Best Master Degrees in Artificial Intelligence 2023

They range from the more theoretical (e.g., state machines, logic circuits, and von Neumann’s architecture) to the more practical (e.g., how transistors produce binary signals, operating system functions, memory management, and common hardware devices). The module also includes problem solving classes in which a guided discussion of weekly exercises is aimed at giving the student an opportunity to consolidate his/her understanding of the topics involved. Upon completion of this module, students should have a good conceptual https://www.metadialog.com/ and practical understanding of the nature and architecture of digital computer systems and their components. Our BSc Artificial Intelligence (including foundation year) course is open to Home and EU students. We will consider students who have taken GCE A Level examinations or the International Baccalaureate (IB). Holders of the Tawjihi are not normally eligible for direct entry onto our undergraduate programmes without completion of a suitable foundation programme, such as one of our foundation pathways.

We regularly review our course content, to make it relevant and current for the benefit of our students. If you can see your future self working in this area, this course aims to equip you with the knowledge and skills needed to help drive the ongoing digital revolution. The final 60-credit Project module is your opportunity to demonstrate your ability to conduct research, develop an application and use appropriate AI toolkits. You can choose an AI-focused topic from the course, or something connected to your current role or future career plans. Independent learning typically involve reading journal articles and books, working on individual and group projects, undertaking research, and preparing coursework, assignments and presentations.

Clearing entry requirements

For further information on English Language requirements please see the dedicated international entry requirements page. Candidates who do not fulfil the normal entry requirements but have extensive industrial experience in a related area are considered on an individual basis. A masters qualification typically comprises 180 credits, a PGDip 120 credits, a PGCert 60 credits, and an MFA 300 credits. Tuition fees will remain the same for each year of study provided the course is completed in the normal timeframe (no repeat years or breaks in study).

• As our degrees are taught and assessed in English, applicants must be able to prove their level of English language ability.
• The King’s Buildings campus is around 15 minutes by bus from the Central Campus.
• The move towards a digital economy creates demand for computer scientists and software engineers across a broad section of employers, so the skills you develop here will make you attractive to many organisations.
• As part of your course, you could study abroad with one of our short-term Global Experience programmes.
• However, we encourage you to apply early as we consider applications on a first come, first served basis, and may introduce an application deadline due to high demand.
• We’re also a delivery partner in the Greater Manchester AI Foundry, our region’s plan to empower businesses and organisations to take advantage of machine learning and intelligence.

This work will be reported formally in a research dissertation and also presented at a project presentation session, to which industrial representatives, students and academics are invited. The work will include an Interim report that consists of an initial survey and literature review. You will be engaged in a major piece of software development, or the design and execution of an empirical experiment.

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To find a university that meets your needs, search for your program below and contact directly the admission office of the school of your choice by filling in the lead form. Modules, reflecting the expertise of our academic staff, will enable you to develop your professional skills and specialise in such areas as image processing, artificial intelligence, robotics and data science. Our strong links with industry and academic excellence put us at the forefront of technological development. Our research not only informs the curriculum, but also provides opportunities to work on collaborative projects with industry partners.

• You can choose to study the course full-time over one year, or part-time, where you’ll complete the units over two years.
• As the head data scientist for The RAPID Project Iain created algorithms allowing for up to 12 hours advanced prediction of cardiac arrest in children.
• Working in small teams, students will go through the full project life-cycle of design, development and implementation, for a bespoke software requirement.

And don’t be scared to add in details about your social, sports or leisure interests. International and part-time students can apply online as normal using the links above. All module key texts will be in the University library, but in limited numbers. I look forward to coming back and applying the skills I’ve learnt throughout my placement and applied them within my studies. Developing computing skills in artificial intelligence tops the list of grand challenges facing British industry, which features in the government’s industrial strategy…. Thank you for giving me the practical skills and confidence to take a placement in Airbus Helicopters in Germany.

Our specialist facilities include a Cisco and AI lab, and we use tools such as Microsoft Imagine Premium and VMware IT Academy. The EPSRC Atoms to Products (A2P) CDT in Sustainable Chemistry is a four-year programme that will provide advanced training and education to students, to prepare for rewarding careers in academia, industry and related sectors. Two students have been hired to work alongside London Met lecturer Sandra Fernando on a major data analysis project, giving them real-life work experience alongside their degrees. This module will introduce students to modern statistical modelling techniques and how those techniques can be used for prediction and forecasting. Although AI does not lead to a professional qualification on its own, some of the modules included in the course curriculum provide preparation for professional qualification in related areas, such as big data management, data analytics and cyber security. The specialist modules will be assessed by two pieces of coursework, to assess your knowledge of technologies (50%) and practical ability to use tools (50%).

Recent advances exploit machine learning techniques where AI systems extract patterns from vast amounts of examples (big data) using large-scale computing infrastructure, such as the cloud. On the BSc Artificial Intelligence you’ll specialise in this rapidly evolving area of computer science. We offer an equitable and inclusive ai engineering degree approach to learning and teaching for all our students. Known as the Universal Design for Learning (UDL), our teaching approach has been recognised as sector leading. UDL means we offer a wide variety of support, facilities and technology to all students, including those with disabilities and specific learning differences.

Most of our graduates go into the field of IT/Computing, followed by Financial Services, some undertake further study (eg PhD) and others go straight into industry (for example working for IBM, BAE Systems). Get a taste ai engineering degree of university-level study on one of York’s free short courses, including our subject course, ‘Intelligent systems’. Tuition fees cover the cost of your teaching, assessments, facilities and support services.

The September 2023 intake of this course is now closed to international applicants. To illustrate how our teaching will empower you as a change maker, we’ve highlighted the key SDGs that our courses address. Led by our innovative research, our teaching ensures that all our graduates are empowered, inspired and equipped to address the key socio-political and environmental challenges facing the world. The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.

AI and Robotics

Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours. To learn the equivalent for your country, please choose it from the drop-down below. The aim of this module is to provide an up-to-date introduction to state-of-art artificial intelligence with a particular focus on the developments of the last five to ten years. The module will introduce specific methods within the scientific contexts in which AI has seen considerable progress. The module will also prepare students for the in-depth analysis of the various methods presented in the following modules in the programme.