Course module details
Learn how to overcome the major challenges facing industry, business and the public sector today, and influence the decision-making processes of the future. This course gives you the cutting edge analytical approaches, methodologies and tools you need to confidently tackle problems and improve outcomes.
It allows you to specialize in a diverse range of areas including
- Consulting skills
- Big data and web analytics
- Information systems concepts and tools
- Decision behaviour and psychology of decision making
- Financial modelling
- Operations management and process change and improvement approaches
- Project management
- Supply chain management, logistics and procurement
- Traditional operational research and applied mathematics and statistics
The aim of the course is to give students a solid quantitative foundation 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. Much of the coursework takes the form of consulting-style cases, some done in small teams and including presentations.
The core of the course is formed by four analytics units covering fundamental toolkit areas of decision sciences, applied operational research and statistics. The approach is to consider application of these analytical methodologies and toolkits to common problem areas across business and management. You then chose four other units from a broad range of options, according to your interests, background and intended career directions.
The course is intended to provide management, engineering, science, mathematics, economics or similar graduates who have a solid quantitative foundation with deeper analytical skills and an understanding of how these are applied to business and management problems.
Assessment varies depending on course units taken. It may include a combination of course work, group project assessment and presentations, report, assignments, in-class tests and examination. The dissertation normally ranges between 12,000 and 25,000 words.
The course consists of both compulsory and optional taught units. The core courses unit introduce you to mathematical principles and practical tools for Optimization, Decision Making, Data-Mining, Statistical Analysis, Simulation & Risk Analysis. Specific software packages include SAS, SPSS, Minitab, AMOS, Eviews, Excel, Excel Solver, SIMUL8, iThink, Risk Solver, IDS.
Compulsory course units include:
- Mathematical Programming and Optimisation;
- Applied Statistics and Business Forecasting;
- Simulation and Risk Analysis;
- Data Analytics for Business Decision Making;
- Risk, Performance and Decision Analysis.
A range of optional units is available from a wide range of areas, depending on availability and timetabling, and students' with a suitable background.
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Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: firstname.lastname@example.org