Advance your training in Computer Science and Analytics technologies, focusing on cloud computing, information security, programming, and AI. Progress as a software developer, systems analyst or cloud architect.

The MSc Luxury Marketing course aims to provide you with the opportunity to study luxury marketing within a global context while also being cognisant of the wider responsibilities of businesses including responsible leadership.

This course equips you with real-world skills and the essential toolkit to create or develop responsible business strategies that keep people and the planet at the heart of fashion business.

Take existing skills in numeracy, problem solving and communication and apply them to negotiation, dispute resolution, project management and international construction. Progress to a career as a quantity surveyor or commercial manager.

Progress to a career as a project manager with employers such as Balfour Beatty, Sir Robert McAlpine and Morgan Sindall. Develop your leadership and planning skills at postgraduate level in the study of construction and the built environment.

Develop your skills and creativity with practical study of digital and sustainable marketing. You'll cover communications, customer behaviour, innovation/development, storytelling, ethical product/services life cycle, and a live branding simulation.

You'll be equipped with a critical understanding of traditional, digital and experiential marketing, relevant to creating solutions to real-world fashion marketing. You'll develop creative and commercial skills, all vital for working in fashion.

Choose a professionally-focused alternative to the PhD and develop industry-relevant research around your career. The ideal qualification to enhance your career trajectory.

Progress to a career as an experienced manager in the global luxury market. Combine your current experience with the latest industry thinking and theory at the forefront of luxury marketing and brand management.

LONDON: Take your skills in computing, computer engineering or electronics and apply them to postgraduate-level study in data engineering, data-science/analytics and IoT. Progress as a data analyst, systems architect or IT/data engineer.