Huge amounts of data are generated every day, making the ability to process information efficiently and make data-driven decisions increasingly important. Artificial intelligence (AI) plays a central role in extracting insights from data, creating strong demand for skilled AI professionals.
At UCL, we deliver Brunel University of London’s BSc Artificial Intelligence programme. The degree provides a strong foundation in the theory and practical application of computer science and AI, equipping students with the knowledge and skills needed to develop intelligent software solutions for complex real-world problems.
AI technologies are widely used in areas such as gaming, financial services, healthcare, and business systems. Throughout the programme, students develop an understanding of the capabilities, diversity, and limitations of intelligent software, explore a range of machine learning approaches, and learn how to apply them to create innovative and effective solutions.
Careers and Future Opportunities
Holders of CertHE in Artificial Intelligence are prepared for careers in AI, data science, software development, consultancy, and related fields.
Employment opportunities exist across a wide range of sectors, including IT and software engineering, finance and banking, healthcare and life sciences, government and public services, manufacturing, telecommunications, media, transport, energy, utilities, and e-commerce.
Graduates benefit from the strong reputation of Brunel University of London and the University of London, gaining both specialist technical expertise and transferable skills that are highly valued by employers worldwide. Career pathways may include technical, analytical, consultancy, entrepreneurial, and leadership roles.
The CertHE Artificial Intelligence consists of 120 credits across level 4 only (as opposed to BSc that spans Levels 4 through 6). Level 4 modules include:
Students achieve a Certificate of Higher Education (CertHE) by successfully completing the 120 credits at Level 4.
Students can enrol through UCL, an approved Recognised Teaching Centre (RTC), where we provide local teaching support and campus facilities.
Following registration, students gain access to UCL Student Portal, as well as University of London portals including:
Teaching is primarily delivered in person through lectures, laboratories, seminars, and tutorials, although some activities may be offered online where appropriate. Students are expected to attend all teaching sessions, examinations, and assessments on campus.
The programme adopts an interactive and practical approach to learning. Many lecturers bring extensive industry and consultancy experience, ensuring that teaching reflects current developments in AI and computing.
Learning activities include lectures, laboratory work, group projects, and one-to-one support sessions. Lectures introduce core concepts and theories, while laboratory sessions develop practical software development and technical skills. Tutors provide ongoing academic guidance throughout the programme.
Assessment methods vary across modules and may include:
Some modules are assessed entirely through examinations or coursework, while others combine multiple assessment methods.
Academic direction for the programme is provided by Brunel University of London, a leading UK institution recognised for excellence in computing, engineering, mathematics, and technology-related disciplines.The Programme Director from the Department of Computer Science at Brunel University London, holds a PhD in Artificial Intelligence from the University of Edinburgh and previously worked as a Senior Researcher at British Telecom (BT).Her research focuses on machine learning and nature-inspired computing, with particular emphasis on applying advanced AI technologies to solve real-world challenges.
Applicants will normally:
Applications that do not fully meet the standard requirements may still be considered based on alternative qualifications or relevant work experience.
Applicants must demonstrate an appropriate level of English proficiency through recognised qualifications, test scores, or other accepted evidence.
Students have access to the University of London Careers Service, which provides:
These services help students develop their professional skills, explore career opportunities, and prepare for employment throughout their studies.
