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.

Progress your career in international marketing in an increasingly fast-evolving global sector. You’ll specialise in digital marketing, communication and innovation to gain the skill set you need to succeed.

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.

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.

Follow a career as a quantity surveyor or commercial manager by advancing your skills in numeracy, problem solving and communication. Learn how to effectively apply them to a variety of areas in construction and project management.

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.

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.

Be at the forefront of the skills and thinking that are needed to lead organisations in an increasingly international and interconnected world. Manage change and innovation, people, finances and marketing towards more sustainable business practices.

Take existing skills in computing or computer engineering and apply them to postgraduate-level study in data engineering, data-science/analytics and Artificial Intelligence. Progress as a data analyst, systems architect or IT/data engineer.