Artificial Intelligence and Technology Leadership Northeastern University London

Overview

The Artificial Intelligence and Technology Leadership programme at Northeastern University London provides a comprehensive foundation in modern computational methods and strategic management. Students gain the technical proficiency and ethical perspective necessary to guide organisations through the complexities of rapid technological evolution. This master’s degree offers flexible pathways to ensure graduates can specialise in areas ranging from engineering to business transformation.

Why Artificial Intelligence and Technology Leadership at Northeastern University London?

Students benefit from being part of a global network of campuses, providing a diverse and internationally connected learning environment. The university’s location in the heart of London offers direct access to a major global hub for technology innovation, policy, and industry. Learning is highly interactive, featuring small class sizes and direct access to expert faculty who provide personalised academic support throughout the duration of the course.

Tuition Fee Breakdown

• International fee: GBP 25522 per year
• National fee: GBP 11900 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to bridge the gap between technical development and organisational leadership. Modules may include:

• Agentic and Generative Artificial Intelligence
• Artificial Intelligence and Data Ethics
• Academic and Professional Enquiry Methods
• Machine Learning and Natural Language Processing
• Artificial Intelligence Dissertation Project
• Postgraduate In-the-Field Experiential Project
• Algorithms and Analytics
• Software Architecture for Artificial Intelligence
• Data-Driven Transformation

Careers with Artificial Intelligence and Technology Leadership

Graduates are prepared for high-impact roles across various sectors, including financial services, healthcare, government, and software engineering. The programme equips students with the skills to pursue diverse career paths such as AI Engineer, Machine Learning Developer, or AI Ethics Specialist. Additionally, those focused on management can progress into roles like AI Product Manager, Digital Transformation Consultant, or Innovation and Automation Manager. Students also gain access to an extensive global alumni network and dedicated careers advisory services to support their professional advancement.