic means of assessing progress.
We promote learning through practice and doing, and a prominent feature of the programme is a dissertation module that enables students to draw together the rest of their taught content to produce outputs of a professional and publishable standard.
As a result of our industrial links students have excellent employment opportunities with a wide variety of organisations. These include both providers and consumers of AI.
Entry Requirement
Academic Requirements:
A lower second class (2:2) honours degree or better in a STEM-based discipline. Applicants will need to have a sound awareness of programming and be comfortable in learning programming techniques. Applicants without any prior programming experience may be accepted subject to undertaking preparatory work prior to the start of the programme. Applicants with a lower classification, or substantial industrial experience in lieu of formal qualifications may be considered subject to interview.
A minimum IELTS English proficiency score of 6.5, with at least 5.5 in each component.
The programme adheres to the University regulations and guidelines for the Accreditation of Prior Experiential Learning (APEL) and Accreditation of Prior Certificated Learning (APCL) for Masters programmes.
Students are required to produce evidence of English language ability. This will normally be the equivalent of GCSE Grade C or above in English language or IELTS average score of 6.5 or above with at least 6.0 in the written component.
Fees
Home Fee: £9100
International Fee: £16200
Part time (Home) Fee: To be confirmed
This information was accurate on : 19/04/2021 Please contact us for more information about this courses
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