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Artificial Intelligence

Course details
  • 3 Study options
  • Undergraduate
Course location
Main Site
Awarded by:
University of Westminster

Course summary

AI is transforming industries from software development and data science to finance, healthcare, transportation and entertainment. Our Artificial Intelligence BSc is designed to address the transformational challenges and opportunities presented by this technology to modern businesses and society.

You’ll learn to design, develop and deploy intelligent systems across domains such as robotics and game design. The course equips you with technical skills in computer science, such as programming and data processing, while also building your communication and problem-solving abilities for the modern workplace.

This course blends fundamental theory with practical experience to equip you with the cutting-edge skills needed to build and apply AI systems. You’ll study core principles such as logic, statistics, and algorithms, and apply them in real-world contexts like computer vision and natural language processing.

Your learning will span established areas such as programming and database management, alongside emerging topics like large language models and prompt engineering. You’ll also gain hands-on experience through a short-term work-based project, often set by an external organisation, allowing you to apply what you’ve learned to a real-world business problem.

In addition, you can choose to complete a year in industry after your second year, giving you valuable work experience and furthering your career prospects. Our Careers and Employability Service, alongside the course team, will support you in finding and securing placement opportunities in AI-related roles.

By the end of the course, you’ll be ready to make a meaningful contribution in the workplace or continue your academic journey. Graduates may also go on to pursue postgraduate study in areas such as cybersecurity, data science, or software engineering.

How to apply

Application codes

Course code:
A222
Institution code:
W50

This course may be available at alternative locations, please check if other course options are available.

Course options

Entry requirements

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Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).

It is designed to support your research but does not guarantee whether you will or won't get a place.

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Fees and funding

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