This two-year course with study abroad develops broad business skills while also offering a specialist pathway in business analytics. There is no requirement to have studied business or business analytics at undergraduate level. The course is covered by the prestigious AACSB accreditation for Newcastle Business School, which was ‘Business School of the Year’ at The Times Higher Education Awards 2015. The University has also invested heavily in IT labs and facilities. You will use software such as ARIS Express Business Process Modelling, various SAS applications, Microsoft Project, specialist decision-making software, and Google Analytics. Technology Enhanced Learning (TEL) is embedded throughout the course with tools such as the ‘Blackboard’ eLearning Portal and electronic reading lists that will guide your preparation for seminars and independent research. Our use of lecture capture software will help you revise challenging material. At Northumbria it’s easy to put your learning into practice. The Student Engagement Centre promotes all types of experiential learning including volunteering, internships and placements. The Business Clinic enables our students to participate in a ‘consultancy firm’ to provide advice for our region’s businesses. Our graduates typically go into professional and graduate management positions and, by the end of the course, you will be well-equipped to follow them. Some employers require completion of a two-year Masters and this course will meet their requirement. 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. Whatever you decide to do, you’ll 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 undertaking research, the ability to contribute to new processes and knowledge, and the ability to formulate balanced judgements when considering incomplete or ambiguous data.