Robotics and Artificial Intelligence MEng Prospective Students Undergraduate
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. This module provides a comprehensive overview of the methods for machine learning and data analytics suitable for use in the data analysis and Big Data Analytics. It also provides practical skills for working with various tools for data analysis and Big Data Analytics inside and outside the platform such as Python, R, Spark, etc.
- If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100.
- This module is intended to serve as an introduction to machine learning and pattern processing, but with a clear emphasis on applications.
- It covers the main steps in the process of developing such systems, from requirements analysis through to their implementation and testing.
- You can use your second application for any other Science and Engineering programme.
- Knowledge of AI solutions will enhance your job prospects with businesses such as online retailers, fintech companies, corporate enterprises, technology start-ups, electronic entertainment vendors and network service providers.
Supervised work in computer laboratories puts into practice principles you have covered in supporting lectures. Mohammed is a Senior Lecturer in Data and Information Science at the School of Computing and Digital Technology, Birmingham City University. He has been working on developing artificial intelligence tools for healthcare and life science applications since 2005. Our successful development of forensic computing has led to a specialist forensics laboratory that is fully equipped with essential hardware and software for this sensitive area of study. The laboratory includes high-spec PCs with built-in multi interface Tableau write blockers, EnCase and FTK computer forensic software and steganography detection and analysis software, to name but a few.
Electrical and Electronic Engineering MEng/BEng (Hons)
The curriculum encompasses a wide array of interdisciplinary subjects, from computational thinking to medical sciences and humanities. Courses include Automated Reasoning, Data Modeling, Machine Learning Foundations, Cognitive Robotics, and Cyber Security. The programme prepares students to comprehend and apply AI techniques in diverse real-world scenarios, fostering a comprehensive understanding of this dynamic field.
If English is not your first language, you must meet our minimum English language entry requirements. An IELTS score of 6.0 (no element below 5.5) is proof of this, and we also accept a range of equivalent qualifications. You might be interested in taking your subject interest further with postgraduate research. While studying your Computer Science with Artificial Intelligence degree with us, you’ll also have access to dedicated industry-standard facilities in a fully equipped lab running the latest software. Plus, we’re home to a Cisco Systems and a Microsoft Academy Centre, so you can rest assured knowing our university course will prepare you for a successful career in the industry.
You’ll be equipped with solid knowledge of computer science and will gain a strong understanding of theoretical and practical aspects in AI. You will also gain expertise that is in huge demand within the UK industry, and will be made competitive https://www.metadialog.com/ within a plethora of recruiting sectors in the country and beyond. Offer conditions will vary depending on the institution you are applying from. Generally, we do not accept applications from students studying at Affiliate Colleges.
Our Departmental Examinations Team is also available should you have any assessment queries. This allows you to practice different techniques, from report writing, ai engineering degree presentations and live demos to timed programming assessments and closed exams. It also means that you are not disadvantaged by being assessed in any one way.
Holders of the Sri Lankan A-Levels will be considered for undergraduate programmes as an equivalent to GCE A levels. For study on our Foundation and Undergraduate programmes English language at grade C or above in the CIE O Level or Cambridge High School Certificate is sufficient to meet the standard English language requirements. If you have obtained a 3 year diploma it is sometimes possible to gain ‘advance standing’ to the second year of some undergraduate programmes. If you have completed a 2 year certificate or diploma at a local college, you may be considered for admission to undergraduate programmes in some subjects. For study on our Foundation and Undergraduate programmes, English language at grade C or above in the Kenya Certificate of Secondary Education (KCSE) is sufficient to meet the standard English language requirements.
Do AI engineers code a lot?
Unsurprisingly, programming is an important skill for AI engineering. Specifically Python, with its wealth of libraries like TensorFlow, PyTorch, and scikit-learn, is the go-to language for building and training AI models.
In your final year, you’ll get the opportunity to complete a major ‘capstone’ project where you can apply the knowledge and skills you have acquired to a range of real issues in different contexts. This is a great way to learn and is a valuable bridge to employment or further research at masters level. In each year of your degree you will take a number of individual modules, normally valued at 15 or 30 credits, adding up to a total of 120 credits for the year.
Entry requirements during Clearing 2023
These skills and knowledge will prepare you for a wide range of career opportunities in the rapidly growing field of AI. For a student studying full time, each academic year of the programme will ai engineering degree comprise 1200 learning hours which include both direct contact hours and private study hours. The precise breakdown of hours will be subject dependent and will vary according to modules.
You will develop your programming skills in supervised lab sessions where help will be at hand should you require it. To build and text digital logic circuits and electronic circuits with a computer-based electronics simulator? Each module is assessed independently with all containing some components of continuous assessment.
Successful applicants typically hold a First-class honours degree (70% average) from a UK university, or the overseas equivalent, in a Computer Science degree with a minimum of 50% Computer Science content. 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. In this unit you’ll learn about the design and development of robotics-based systems, robots and diverse human needs eg the young, the old and disabled people. For admission to this course, you must achieve the standard College requirement in the appropriate English language qualification.
Your I-Explore module offers you choices from a range of subjects hosted outside of the department. You will be taught alongside students from other courses, with options including business, management and many more. Throughout the programme, you will attend laboratory and problem-solving classes, as well as completing project and design work. As the course progresses, you will study advanced techniques and modules; many of which draw on current research taking place in the Department. The core of this programme has been designed to give you an overview of computing.
Dr Perez-Liebana’s research is centred in the application of artificial intelligence to games, reinforcement learning and evolutionary computation. He has published more than 60 papers in leading conferences and journals with two best paper awards, a BCS Intelligence Prize, and 1,900+ citations. This stream explores the latest advances in speech and language processing technologies. Students will cover how to build systems that understand spoken or written languages; classify, analyse and generate text; sentiment analysis and information retrieval from large amounts of textual data. A table of accepted A level grade equivalents can be found below.Use this table to work out the equivalents to the A level entry requirements to your preferred course(s).
Our School of Computer Science and Electronic Engineering is one of the largest and best resourced in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment. Essex has a long-standing tradition of research into artificial intelligence. It was one of the first UK universities to house a central research activity in artificial intelligence in the Department of Computer Science (which has since become the School of Computer Science and Electronic Engineering).
Which engineering is best for AI?
Computer Science (Computer Vision, Deep Neural Networks, Machine Learning)