BEng Electronic and Electrical Engineering Artificial Intelligence

The Brunel University London Electronic and Electrical Engineering (Artificial Intelligence) degree is a contemporary programme designed to equip students with the essential knowledge and skills for electronic and electrical engineering, with a specialisation in artificial intelligence applications.

The course helps students understand key concepts of intelligent processing systems and intelligent software applications, how to build intelligent systems, and evaluate biologically inspired engineering systems crucial for current and future needs. It covers computer hardware, software, and artificial intelligence, starting with fundamental principles and progressing to more advanced technologies.

Students will learn through a mix of theory, practical sessions, and project work, using up-to-date laboratories and industry-standard software. The initial two years focus on building a strong foundation in electronic engineering, and students complete individual and group projects that simulate real industrial practice.

This three-year full-time programme, which also offers an optional four-year sandwich route including a professional placement, is accredited by the Institution of Engineering and Technology (IET), ensuring it meets the academic requirements to become an Incorporated Engineer (IEng).

Brunel University London is known for its teaching, which is based on research and practical skills. The university helps students gain the abilities and experience needed for good careers in today's changing world. Its campus is in London, providing a safe and helpful place to study, with easy reach to all the city has to offer.

The university provides many courses, from first degrees to advanced studies, across different fields. These include Engineering, Business, Law, Sports, Health, Biomedical Sciences, Psychology, and the Arts. Brunel works hard to create a lively and helpful learning place, making sure students connect well with businesses and professional groups, fully preparing them for their jobs ahead.

You need to present a personal statement. In this statement, you should explain why you want to join the course and provide other important information about your past studies. You will also need a proper reference from a teacher or an employer. You can also include your CV with your application to show any work experience you have.

Grade Requirements:

• To apply, you generally need A-level grades, usually between AAB and BBB. Or, you could have an International Baccalaureate Diploma with 30 points, a BTEC National Extended Diploma with DDD, a BTEC Diploma with DD, or a T-level with a Merit grade. 
• The university also welcomes international certificates that are similar to A-levels.

English Proficiency:

• If English is not your primary language, you must show you can use it well. This usually means getting an IELTS score of 6.0 overall. No single part of the test (like reading or writing) should have a score less than 5.5. 
• The university also accepts similar results from other approved English tests, such as PTE, BrunELT, and TOEFL.

For international students, the annual tuition fee for the BEng Electronic and Electrical Engineering (Artificial Intelligence) at Brunel University London is £24,795.

Brunel University London offers various scholarships to support eligible international undergraduate students. For the 2025/26 academic year, the Undergraduate International Bursary provides a £3,000 fee reduction for self-funded international undergraduate students entering their first year. 

Additionally, the College of Engineering, Design & Physical Sciences (CEDPS) Academic Excellence Scholarship 2025/26 offers £2,000 cash each year to eligible offer holders with strong academic achievements. The university also participates in external scholarship programmes, such as Chevening and the Commonwealth Scholarships, providing further funding opportunities.

Graduates of the BEng Electronic and Electrical Engineering (Artificial Intelligence) programme are well-prepared for significant roles in various technology-driven sectors. Potential career paths include:

• Electronic Engineer
• Electrical Engineer
• Artificial Intelligence Engineer
• Data Scientist
• Autonomous Systems Engineer
• Software Engineer

Applications for this course can be submitted through UCAS or directly through the university's online application portal. Our experienced advisors can help you.