BSc Hons Computer Science Artificial Intelligence

The demand for qualified experts in artificial intelligence is high; AI jobs are amongst the best paid in the industry, and a solid background in AI is highly desirable in many research disciplines. In addition to the compulsory modules, you will also choose one educational stream from the options below. During your time at King’s College London, a range of academic and personal support and guidance is available to you. Find out the difference between our Computer Science BSc and Artificial Intelligence BSc undergraduate degrees at King’s.

This insight into the professional world will build on your knowledge in a real-world setting, preparing you to progress onto your chosen career. Our advanced mobile robotics and intelligent agents laboratory contains a variety of mobile robots for teaching and research. Experience working with these will enhance your professional and practical skills for the workplace. This course will introduce and investigate a number of legal and ethical issues around the ethics of technology, particularly around the ethics of artificial intelligence. We will address questions such as the moral status of artificial agents; the difference, if any, between human rights and artificial rights, problems of data bias. We will also consider the question of responsibility in this arena and review regulatory frameworks.

A cause for celebration – Computing and Digital Media Summer Show 2022

Criteria, eligibility, repayment and application information are available on the UK government website. 3 EU Other students (excludes Republic of Ireland nationals living in GB, NI or ROI) are charged tuition fees in line with international fees. This module will cover the fundamental mathematics underlying AI including probability and statistics, calculus, algebra and optimisation.

Reinforcement of foundational material is through its use in both understanding and working with a range of fundamental data structures and algorithms. More advanced features of object-orientation, such as interface inheritance, abstract classes, nested classes, functional abstractions and exceptions are covered. These allow an application-level view of design and implementation to be explored. Throughout the course, the quality of application design and the need for a professional approach to software development is emphasised. The robotics industry is wide and rapidly growing due to the large number of robotic systems and application areas. This has created a need for engineers with the required skills related to robot and robotic system design and development.

The University of Sheffield

Candidates from Latvia generally require either A levels, an IB Diploma or a recognised foundation programme qualification in order to be considered for entry to the first year of an undergraduate degree programme. Holders of the Atestats par visparejo videjo izglitibu (Certificate of General Secondary Education) are not eligible for entry to the first year of our undergraduate degree programmes. The University will consider students who have taken A Level examinations and the International Baccalaureate (IB) for entrance to undergraduate programmes. Students from Brunei will usually undertake Brunei/Cambridge GCE A level examinations or Brunei Darussalam Technical and Vocational Educational Council (BDTVEC).

We encourage collaboration, so you’ll also learn through activities with your peers, and lectures and seminars from industry experts. Our specialist facilities are perfect places to develop practical skills and get experience of working with industry-standard tools, such as VMware IT Academy and AWS. When not attending timetabled sessions, you will be expected to continue learning independently through self-study. This typically will involve reading ai engineer degree journal articles and books, working on individual and group projects, undertaking preparing coursework assignments and presentations, and preparing for final assignments. Your independent learning is supported by a range of excellent facilities including online resources, the library and CANVAS, the online virtual learning platform. Our hand-on course equips you with the Future Skills needed to thrive in the rapidly evolving technological landscape.

Education 2030

Depending on your chosen course of study, you may also be interested in one of our foundation pathways, which offer specially structured programmes for international students whose qualifications are not accepted for direct entry to UK universities. Holders of the Vitnemål for Videregående Opplaering (VVO – Upper Secondary School Leaving Certificate) with a minimum overall average score of 4/6 will be considered for entry to the first year of our undergraduate degree programmes. The syllabus spans a solid foundation in theory with a focus on mathematics, engineering, programming, machine learning and AI. Interwoven with theory is a range of practical work, enabling you to apply your knowledge and create practical solutions to problems using AI and a variety of real and simulated robots. There are a number of open access, software development and computer programming laboratories that can be used to develop systems and programmes, including database management systems such as MySQL, to name but a few. The module uses a combination of theory and practice-based sessions designed to engage students in group and individual activities to identify the components of a software program and to apply their knowledge into hands-on software programming activities.

