MSc Artificial Intelligence Manchester Metropolitan University

The robotics module was something I found out whilst researching universities and realised having that in addition to the AI opens up a lot more career pathways in the future. In studying this module you will look at Machine Learning, Data Mining algorithms, Big Data Analytics and related technologies as the background to aid decision making. You will be able to build skills with the R statistical software package or you can choose to work in the Weka environment. You will look at the wider issues of working with machine learning and data mining in a business context and at the challenges presented by Big Data and Big Data Analytics.

The course includes optional support sessions provided by our Careers Service, such as Marketing Yourself delivered in Semester 1. In addition, the course includes workshops for non-technical skills, covering topics including research and study, critical-thinking and problem-solving, and Developing Effective Study Skills. The most impactful area of AI has been machine learning using neural networks. When combined with reinforcement learning, ai engineering degree these neural networks can also become autonomous agents that can, for example, learn to play games to an extraordinarily high standard. The MSc Artificial Intelligence & Applications is a conversion degree designed specifically for graduates without a computing science background. We’ve created this MSc to give you the skills you’ll need to work with big data, deep learning and techniques for creating powerful autonomous systems.

Your application

These courses can be taken to further enhance your understanding of the subject. By having a broader understanding of subject can help you to improve your professional or personal development. Dependent on a student’s choice of final year project, some additional costs may be incurred for materials to support the development and delivery of the project. David’s expertise https://www.metadialog.com/ focuses on control engineering, electrical circuit analysis, analogue electronics and hardware-based digital electronics. His research interests focus on social implications of technology and the use of AI for power systems design. Packed with state-of-the-art software and hardware resources reflecting current trends in the development of engineering subjects.

All fees quoted are for full-time courses and per academic year unless stated otherwise. Our Unibuddy ambassadors can answer all the questions you might have about courses and studying at Strathclyde, along with offering insight into their experiences of life in Glasgow and Scotland. It’s based on the Office for Artificial Intelligence’s National AI Strategy recommendations for AI Masters courses. You’ll learn not just core AI-techniques, but how to place them within a business context so as to show their value.

Learn more about this subject area

Check out the recent developments by the foremost world leader in robots; Boston Dynamics. We’re in the city centre, next to the Merchant City, both of which are great locations for sightseeing, shopping and socialising alongside your studies. All fees are in £ sterling, unless otherwise stated, and may be subject to revision. You must have an English language minimum score of IELTS 6.0 (with no component below 5.5). This module aims to ensure that you’re aware of the legal, social, ethical and professional issues commensurate with the practice of Information Systems Engineering.

The artificial intelligence industry is fast-growing and touches so many aspects of society, from business operations to our everyday lives. If you meet the academic requirements but require additional support to take your language skills to the required level, you may be able to attend one of our pre-sessional English courses. Students who successfully complete the pre-sessional course can progress onto their chosen degree course without retaking an IELTS or equivalent. Plus, you can be sure you’re learning up-to-the-minute skills from some of the UK’s leading AI academics. The Department of Computer Science and Creative Technologies at UWE Bristol is well renowned for its strong background in AI research and counts a number of internationally-recognised academics amongst its teaching team.

Current course topics include data mining, big data analytics, deep learning and natural language processing. We regularly review module content with our industry partners to ensure your acquired knowledge and skill set reflects trends and needs within professional and business communities. This introductory computer programming module provides the underpinning knowledge and practice for computing students to design, build and test software components. The module will make use of practical sessions primarily to allow you to apply programming principles and constructs in order to creatively solve problems by means of developing small programs.

For study on our Foundation and Undergraduate programmes, English language at grade C or above (or in numerical terms, grade 6 or above) in the WAEC SSCE is sufficient to meet the standard English language requirements. Holders of the Thanawiyan are not normally eligible for direct entry onto an undergraduate course without completion of a suitable foundation programme, such as one of our own foundation pathways. For study on our Foundation and Undergraduate programmes, English Language at grade C or above in the General Certificate of Education Ordinary Level is sufficient to meet the standard English language requirements. 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 programme. For study on our Foundation and Undergraduate programmes, English language at grade C/6 or above in the Botswana General Certificate of Secondary Education Examination is sufficient to meet the standard English language requirements. The University will consider students who have taken GCE A Level examinations and the International Baccalaureate (IB) for entrance to undergraduate programmes.

Support for widening participation applicants

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. We also have many open access areas where students can study together and even hire out laptops for use in these spaces and others ai engineering degree within the university. Birmingham City University is a vibrant and multicultural university in the heart of a modern and diverse city. We welcome many international students every year – there are currently students from more than 80 countries among our student community.

Students can borrow books and access online learning resources from any Queen’s library. If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100. Students should also budget between £30 to £75 per year for photocopying, memory sticks and printing charges. Teachers working on classroom-based dissertation projects may apply for the Northern Ireland Centre for Educational Research (NICER) award . The information below is intended as an example only, featuring module details for the current year of study (2023/24).

Work placements

The Imperial College London MSc in Artificial Intelligence is designed for mathematically-inclined STEM graduates, providing intensive training in programming and AI fundamentals. This programme offers technical skills and practical experience through group and individual projects. It fosters industry connections and collaborations with major technology companies.

The material is augmented with a study of biometric and security applications looking at the specific techniques employed to recognise biometric samples. This module provides an introduction to the theory and practice of database systems. It extends the study of information systems in Stage 1 by focusing on the design, implementation and use of database systems. Topics include database management systems architecture, data modelling and database design, query languages, recent developments and future prospects. Mathematical reasoning underpins many aspects of computer science and this module aims to provide the skills needed for other modules on the degree programme; we are not teaching mathematics for its own sake.

Computer Networking and Cyber Security – MSc

The programme provides students with deeper knowledge and advanced skills that will allow them to contribute to the development and design of machine learning automation and predictive modelling. The module relies on some basic knowledge of discrete mathematics and formal logics typically taught in most of the undergraduate courses in engineering and science. Although it does not require extensive programming experience beyond the first introductory course in programing, working skills in programming using general-purpose programming languages such as Java can be greatly beneficial. This module will introduce you to Big Data, the characteristics that define it, and the challenges and opportunities it presents. You will learn how cloud computing, distributed data processing frameworks, and NoSQL databases can be used to ingest, process, analyse and store massive, complex datasets. Alongside this, practical workshops will give you hand-on experience working with a wide range of real-world datasets, including unstructured text data, image data and data from Internet of Things sensor networks.

Applicants for this degree must possess a degree in mathematics, physics, or branches of engineering, economics or other disciplines with a substantial mathematics content. The MSc Artificial Intelligence prepares you for both a career in industry, and a PhD in AI and machine learning. You will be mostly based in the School of Informatics with lectures, tutorials and classes held in Appleton Tower. The building is located in the University’s Central Campus area, and provides purpose-built facilities and dedicated learning and teaching spaces. Your studies will become more focused and you will have more choice in selecting specialised courses.