Masters Degree in Artificial Intelligence & Applications UK University of Strathclyde

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If you are an international student requiring a Student visa to study in the UK please see our immigration webpages for the latest Home Office guidance on English language qualifications. Home undergraduate student fees are regulated and are currently capped at £9,250 per year; any changes will be subject to changes in government policy. International fees will increase annually, by no more than 5% or RPI (Retail Price Index), whichever is the greater.

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This four-year course includes a foundation year (Year Zero), followed by a further three years of study. During your Year Zero, you study four academic subjects relevant to your chosen course as well as a compulsory English language and academic skills module. Artificial intelligence (AI) has become increasingly important in addressing complex problems faced in many different aspects of our society, including economics, business, healthcare, medicine, education and agriculture. With recent developments in AI techniques and large-scale computing infrastructure, the exploitation of big data further pushes forward on all fronts. This rapid advance leads to a growing demand for students who can understand and exploit AI. Should you wish to take a pre-sessional English course to improve your English prior to starting your degree course, you must sit the test at an approved SELT provider for the same reason.

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You will have the flexibility to focus on the areas of artificial intelligence that interest you most. The average salary for an artificial intelligence engineer in the UK is around £52,000. Salaries can be higher than £90,000 for those with lots of experience in high-level positions. Several options include studying an integrated foundation year, a year abroad or a year in industry. Part 2 requires the student to research and prepare an individual project of a substantial nature. From your first day at Birmingham to after you graduate, the Careers Network  is here to help you identify and achieve your individual career aspirations through its wide range of services.

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You will gain knowledge and skills concerning data modelling (entity-relationship models) and relational database implementation and administration (using SQL). During the journey within higher education, developing your independent study is an essential skill to support shaping the knowledge to become more useful and applied within practice. This module aims to provide you with necessary skills and tips that should support you to work independently within your discipline ai engineer degree and to successfully apply project management tools and techniques to a mini project related to your subject discipline. In your first year, you will share five out of six modules with the BSc (Hons) Computer Science course. The first year covers fundamental concepts, such as computer programming, algorithms and data structures, computer systems, website development and introductory artificial intelligence, and nurtures your creativity with an innovation project.

Object oriented programming

The project must be related to their MSc studies and the student should be able to show they can apply the latest research and developments in their project. 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.

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This module provides an introduction to machine learning techniques, ranging from supervised learning, unsupervised learning, and deep learning. Also included are the evaluation metrics and procedures of various learning methods. The module focuses on classification and regression learning tasks and their applications to real-world problems. Computers, embedded systems, and digital systems in general have become an essential part of most people’s lives, whether directly or indirectly. The aim of this module is to introduce the software and hardware underpinnings of such systems at an introductory yet challenging level suitable for future computer scientists and engineers.

Your timetable

This course will provide students of our MSc in AI with knowledge of core evaluation concepts, approaches, tools, techniques and technologies; we will also look at software testing of AI systems. Artificial Intelligence (AI) has been making headlines recently, with chatbot technologies such as ChatGPT and other advancements in automation and machine learning in healthcare, entertainment and customer service. This programme engages with all aspects of AI, from its fundamentals to the cutting-edge techniques revolutionising how we live, learn, work and socialise, to open up career opportunities in this dynamic, fast-moving field. This course is mainly assessed via coursework, but does include a small number of exams.

  • The course has also achieved partial CENG status by BCS on behalf of the Engineering Council.
  • Assessment is by a combination of coursework and end-of-year examination and details are shown in the module outlines on the web.
  • The Robotics and Artificial Intelligence MEng draws together teaching from Computer Science, AI and Electronic and Mechanical Engineering, combining theory with practical experience.
  • We’ve a range of postgraduate taught and Masters courses similar to this one which may also be of interest.
  • In the other two-thirds of your time, you can choose freely from over 20 optional modules, including some specialist AI modules such as Intelligent Robotics, Neural Computation and Advanced Natural Language Processing.
  • This module also evaluates the risks and benefits of AI adoptions in different domains.

