The course introduces you to the fundamental theories, approaches and analytical toolkit of decision sciences, applied operational research, and statistics.
It shows you how they can be applied to common problem areas across business and management. You then have the opportunity to choose from a broad range of options to meet your interests or career aspirations.
The course gives you a solid theoretical foundation and quantitative skills, alongside practical problem-solving techniques. Much of your learning involves real-life scenarios using case studies, individual and team consulting-based assignments, presentations and software tools. An understanding of analytical approaches in business and management opens up many exciting career paths in consultancy, finance, retail and manufacturing sectors, government analytics units, defence and major ‘solution providers’ in IT systems, outsourcing and telecoms.
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Recent recruiters include: America Veintiuno, Aon, Convergys, Deloitte, Goldman Sachs International, HSBC, IBM, Royal Bank of Scotland, Saudi Aramco, Swiss Re, Triumph Motorcycles
Course structure (All taught units are 15 credits)
— Applied Statistics and Business Forecasting
— Mathematical Programming and Optimisation
At least one and no more than two of the following ‘specialist’ electives:
— Decision Behaviour, Analysis and Support
— Financial Analytics
— IS Strategy and Enterprise Systems
— Social Media and Web Analytics
One elective unit from:
— Global Operations Management: Theories and Concepts
— Managing Projects
— Strategic Supply Chain Management
— Data Analytics for Business Decision Making
— Risk, Performance and Decision Analysis
— Simulation and Risk Analysis
One elective unit from*:
— Business Improvement Tools and Techniques
— Credit Risk Management
— Games Businesses Play
— Global Supply Chain Management
— Information and Knowledge Management
— Psychology of Behaviour and Decision Making
* By agreement with the course director, one elective unit may be taken from another MBS or School of Mathematics Masters course. All elective units are subject to availability and timetabling constraints.
Summer research period
Research dissertation [60 credits]
The dissertation gives you the opportunity to apply what you have learned in the taught part of the course. It normally consists of a literature review followed by a piece of empirical work, involving either qualitative or quantitative research.
Topics reflect the expertise of your lecturers and you may be asked to choose from a list of options. Subsequently you will be allocated to one of these options.
Examples of recent dissertation topics include:
— Non-linear programming and a heuristic approach for a dairy product range optimisation
— Evaluation of forecasting and supply chain issues in a major Indian FMCG manufacturer
— Structural equation modelling
— Prioritisation of product groups for carbon labelling for a leading UK supermarket
— Depot location, fleet sizing and demand forecasting for car rental
2:1, in a quantitative subject (eg maths, stats, physics, eng, man science). TOEFL/IELTS may be required for non-UK students. Apply now! You can submit your application before you graduate.