International Hospitality and Tourism Management Northumbria University

Overview

This International Hospitality and Tourism Management programme at Northumbria University allows you to analyse the practices and behaviour of businesses within hospitality and tourism and provides the opportunity to specialise in an area of interest whether this be in innovation and entrepreneurship, hospitality and events, or place and destination management.

This course is open to those from any undergraduate background who have an interest in the principles, theories and practices utilised within the hospitality and tourism management sectors.

Career

Throughout this postgraduate course you will gain practical management and entrepreneurial skills combined with theory that you will be able to apply on an international scale, preparing you for success in a wide range of careers. One of the optional modules also provides the opportunity to undertake a fieldtrip in Amsterdam, allowing you to see first hand how an international destination is managed.

Graduates typically go into professional and graduate management positions, and by the end of the course you’ll be well-equipped to pursue a professional management career. Thanks to the specialist modules available on the course, you’ll have a particular edge in roles related to hospitality and tourism management and business development. 

If you decide to start up your own business, it’s good to know that the combined turnover of our graduates’ start-up companies is higher than that of any other UK university.  

The course could also lead you to a postgraduate research degree such as an MPhil, PhD or Professional Doctorate. 

Whatever you decide to do, you will have the transferable skills that employers expect from a master’s graduate from Northumbria University. These include the ability to tackle complex issues through conceptualisation and primary research, the ability to contribute to new processes and knowledge, and the ability to formulate balanced judgements when considering incomplete or ambiguous data.