Artificial Intelligence MSc London Metropolitan University

Strengthen your skillset by spending time in industry on a placement year, applying the skills you’ve learned throughout your academic studies in a practical, real-world environment. It’s an excellent opportunity to develop a professional career development plan and gain transferable workplace skills that can boost your employability. Your time on campus, learning through in-person teaching, is at the heart of your academic experience and the way we deliver our programmes. This is supported and further enhanced by additional engagement activities and opportunities provided online and through digital teaching materials. This blended approach seeks to ensure a positive learning and teaching student experience. As well as lots of practical experience, we’ll give you the first-rate scientific grounding you’d expect from a leading Russell Group research university.

You’ll learn how to analyse data and provide data-driven insight and information for enhanced decision-making. Dedicated teaching staff will support you and assist your development https://www.metadialog.com/ into a computer scientist of the future. We regularly host guest lectures from industry, with recent guests including Microsoft, Google, GitHub, IBM and ARM.

Academic support

From facial recognition software to self-driving cars, artificial intelligence (AI) plays a growing role. You’ll explore electronics and specialist AI topics and discover its future applications. This course will prepare you for a career in this dynamic and exciting industry. Additionally, you may often find courses that combine AI with related disciplines, such as engineering and computer science. This reflects the overlap it has with different fields, and the opportunity it provides to specialise in various areas.

They can help you improve and develop your academic skills and support you in any area of your study in one-on-one and group sessions. You’ll also have an understanding of the opportunities that AI and machine learning methods offer to any modern career, and a grounding in research and innovation methods that help you seize – or create – new opportunities throughout your career. We use the best and most current research and professional practice alongside feedback from our students to make sure course content is relevant to your future career or further studies. It’s your responsibility to search and apply for advertised placement opportunities, but you’ll be supported by academic staff and the University’s Careers and Employability Service to find a placement that is suited to you and your career ambitions. During your placement, you will have an opportunity to gain degree-relevant work experience, build your knowledge of career sectors and secure valuable employer references and industry contacts. This experience will help you to shape your career decisions and find the right path for you.

for entry in 2024

The BEng degree meets the educational requirement to become an Incorporated Engineer (IEng). As a graduate of the Robotics and Artificial Intelligence MEng, you will have key critical skills in mathematics, engineering, computer science, AI and robotics. This core technical knowledge is underpinned by your experience in project work, practically applying knowledge and communicating these through report writing and presentations. By being able to combine theory with practice, you will find yourself equipped to work in the way that engineers work on teams in the real world.

Join us for an on-campus Open Day where you’ll be able to meet us in person, hear from our trailblazing academics and explore our innovative £340m facilities. Throughout the course, you will have opportunities to interact with a curriculum that is supported by commercial and industrial content and partners. Develop a relationship with the Careers+ team and go through tailoring my CV and my cover letters with them. Because of this, I have been presented with many opportunities which they have tailored to me and my needs.

Through a two hour lecture each week, you’ll be introduced to concepts and techniques for software testing and will be given an insight into the use of artificial and computational intelligence for automated software testing. You’ll also review recent industry trends on software quality assurance and testing. This module will require some challenging programming work and assumes some basic knowledge of HTML, CSS and Javascript. Introductory tutorials will be provided to those without this prior knowledge.

During your studies, you will have access to specialist project labs, computer workstations, and online tools. You will also benefit from our strong links with local businesses through our membership of the Greater Manchester Artificial Intelligence Foundry. The 180-credit MSc award comprises four taught modules, plus a research dissertation. If you got your degree in an English speaking country or if it was taught in English, and you studied within the last five years, you might not need an English language qualification – find out more. Offer conditions will vary depending on the institution you are applying from and the degree that you study. For some institutions/degrees we will ask for different grades to above, so this is only a guide.

H6G7 MEng Electronic Engineering with Artificial Intelligence (4 Years)

In some modules students have the freedom to choose topics or datasets to work with, allowing them to explore areas relevant to their personal or professional interests. It combines problem-solving skills, practical skills like programming, and specialist knowledge on tools and techniques for creating smart algorithms and software. Artificial artificial intelligence engineer degree intelligence (AI) is a rapidly growing field within computer science, and this course will give you the skills you need to excel within it. Topics will range from real-word applications of AI to understanding the theoretical underpinnings of the subject, to creating the innovative AI-driven tools that will drive Industry 4.0.

• 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 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.
• You’ll learn not just core AI-techniques, but how to place them within a business context so as to show their value.
• We are committed to ensuring that all applicants with the potential to succeed, regardless of their background, are encouraged to apply to study with us.
• Developed in direct response to industry need this course will provide the building blocks required for you to step into a career in AI.

We may accept your English language grade from the Dutch Voorbereidend Wetenschappelijk Onderwijs (VWO) diploma if you achieved 8 (good) in English. For Postgraduate programmes Mauritian nationals with a degree from Mauritius or another English speaking country (as on the University’s approved list) are not required to submit an English Language test. SPM 1119 or GCSE/IGCSE minimum grade C may be accepted for a range of programmes with a four year validity period.

Careers and opportunities

That’s why from the beginning of your time with us you will be assigned a Personal Tutor who will remain with you throughout your studies and support your academic progress, developing your transferable skills and any welfare issues. Applicants studying A levels or the International Baccalaureate Diploma, will be eligible for direct artificial intelligence engineer degree entry if you meet your chosen programme’s entry requirements. We will consider students who have taken A Level examinations and/or the International Baccalaureate (IB) for entrance to undergraduate programmes. We will also consider students who have successfully completed a Bachelors (Honours) degree of at least two years duration.

Studying MSc Artificial Intelligence at Queen’s provides you with the building blocks required for a career in the AI sector, as a researcher or an engineer. COURSE STRUCTURE –

Through a combination of lectures, tutorials, and practical learning you will investigate the fundamentals of AI and the latest AI technologies. By familiarising yourself with the main areas of AI that are already being used in industry you will be primed to push this learning even further. With each module acting as a building block that allows you to work towards a themed research project. You will appreciate the growing demand for AI in the world and would seek to use these skills to further your career in this exciting and expanding area.