Computer Science with Artificial Intelligence BSc Hons 2023 24 Entry School of Computing and Digital Technology Birmingham City University

Machine learning and AI structure University of London

ai engineering degree

You will cover software development, an introduction to computer systems, web design and databases. 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. Self-funded international applicants for this course will be required to pay a deposit of £1000 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued.

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. Dr Roger Tait is an experienced software engineer with more than 15 years of service in academic research environments. He completed his PhD, in the field of Parallel Architectures, in 2007 at Nottingham Trent University. After graduating he joined the Centre of Innovation and Technology Exploitation at Nottingham Trent University as a research…

Artificial intelligence

As a student of the Department of Computer Science, you will enjoy 24-hour access to computer labs, supported by a team of systems specialists. Based in the Haslegrave Building, your studies will benefit from specialist labs for hardware and robotics work and the latest state-of-the-art equipment. On our MSc Artificial Intelligence course, you’ll study nine core units covering areas such as advanced machine learning, the ethics of artificial intelligence, knowledge representation and reasoning, and robotics science.

Is AI engineering better than computer science?

The CS degree is incredibly versatile, allowing students to advance in a variety of engineering departments. Artificial Intelligence, on the other hand, focuses on a niche area of engineering and prepares students for careers in technology innovation, robotics, and autonomous vehicles.

Recent advances in knowledge representation, pattern recognition, natural language processing and machine learning have made it possible to construct software that solves problems beyond human reach. On graduation you’ll have a wider pool of opportunities to choose from, a clear career path and a higher starting salary than average across all professions. Our Artificial Intelligence MSc degree is the ideal choice if you want to progress or start your career in the computer science, data or software engineering industry.

Artificial Intelligence MSc

From virtual open days to subject taster lectures, discover more online by registering to access our hub of past event recordings. This page is updated regularly to reflect the latest version of the curriculum. To find out about scholarships, bursaries and other funding opportunities that are available please visit our Scholarships and Bursaries section.

How to become an AI-prompt engineer, skills needed – Business Insider

How to become an AI-prompt engineer, skills needed.

Posted: Thu, 29 Jun 2023 07:00:00 GMT [source]

You will work with Big Data technologies and will examine how these can be applied in a business environment. This module introduces key concepts within the field of AI by exploring the main areas and issues, whilst considering their application specifically to the computer games discipline. Topics will include current AI techniques, programming languages used in AI, programming AI solutions for games, navigation and motion, and neural networks. Apart from learning the principles of general AI you will also become experienced in implementing Chat Bot applications.

This self-contained module will introduce conventional machine learning methods and new deep neural network development. With the understanding of the techniques, the students will gain the ability to apply and develop practical machine learning solutions for real-world applications, thus to satisfy industrial needs under different scenarios. The advanced skills and understanding you’ll develop on our MSc Artificial Intelligence course can take you into a range of exciting roles in different industries. You’ll be ideally placed to apply for specialist jobs such as AI/machine learning software engineer and AI data specialist.

ai engineering degree

International students wishing to apply to Queen’s University Belfast (and for whom English is not their first language), must be able to demonstrate their proficiency in English in order to benefit fully from their course of study or research. Non-EEA nationals must also satisfy UK Visas and Immigration (UKVI) immigration requirements for English language for visa purposes. Students are responsible for their own travel to and from university for classes. BrookesBus travel is subsidised for full-time ai engineering degree undergraduate students that are on a course with a fee of £9,250 or more, or living in an Oxford Brookes hall of residence. On successful completion of this module, you will have a deep understanding of the chosen subject matter, as well as the research methodology appropriate to the discipline. Through a written thesis and presentations at various junctures in the module, you will develop a variety of soft skills such as research literacy, clear communication and project management.

Real-Time Computing and Embedded Systems

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. In a typical 3 year, full-time course you’ll complete a variety of modules that will give you an expert knowledge of AI and Robotics, as well as transferable skills in Computing Science, making you employable within both fields. You could also have an opportunity to work on the Staffordshire Digital Innovation Partnerships programme (SDIPS). SDIP is a collaborative project between Staffordshire University and Staffordshire County Council.

We host five open days each year, usually in June, July, September, October and November. You can talk to staff and students, tour the campus and see inside the accommodation. You can apply to extend this course with a year abroad, usually between the second and third year. Popular destinations include Europe, the USA, Canada, Australia, Singapore and Hong Kong. This tells you the aims and learning outcomes of this course and how these will be achieved and assessed. At the end of your third year you will submit a written dissertation and present your findings during a poster session.

