Artificial Intelligence BSc Hons

It does not assume A-level mathematics, and the emphasis and delivery will be on understanding the key concepts as they apply to Computer Science. Each module has its own set of learning outcomes and assessment criteria and also artificial intelligence engineer degree carries a certain number of credits. 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.

Graduates may also develop proficiency in data mining and analysis that will open doors in a diverse range of industries.The cost of a bachelor’s degree depends on the selected school and the length of study. Students should research or contact prospective schools to ensure they have the information they need.Having a bachelor’s degree in artificial intelligence may open the door to new and https://www.metadialog.com/ exciting career paths. Possible jobs include data scientist, machine learning specialist, or computer engineer. Someone who enjoys teaching could train others to develop and use artificial intelligence or may wish to teach at the secondary level or in higher education. Another alternative is working in sales for companies that market artificial intelligence applications to consumers.

Artificial Intelligence (MEng)

Through an intensive module on Python programming with a focus on AI applications, and the use of Python in other modules on machine learning, the degree will also enable students to graduate as skilled AI programmers. In the last decade the advances in Artificial Intelligence have made it at the forefront of technology, with many advances improving our daily lives. Such is its importance that AI has become a national priority in many countries, including the UK, US, China, and India. As a result, there is a huge demand for specialist graduates with advanced AI knowledge and skills.

This module provides the theoretical foundations, the technologies and the corresponding tools for constructing intelligent model-driven software systems with explicit representation of knowledge. It will enable the students to model, design and implement software systems, which demonstrate “artificial intelligence” similar to the intelligence of the human behaviour. At the same time, it will help the students understand better the rationality behind the human intelligence. 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.

Where will I study?

These include Deep Learning, the technology behind the mass adoption of artificial intelligence in industry and its applications in computer vision and natural language processing. This year also teaches key enabling technology powering scalable computing in industry. This module will introduce NoSQL databases and distributed data storage frameworks through practice based activities. Through guided hands-on tutorials, you will become familiar with techniques using non-structured and semi-structured data examples.

The duration of an artificial intelligence degree varies depending on the level of study and the specific programme. A bachelor’s degree typically takes three to four years, while a master’s degree can take one to two years to complete. We know that starting university can be daunting, and is a big step into a new way of living and learning.

Get in touch with Manchester Metropolitan University

The University of Edinburgh offers an outstanding MSc in Artificial Intelligence taught by renowned researchers. It provides comprehensive knowledge and practical skills to design and apply AI systems. The programme spans two semesters, blending lectures, tutorials, projects, and research methods. The curriculum includes diverse AI areas like natural language processing, machine learning, and robotics. The programme equips students with expertise through engaging courses like Natural Language Processing, Reinforcement Learning, and AI Ethics, positioning them at the forefront of AI advancements. In this year you learn about theories of mind and techniques for generating intelligent behaviour.

This module introduces the field of digital image processing, a fundamental component of digital photography, television, computer graphics and computer vision. This module builds on parts of the ACE module addressing data structures and formal reasoning and introduces concepts which are important to understand the analysis of algorithms in terms of their complexity. Our staff travel the world to speak to people about the courses on offer at Essex. Take a look at our list of exhibition dates to see if we’ll be near you in the future. Home to 15,000 students from more than 130 countries, our Colchester Campus is the largest of our three sites, making us one of the most internationally diverse campuses on the planet – we like to think of ourselves as the world in one place. In most cases you will study one module per component, but in some cases you may need to study more than one module.

Learning and Teaching

The programme includes specialised, intensive training in programming and AI, with a wide choice of elective modules, a group project and a large individual project. There are opportunities to do both the group and individual projects with leading companies working on applications of AI. Brunel’s BEng electronic and electrical engineering (artificial intelligence) course is accredited by the Institution of Engineering and Technology (IET). This professional engineering institution ensures that your engineering degree meets the academic requirement to qualify as a professional engineer. This accredited BEng degree in electronic and electrical engineering can be studied full-time over three years, or four years with a placement year.

As part of the course students will have the opportunity to apply to do a paid internship with one of our industry partners, a list which includes The Royal Wolverhampton NHS Trust and Transport for West Midlands. Industry partners will also support the programme by providing students with case studies based on real events and will provide their cloud training environment to allow modelling of real-world scenarios. All three artificial intelligence fundamental modules will be assessed by combining coursework (60%) and exams (40%). Coursework will assess your skills in using AI methods and tools, while exams will evaluate your level of understanding and decision-making skills in analysing and designing intelligent systems. Successful graduates of this course should be in an excellent position to respond to future changes in the computing job market by having the skills and knowledge to gain AI jobs that do not exist yet or are just emerging.

It also provides a brief historical overview of the subject and reviews the state-of-the-art and open questions in some of the major sub-areas of AI, pointing out connections to research work in the Department. The emphasis here is on identifying the abstract nature of the problem that is to be solved, matching this to an appropriate algorithm or technique and implementing a solution. It also serves as an introduction to programming for research rather than for software engineering. Over the next few years, artificial intelligence will have a major impact in many areas of society. We’ve designed our Artificial Intelligence postgraduate degree course to appeal to recent graduates and experienced industry professionals looking to develop relevant knowledge and open up career pathways in this field.

From infrastructure and education to healthcare and climate change the importance of AI cannot be overemphasised. There is now a persistent demand for graduates from a variety of backgrounds who have the expertise and training needed to responsibly use AI technologies to combat some of the world’s greatest challenges. This course has been designed and developed by a team of experts to produce agile, flexible and dynamic graduates with the right blend of training, education and management skills to meet the demands artificial intelligence engineer degree of industry in a variety of areas. Two students have been hired to work alongside London Met lecturer Sandra Fernando on a major data analysis project, giving them real-life work experience alongside their degrees. This module will introduce students to modern statistical modelling techniques and how those techniques can be used for prediction and forecasting. Your contact time will vary depending on your background knowledge (at the start of the module) and learning style and the requirements of the module.

As our degrees are taught and assessed in English, applicants must be able to prove their level of English language ability. You will study advanced topics such as Data Mining , Machine Learning, Intelligent Robots  and Biologically Inspired Computation. In addition you will also undertake a major individual project in Artificial Intelligence. The MSc Artificial Intelligence prepares you for both a career in industry, and a PhD in AI and machine learning. Opting for the year in industry during your engineering degree often leads to an offer of an electronic engineering job from your placement company.

Students ordinarily resident in Wales may be to apply for postgraduate support from Student Finance Wales. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Students ordinarily resident in England may be to apply for postgraduate support from Student Finance England. One of the biggest challenges in Artificial Intelligence is evaluating how well AI systems work. 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. Dr. Quanbin Sun is the director of undergraduate study in the department of computer and data science (CDS).