• These include the use of biology as a source of inspiration for solving computational problems, such as developments in evolutionary algorithms and swarm intelligence.
• At the University of Birmingham our research expertise allows us to offer an unusually rich and innovative programme for undergraduate study which enables our students to leave us ready for a career path in industry or research.
• A number of universities have begun offering online classes to give students the flexibility they need to succeed.
• For admission onto an undergraduate degree programme, the University of Birmingham requires all applicants to have studied for 13 years, and therefore you may need to take a foundation year before commencing your undergraduate programme.

You’ll investigate classes of formal language and the practical uses of this theory, applying this to a series of abstract machines ultimately leading to a discussion on what computation is and what can and cannot be computed. In this module you will learn the basic principles of the object-oriented and functional approaches to programming, using the languages Java and Haskell. You will also see how they can be used in practice to write a range of different kinds of programs. You will gain a broad overview of the fundamental theories and techniques of artificial intelligence (AI). This online prospectus has been drafted in advance of the academic year to which it applies. Every effort has been made to ensure that the information is accurate at the time of publishing, but changes (for example to course content) are likely to occur given the interval between publishing and commencement of the course.

Short courses for professionals in advanced technologies

The University will consider students who have taken 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 International Academy, for entrance to undergraduate programmes. The University https://www.metadialog.com/ will consider students who have taken GCE A Level examinations, the International Baccalaureate (IB), the French Baccalaureate, or a suitable foundation programme, such as 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.

See our fees and funding page for full details of undergraduate scholarships available to Brunel applicants. Brunel’s closeness to the highest concentration of the UK’s information engineering and telecommunications industry – in London and along the M4 corridor – means our placement and careers network is second to none. We’ve a range of postgraduate taught and Masters courses similar to this one which may also be of interest. 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.

How To Apply

To apply to York, you will need to complete an online application via UCAS (the Universities and Colleges Admissions Service). After you’ve accepted your offer to study at York, we’ll confirm which pre-sessional course you should apply to via This helps to improve and modify what we do to help meet the needs of our students. To aid your learning we provide feedback on your assessments in addition to the marks you receive. Our Departmental Examinations Team is also available should you have any assessment queries.

The following are estimates for the numbers of contact hours you can expect in each year of study for the compulsory modules, based on our most recent planning. The Robotics and Artificial Intelligence MEng draws together teaching from Computer Science, AI and Electronic and Mechanical Engineering, combining theory with practical experience. Our goal is to help you become future engineers, leaders and researchers in intelligent robotics, AI, technology, engineering and finance. Robots are becoming more widely used in society, with applications ranging from agriculture through to manufacturing, with increasing interest in autonomous systems. This module will introduce students to the fundamentals of robotic systems including k… 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.

The other provides techniques and technology for building systems capable of intelligent decisions and actions. Students on this programme develop a broad range of technical skills and will study a number of topics related to information systems. This MSc programme lies within an area of growing technological change and provides advanced skills and knowledge. Our dedicated careers team brings you information, advice and guidance tailored to your specific needs. Careers advisers offer one-to-one advice appointments where you can discuss your career plans and explore your options. In addition, our employer-endorsed award-winning 

Personal Skills Award (PSA) recognises your extra-curricular activities, and provides an accredited employability programme designed to improve your career prospects.

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. We understand that you might have experienced a challenging run up to higher education and may have not met the entry requirements as listed. If this is the case don’t worry, contact us and our team of expert advisors can guide you through the next stages of application, or help you find the perfect course for your needs. You will work in a small team to produce an application in response to the needs of a third-party client. Studying Artificial Intelligence (AI) and Robotics enables you to experience a comprehensive degree in the multi-discipline areas of computing, software, robotics, autonomous vehicles (automotive) and 3D games design.

• But it’s also up to you – the more proactive you are about applying for placements, the better.
• The aim of this module is to cover fundamental mathematics for Computer Scientists.
• In this module, you will explore the full data mining lifecycle, from data pre-processing and exploratory data analysis to the application and evaluation of supervised and unsupervised machine learning algorithms.

A selection of optimisation and simulation techniques are explored in more depth using Python via active learning in computer laboratories. There is an emphasis on applying the scientific approach to practical work within this module. This module is intended to serve as an introduction to machine learning and pattern processing, but with a clear emphasis on applications. The module is themed around the notion of data as a resource; how it is acquired, prepared for analysis and finally how we can learn from it.