Students will explore a range of AI techniques employed in games, how games can be used for AI research and the philosophy and science behind AI systems that take on creative responsibilities. This degree is accredited by BCS, The Chartered Institute for IT, for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. This degree is also accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council, for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer. During Welcome Week, you will be asked to choose one education stream of elective modules, according to your interests. You will gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), and Deep Reinforcement Learning (Deep RL), via regular exercises and practical labs.

Data Mining

During the module sessions you will acquire the basic skills to design and create software programs. The robotics and AI programme is delivered through a combination of lectures, student-led seminars, ai engineer degree workshops, group tutorials, practicals and technology enhanced learning. Classes are highly interactive, with the practical application of concepts a key factor, including cases drawn from real-life.

The main aim of this module is to introduce students to computer-based understanding, analysis and processing of images taken with digital camera. The module introduces various methods and algorithms that allow computers to store images, process images (e.g. enhance images), extract useful information from images, classify images, and organise image collections.. The module also aims to specify and discuss the problems of image understanding and of various computer vision applications.

Studying for a degree at the University of Nottingham will provide you with the type of skills and experiences that will prove invaluable in any career, whichever direction you decide to take. Your final degree classification will be based on marks gained for your second and subsequent years of study. You’ll produce a 15-25,000 word project report under the guidance of your supervisor, who you will meet with for an hour each week. An overview of the field of human computer interaction which aims to understand people’s interactions with technology and how to apply this knowledge in the design of usable interactive computer systems. You’ll cover the following basic concepts in mathematics which are of relevance to the development of computer software. This course aims to equip graduates with the skills and knowledge necessary to succeed in a range of careers such as Data Science, Data Analytics, Machine Learning Engineering, AI Engineering, and many more in a wide range of industries.

We 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. We will consider students who have taken GCE A Level examinations, the International Baccalaureate (IB), or a suitable foundation programme, such as the Birmingham International 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 the Foundation Pathways at the BIA, 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 own foundation pathways, for entrance to onto our undergraduate programmes.

This module aims to give you an understanding of the challenges posed by big data, an understanding of the key algorithms and techniques which are embodied in data analytics, and exposure to a number of different big data technologies and techniques. The curriculum comprises 180 credits, with one credit being equal to ten hours of student learning. The curriculum includes 60 credits in Semester 1, 60 credits in Semester 2, and a 60-credit project that typically runs from May to August.

The module will draw directly on practical issues of budgeting, raising finance, assessing financial risks and making financial decisions in the context of engineering projects and/or product development. Through a series of parallel running lectures in the two disciplines, the module will provide a working knowledge of the two areas and how they impinge on engineering practice. There will be a heavy emphasis on group working, report writing and presentation as part of the assessment supplemented by online exercises and an individual portfolio. This module will introduce NoSQL databases and distributed data storage frameworks through practice based activities.

Top Tech Companies are Hiring These Data Science Roles – Analytics Insight

Top Tech Companies are Hiring These Data Science Roles.

Posted: Tue, 19 Sep 2023 11:32:51 GMT [source]

Students may incur costs for external storage media, such as USB or HDD drives. Level 5 students are encouraged to attend events as part of the Industry and Community Engagement unit  – this may incur some travel costs. The annual charge is identified for every year and there is an option to take course membership, which costs £20 for one year and £30 for four years. T level – Overall grade Merit in Digital Production, Design and Development or Digital Business Services. Applicants with T level in Digital Support Services or Science will be considered on a case-by-case basis. The Research in Computing option cluster offers you the opportunity to engage with the Department of Computing and Mathematics’ Centre for Advanced Computational Science, by choosing an option which relates to one of the centre’s main themes.

Do I need physics to study AI?

A lot of the programming done and models created are based upon principles rooted in physics, which would allow you to get involved in this area of robotics and AI as well. Robotics and AI is a rapidly growing industry, and a physics degree will put you in a good position to pursue opportunities in the sector.

What degree is required for AI?

Bachelor's degree in a field related to AI, such as data science, computer science, IT or statistics. Master's degree (though not typically required) in such disciplines as data science, mathematics, cognitive science or computer science. Enrollment in additional AI-related courses and certification programs.

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