MSc in Artificial Intelligence Faculty of Engineering

ai engineering degree

The University accepts a large number of UK and International Qualifications in place of IELTS. You can find details of acceptable tests and the required grades you will need by visiting our English language requirements pages. On our MSc Artificial Intelligence course you’ll learn the real-world skills you need to start a successful career in AI. We’ll not only focus on the technical skills but also the communication skills you’ll need to present technical cases to a range of non-technical audiences. On graduation from our Artificial Intelligence Master’s course, you can expect your skills to be very much in demand.

ai engineering degree

General Studies or Critical Thinking not accepted.It is desirable, but not essential, to have some experience of writing computer programs. We may accept your English language grade from the Swiss Maturitätzeugnis / Certificat de Maturité / Attestato di Maturità (federal maturity certificate or federally-recognised cantonal maturity certificate) if you achieved 5 (gut / bien / bene) in English. We may accept your English language grade from the Norwegian Vitnemål fra den Videregående Skole if you achieved 3 in English. Students from INTI College and Prime College may be considered for direct entry to the second year of our Engineering programmes. Holders of the Malaysian Ministry of Education Matriculation Certificate in Science can be considered for entry to year one of Biosciences, Chemistry, Mathematics and Physics.

Artificial Intelligence & Applications

You will develop fundamental skills, such as learning the powerful general-purpose programming language C++, and experience in-depth study of computer networks and systems. Using artificial intelligence code, you will learn how to control advanced mobile robots in our purpose-built laboratory. Following the UK’s exit from the European Union, we ai engineering degree are offering financial support to all eligible EU students who wish to study an undergraduate or a postgraduate degree with us full-time. This bursary will be used to offset the cost of your tuition fees to bring them in-line with that of UK students. Students studying a Degree with a Foundation Year with us are not eligible for the bursary.

UCAS (Universities and Colleges Admissions Service) is a UK organisation responsible for managing applications to university and college. At Birmingham we ensure that fears about finance do not constrain prospective students from considering university and that excellence is rewarded. This Artificial Intelligence and Computer Science course is a three-year Bachelor of Science (BSc) degree, we also offer a four-year with a year in industry BSc degree version too. “The lecturers are very good at relating their research and the module which they are teaching to the real world.”

Best Universities for Artificial Intelligence in the UK

The University will consider students who have taken GCE A Level examinations, the International Baccalaureate (IB), or a suitable foundation programme, such as one of our Foundation Pathways, for entrance to undergraduate programmes. The University will consider students who have taken GCE A Level examinations, the International Baccalaureate (IB), or a suitable foundation programme, such as the Birmingham Foundation Academy, for entrance to undergraduate programmes. The University will consider students who have taken GCE A Level examinations, the International Baccalaureate (IB), or a suitable foundation programme, such as one of our Foundation Pathways, for entrance to undergraduate programmes.

The optional modules listed are those that are most likely to be available, but they may be subject to change. Study our real-world focused MSc Artificial Intelligence course and gain all the skills and experience you need to start your career in this intellectually-stimulating and fast-growing profession. To amplify your career ambition, you will need to actively dedicate time outside of your studies, whether you choose to explore placements, internships or volunteering. Or you could make a social impact by collaborating with our partner organisations through our volunteer scheme Students at the Heart of Knowledge Exchange (SHoKE). These all give you an edge, providing you with experience that you will be able to evidence on your CV and talk about in interviews. As part of your studies, the option of a placement year could see you working in industry, making contacts and building up your experience and knowledge in the kind of environment you might ultimately work in.

Information about the evidence required, acceptable qualifications and test providers can be found on our English language requirements page. You may be able to access our Student Support fund and other sources of financial support during your course. This module presents a broad overview of microsensor technologies, including the basic principles of measurement systems and the scaling effects arising from system miniaturisation. This module provides an overview of modern microfabrication technologies for the making of micro structures applicable to device engineering.

ai engineering degree

Our four year BSc Computer Science Honours degree with a specialism in Artificial Intelligence is oriented to providing computer science students with the latest techniques in Artificial Intelligence. We aim to teach people not just how to deploy cutting edge tools and techniques, but how to build the next generation of software tools that others will use. This programme aims to give a well-integrated balance of theoretical underpinnings and practical ai engineering degree experience, strongly informed by the research expertise of our academic staff. The first year will follow the common curriculum of core courses delivered to all engineering programmes (such as mathematics, dynamics, materials and thermodynamics), along with specialised courses in electronics, manufacturing and engineering skills. These provide the foundation for the study in robotics and artificial intelligence in the years to follow.

The module follows one of the two main methodologies for dealing with the phenomena of Artificial Intelligence in computer science, known as “semiotic”, “symbolic” or “logical” paradigm. In this approach, the intelligent behaviour is achieved by incorporating common sense, heuristic and expert rules of behaviour which control the programmed algorithms for information processing during their execution in real time. All three artificial intelligence fundamental modules will be assessed by combining coursework (60%) and exams (40%).

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Various probability models, including normal and binomial distributions, sampling and inference and predictive techniques are introduced. The University of Nottingham has a long tradition of AI teaching and offers both undergraduate and master’s degree programmes, which draw on a wide range of specialist AI courses across the AI curriculum. We have also funded postgraduate (inter/multidisciplinary) research opportunities on AI and AI-related topics and excel in training the next generation of AI experts and academics through  integrated research and doctoral training programmes. Students with a diverse set of backgrounds can individually focus on specific application areas, collaborate and explore wider solutions to the fundamental AI challenges enjoying our state-of-the-art facilities. The module is designed to impart essential mathematical principles and concepts of computer vision alongside its practical applications. The module encompasses core topics in image formation and low-level image processing; mid-level scene representation; model-based description and tracking.

Artificial intelligence

You will also begin learning about Artificial Intelligence and the role of machine learning. These skills are exercised in an industrial project run using the IXN framework, working with real clients from external bodies (including charities, healthcare providers and others as well as industry and those elsewhere in academia). The individual project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme.

Is AI engineering better than computer science?

The CS degree is incredibly versatile, allowing students to advance in a variety of engineering departments. Artificial Intelligence, on the other hand, focuses on a niche area of engineering and prepares students for careers in technology innovation, robotics, and autonomous vehicles.

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