Master in Applied Artificial Intelligence

Teesside University in Middlesbrough, established in 1930, is a contemporary university known for its industry-aligned courses and strong focus on graduate employability. With a student population of over 22,000 and a diverse international community, the university offers a welcoming and practical learning environment. Teesside's campus blends modern facilities with creative and technical programs designed to prepare students for evolving professional landscapes.

The university provides a broad portfolio of programs, with many courses developed in collaboration with employers to ensure graduates have relevant skills and workplace experience. Strengths include digital media, engineering, health, and business, supported by placement opportunities, live industry briefs, and enterprise initiatives. Students benefit from practical labs, specialist studios, and dedicated support to build portfolios and professional networks that boost career prospects.

Teesside places emphasis on student support services, from academic guidance to international student advice and career coaching. Middlesbrough offers an affordable cost of living combined with easy transport links to major UK cities. For international applicants seeking practical degrees, strong employer engagement, and clear pathways into the workforce, Teesside University presents a student-centered option with a strong record of employability outcomes.

The Master in Applied Artificial Intelligence at Teesside University is a 2-year program for students with a Bachelor's degree. It helps students develop skills in artificial intelligence and its applications. The program is taught in English and takes place on campus.

The curriculum includes core modules like Artificial Intelligence Foundations, Big Data and Business Intelligence, Deep Learning, and Machine Learning. Students also work on a Computing Masters Project and can participate in an internship for advanced practice.

Graduates can pursue careers as Artificial Intelligence Engineers, Data Scientists, Machine Learning Researchers, Business Intelligence Developers, or Software Developers. They can work in various industries, including technology, finance, and healthcare, for employers like tech startups, research institutions, or government agencies.