This Artificial Intelligence degree at ARU offers students the chance to explore the science of machine learning and develop skills to be at the forefront of technological innovation. The course is designed in collaboration with industry, offering practical experience through real-world projects and live briefs from regional companies like Mathworks and Citisoft. Students will learn about the history, systems, and algorithms underpinning AI, using advanced technologies and software packages such as Microsoft Azure, VMware IT Academy, and online resources from Intel AI Academy and Amazon AWS Educate. The program aims to prepare graduates for careers in diverse sectors, including IT, healthcare, media, and energy, with a focus on developing both technical and analytical skills.
Why this course is highly recommended
This degree is highly recommended due to its industry-focused design, accredited by BCS and IET, and its location in Cambridge, known as Silicon Fen, which hosts major tech companies including Apple, Microsoft, and Samsung AI. Students benefit from access to specialist facilities like AI labs and online resources, with opportunities for a placement year to gain industry experience. The course's strong industry links and collaborations ensure students develop relevant skills and contacts that enhance long-term career prospects in a rapidly evolving field.
The course specializes in the science of machine learning, covering the foundations of AI systems and advanced algorithms. It is aimed at those who want to gain practical industry-relevant skills in developing AI technologies and applications.
Application fees
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1st year tuition fees
18.47L
Living cost
Details regarding the specific entry requirements are not currently available. However, the course provides a foundation year to help students prepare for university-level study and build necessary skills.

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Graduates of this program can pursue roles such as software engineer, hardware engineer, app developer, web developer, or programmer. Many also work as data analysts, data scientists, or business analysts across sectors like finance, media, telecommunications, energy, and healthcare. The course’s industry connections and placement year opportunities support career development, with graduates successfully securing roles in prominent companies and further study options, such as a master's in AI.