About the School

We are registered with ACT, therefore if you wish to provide your qualifications to us you can find our details on their website. For GCSE, from the lower school leaving certificate (first year of the Vitnemål), the same equivalences would apply. Applicants with a GCSE English grade 4/C equivalent or a degree from the University of Malta are exempt from taking an English proficiency test.

  • “The MSc in AI undoubtedly gives its graduates a solid foundation on which to build a career in industry or academia.”
  • Topics will include algebra, reasoning and proof, set theory, functions, statistics and computer arithmetic.
  • You will obtain a comprehensive perspective of the current developments, the needs and the potential of AI by learning about AI models, algorithms, and systems.
  • Holders of Higher Diplomas with a good performance (at least B+ or GPA 3.2 above) will be considered for entry to year 2 of relevant undergraduate degree programmes within Engineering and Computer Science.

Part of the course is dedicated to the mathematics (number theory, finite fields and elliptic curves) relevant to cryptography with techniques developed using software such as Maple. The focus will also be on the analysis, design and implementation of tools and techniques that achieve the three goals of confidentiality, integrity and authenticity in security computing. Particular focus will be on the management framework that facilitate the accomplishment of the above three goals. Importantly the module will address the ethical framework of information security, the issues around privacy and data protection and the rights of private citizens to access strong encryption. Throughout the module connections with other aspects of artificial intelligence and cybersecurity will be emphasised through the examples and case studies chosen. This module aims to prepare students to apply modern machine learning techniques to solve various real-world challenges as well as exploring state-of-the- art deep learning technology.

Computer Science BSc (Hons)

On the way, you will also learn about analysing problems, modeling solutions, and testing programs. In addition to these core skills you will consolidate your mathematical skills in order to apply them to your chosen specialism. The tables provide an indicative list of the modules that make up the course for the current academic year. Our teaching is informed by research, and modules change periodically to reflect developments in the discipline. If for any reason a module cannot be run we will advise you as soon as possible and will provide guidance on selecting an appropriate alternative module. Our first year will help you get an all-round knowledge in the field, including aspects of software development and robotic design.

ai engineering degree

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, for entrance to undergraduate programmes. The programme includes specialised, intensive training in programming and AI, with a wide choice of elective modules, a group project ai engineering degree and a large individual project. There are opportunities to do both the group and individual projects with leading companies working on applications of AI. It provides friendly and high-quality careers and recruitment guidance, including advice and sessions on job-seeking skills such as CV preparation, application forms and interview techniques.

For some institutions/degrees we will ask for different grades to above, so this is only a guide. Software Developer/Engineer, Data Scientist and Data Engineer are occupations that have seen a significant growth in demand for AI skills, according to a recent report from Lightcast. AI skills will also be integral for many ‘jobs of the future’ emerging across a diverse range of fields, including health, agriculture and the creative industries. 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.

ai engineering degree

This module aims to provide you with an in-depth understanding of the scientific and business applications of Artificial Intelligence (AI), including Natural Language Processing, face recognition, and autonomous moral machines. Through this module, you will explore both the risks and opportunities of applying AI in these domains, and develop a critical understanding of the ethical implications of AI technology. This module is an opportunity to consolidate and enrich knowledge gained during previous modules. You’ll be tasked with undertaking an individual research project in a chosen subject area that’s closely related to your field of study. It’s encouraged that you cooperate with a commercial, research or industrial organisation to help provide an appropriately focused perspective on the project.

ai engineering degree

So not only do you graduate with a degree recognised from a world leading university, you’ll have practical national and international experience plus a wider exposure to life overall. This module will mainly cover modern approaches to natural language processing (NLP), including various deep neural networks (DNNs) for NLP, current topics of NLP. This module will cover different types of machine learning and various algorithms of each type. By the end of the module, you will be able to create and evaluate AI software solutions, using transferable skills to document, report, and analyse your work. You will also gain experience working collaboratively in small groups to analyse AI software applications, and develop a strong awareness of the ethical issues related to the application of AI technologies.

You might decide to stay at ARU and study for a Masters, such as continuing further with AI with our MSc Artificial Intelligence and Big Data or MSc Artificial Intelligence with Cybersecurity. Accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer. Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional. Our degree course, accredited by both BCS, The Chartered Institute for IT, and IET (The Institution of Engineering and Technology), will help you stand out to employers in a range of industries, both in the UK and overseas. Once you graduate, you’ll be able to register as an Incorporated Engineer and, with further study, you can become a Chartered Engineer. Data Analytics MSc students Stephanie Healy Fabrega and Indrajitrakuraj Ravi have been employed on a research project.

Is AI engineer a hard job?

So it's not like which branch of engineering is hard. It all depends on your skill sets. If you have some essential skills, you are good at getting into the world of AI. At some point, you will discover that artificial intelligence or machine learning is just the representation of how humans learn and think.

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