This programme is for students who would like to solve business problems through quantitative data analytics. Organizations today realize that data analytics is a critical competitive capability to survive in the new era of Big Data and Artificial Intelligence. Businesses now have abundance of data at their disposal generated from traditional functions such as sales and operations, but also, more recently, from social media and the Internet of Things. That has made the volumes and variety of data of value to businesses very large, effectively dubbed as the Big Data era.
Mining data and finding insights of value to businesses is a crucial process to move from raw and seemingly messy data, to organized insights supporting evidence-based management. For example, classifying free-text tweets of consumers opinions of a certain company's product into positive, neutral, and negative sentiments can help the company identify potential issues and deal with them in a proactive manner.
This MSc in Business Analytics is for graduates with degrees that include quantitative techniques such business, management, mathematics, physics, and others, who would be interested in applying quantitative analytics in business, including in commercial, governmental and non-governmental organizations. The Big Data analytics market is set to grow with a rise in demand for data analytics jobs. This programme enables students to bridge their business analytics skills gaps and get ready to contribute to this exciting and growing data-based economy.
The programme is intensive with a focus on hands-on learning experience. It is made up of eight taught modules. Modules cover the foundations of business analytics (Principles of Business Analytics, and Predictive Analytics), real-world analytics projects with an organization (Analytics Live), analytics applications and socio-technical implications (Marketing Analytics, Contemporary Issues in IT, and People, Organisations & Society), in addition to Core Experiences modules (Career Planning and Development, and Evidence Based Management).
The programme also offers a preparatory Autumn School to prepare students from different backgrounds to achieve the basic levels of Business, Maths & Statistics, and Programming that you will need to undertake an MSc in Business Analytics. Our approach to learning involves active engagement in problem solving, individually and collectively. Each module is taught in four one day blocks. For each module there is a space of three to four weeks between the next teaching block. This enables learners to undertake their individual and group work and study in preparation for the next class. A full time student would take four modules per semester and thus be in class two full days every second week, with substantial group and individual work in-between, and supported by access to lecturer insights via office hours and online supports as necessary. Part time students take two modules a semester over two years to complete the programme.