Computer Science Artificial Intelligence BSc Brunel University London

Full-time students must apply through the Universities & Colleges Admissions Service (UCAS). A standard undergraduate course will comprise of level 4, 5 and 6 modules – increasing as you progress through the course. 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. Dr Zhang focuses on image and video analysis and processing; semantic media analysis; content-based multimedia retrieval, annotation and classification; multimedia systems in social environments; multimedia clustering and summarisation.

• It introduces fundamental skills and knowledge that will help prepare you for professional employment or for business start-up.
• The University continually enhances our offer by responding to feedback from our students and other stakeholders, ensuring the curriculum is kept up to date and our graduates are equipped with the knowledge and skills they need for the real world.
• Studying engineering at the University of Hertfordshire will give you the tools to make real change and shape the world around you.
• We usually consider a maximum of two applications to programmes in the College of Science and Engineering as this helps ensure we make offers to as many students as possible.

This will include a consideration of wider issues and the ability to manage activities and resources, and to generate, implement and report on solutions to meet objectives. In the second year, you will consolidate your learning with four computer science modules https://www.metadialog.com/ and two artificial intelligence specific modules. The computer science modules teach advanced topics, including cyber security and software design, as well as core topics, such as object-oriented programming and database and web application development.

School of Mathematics

Skilled in cyber security, cloud computing, deep learning, natural language processing and computer vision, graduates deliver high-value software solutions for modern economy. These are just some of the key areas you will be able to apply in the wide range of artificial intelligence careers. The module is designed to introduce engineering students to key areas of financial and legal risk that engineers should be aware of in their working environment. 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.

This year also includes courses in the mathematics necessary for all areas of informatics. Each year you will have 120 credits worth of courses spread across two semesters. Some of these credits will go into compulsory courses and the remaining can be used on optional courses.

Key information

Applicants currently at school or college will be provided with advice on the process; however, applicants who have left school or who are based outside the United Kingdom may obtain information directly from UCAS. The Scholarships and Funding website lists scholarships and funding schemes available to UCL students. These may be open to all students, or restricted to specific nationalities, regions or academic department. Various funding options are available, including student loans, scholarships and bursaries. UK students whose household income falls below a certain level may also be eligible for a non-repayable bursary or for certain scholarships.

The main consideration when choosing your topic is that it must be aligned to the programme you are studying, and you should consider the relevance of this topic to your future academic or professional development. Deep learning, which is considered as the state-of-the-art in data science and AI, is inspired by the structure of human brain. Now well established and accepted in industry, deep learning provides both predictive and descriptive analytics solutions that can be ai engineering degree applied to a wide range of applications from business to scientific and governmental applications. You will also acquire new programming skills (e.g., writing server-side scripts in PHP) in order to produce applications that provide useful functionality. You will also gain practical experience in the use of web frameworks to develop web applications to enhance your employability skills. I’m a second year computer science student studying at Birmingham City University.

It is not expected that the course will cover ALL of the maths that is needed later either in terms of depth or scope. The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.

The focus is on your technical development in order you can apply learned knowledge to Level 4 modules. This module is designed to help you to acquire the skills you will need to develop and succeed both academically and as a professional practitioner. The module consolidates your learning and gears you up for successful study on your degree and later career in the field of AI and Robotics.

Commercial Computing

For Postgraduate programmes, Cameroonian nationals with a degree that was completed in English from Cameroon or another English speaking country (as on the University’s approved list) are not required to submit an English Language test. For Postgraduate programmes, Botswanan nationals with a degree from Botswana or another English speaking country (as on the University’s approved list) are not required to submit an English Language test. Our undergraduate programmes are fully accredited by the British Computer Society (BCS). Please note that the following list of modules offered may be subject to change.

We encourage collaboration, so you’ll also learn through activities with your peers, and lectures and seminars from industry experts. An interdisciplinary course with computer science that covers the fundamentals of statistics and probability, alongside advanced techniques of data analysis and uncertainty modelling, and core areas of applied mathematics. Statistics plays a vital role in global business, data analytics, healthcare modelling and artificial intelligence. If you require a Student visa and wish to study a postgraduate course on a part-time basis, please read our how to apply information for international students to ensure you have all the details you need about the application process. Our Artificial Intelligence MSc provides a solid foundation for further qualifications in professional areas that require knowledge of applied mathematics, as well as further study at PhD level. Learning about the process of extracting, acquiring and growing our knowledge has a great impact on our understanding of how human intelligence works.

This involves gaining an understanding of what Artificial Intelligence means in the context of autonomous systems, such as the key algorithms and techniques that enable rational decisions. 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. You’ll gain skills to get ahead of the AI-driven transformation in our economy and society.

We welcome applications from candidates with alternative qualifications, and from mature students. And you can join our award-winning racing team for the chance to be part of the evolution in road travel. Use our website to find information about degrees and career paths from around the world and speak directly with admissions officers at the schools and universities that interest you. Our staff have ai engineering degree written internationally acclaimed textbooks for learning programming, which have been translated into eight languages and are used worldwide. In this module you learn what is meant by neural networks and how to explain the mathematical equations that underlie them. You also build neural networks using state of the art simulation technology and apply these networks to the solution of problems.