Master in MSc Artificial Intelligence (2 years)

The tuition fee is 26,296 GBP per year.

Graduates of the MSc Artificial Intelligence (2 years) programme can look forward to careers as Machine Learning Engineers, Data Scientists, AI Research Scientists, Computer Vision Engineers, or AI Product Managers, working in sectors that value expertise in machine learning, data mining, computer vision, natural language processing, and robotics. This two-year conversion programme is designed for students from diverse backgrounds, including psychology, linguistics, science, mathematics, technology, or the arts, offering a pathway into AI for those without a direct computing background. Based at the National Robotarium, students gain hands-on experience with robotics, automation, and AI, aligning with high-demand skills in the field and preparing graduates for a rapidly-evolving career landscape.

Heriot-Watt University, Edinburgh combines almost two centuries of history with a modern, career-focused education. Founded in 1821 in Scotland, the university serves around 9,765 students across ten distinct program areas, offering strengths in engineering, business, design and applied sciences. Its long-standing reputation for practical learning and industry engagement makes it attractive for students aiming to translate academic study into real-world outcomes.

Academically, Heriot-Watt is known for applied research, professional partnerships and strong postgraduate opportunities. International collaborations and a global campus network broaden study options and deliver a multicultural classroom environment. Facilities emphasize laboratories, design studios and industry-standard technologies, while staff often bring industry experience that helps shape practical curricula and employability-focused projects.

For international students, Edinburgh’s compact campuses provide supportive services, orientation programs and career guidance to ease transition. The city’s vibrant cultural scene, combined with access to Scotland’s business and energy sectors, offers internships and networking possibilities. Prospective applicants should highlight relevant practical experience and career goals when applying, as the university favors candidates who demonstrate how their studies will connect to professional ambitions.