Applied Artificial Intelligence

Entry requirements

2:1 undergraduate degree (or equivalent) in a STEM subject. Suitable subjects include but are not limited to: IT, Mathematics, Chemistry, Physics, Engineering, Statistics, Data Science, Biology/Life Sciences.

Candidates with a background in Computer Science or related areas who are interested in an applied approach to AI are also encouraged to apply.

Months of entry

September

Course content

Our MSc in Applied Artificial Intelligence is an advanced programme which combines essential concepts in AI and ML with practical learning through labs, workshops and industry specific applications.

The course will equip you with the techniques and skills necessary to excel in AI-driven industries; you will gain a solid foundation in the principles, theories, and practices of Artificial Intelligence, including machine learning, deep learning, data mining, natural language processing, computer vision, reinforcement learning, automation, and robotics.

Through the use of case studies and industry projects, you will also gain significant hands-on experience with AI tools and technologies, ensuring you’re equipped to design, evaluate, and implement AI and ML solutions for real-world problems.

The program emphasises practical applications, ethical considerations, and the societal impact of AI technologies.

This course provides:

• Cutting-edge content: learn the latest developments in AI and machine learning to stay at the forefront of this rapidly evolving field.
• Practical, hands-on experience: engage in real-world projects and lab sessions to apply theoretical knowledge to practical scenarios.
• Interdisciplinary learning: benefit from the intersection of AI with various disciplines, enhancing your ability to apply AI in different contexts.
• Research skills: conduct independent research, critically evaluate existing literature, and contribute to the advancement of the field of AI
• Innovation and creativity: think innovatively about the development and application of AI technologies in tackling complex challenges and envisioning new possibilities.
• Skills in demand: acquire technical expertise and problem-solving skills that are highly sought after in the job market.
• Long-term career prospects: develop foundational skills that will remain relevant as AI technologies continue to evolve.