MSc Artificial Intelligence Technology (with Advanced Practice)

at Northumbria University - London

• Acquire in-demand skills essential for various roles in the IT industry, ensuring readiness for dynamic career opportunities.
• Learn to train and deploy distributed machine learning models using cloud-based platforms like Google Cloud or AWS, staying ahead in the era of AI and cloud computing.
• Designed to meet the accreditation criteria of BCS, the Chartered Institute for IT, providing a pathway to becoming a Chartered IT Professional and enhancing professional recognition.
• Opt for the Advanced Practice option, offering an internship or group consultancy project, to gain invaluable work experience and boost employability.

Modules 

• Information Governance and Cyber Security
• Leadership in a Digital Age
• Programming for AI
• Academic Language Skills for Computer and Information Sciences (0 credits)
• Research Methods for Professional Practice
• Artificial Intelligence for IoT
• Machine Learning on Cloud
• Computing and Digital Technologies Project (60 credits)

Important Dates

The programme commences in January, May and September. Potential students are encouraged to regularly monitor the university's website for the most recent application updates. Alternatively, applications can be made via UCAS.

• A minimum of a 2:2 (second class) honours degree from a UK university or its international equivalent is required. 
• Alternatively, professional qualifications with comparable standing, involving substantial academic study, may also be considered. 
• An IELTS score of 6.5 or higher, with no individual component falling below 5.5, or an equivalent qualification, is also required.

International Tuition Fees:

£22,750

Graduates of the MSc Artificial Intelligence Technology (with Advanced Practice) are poised for a multitude of career opportunities in the rapidly evolving field of artificial intelligence. The Advanced Practice component, which includes internship opportunities, further enhances employability by providing real-world experience and industry connections. Additionally, graduates may pursue doctoral studies for academic research or teaching positions in universities and research institutions.