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Course content

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.

Aims

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.

Special features

We run a core module on Data Analytics which will introduce students to SAS Enterprise. A coursework prize for this project will be sponsored by SAS.

Recent highlights included a case study run by British Airways,a presentation from SAS on the Future of Analytics and ongoing dissertation projects with Unilever and LBM.

Coursework and assessment

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.

Career opportunities

There are many potential career roles for postgraduates with an understanding of analytical approaches in business and management - including job titles such as operational research analyst, systems analyst, risk analyst, financial analyst, performance analyst, business analyst, marketing analyst, business modeller, and operations, logistics, production, project, risk, quality, performance, or general manager. Employers include general and specialist consultancies, the finance, retail and manufacturing sectors, government analytics units, defence and major `solution providers' in IT systems, outsourcing and telecoms.

In many of these areas an MSc is generally accepted as highly desirable for developing an initial career in the field. In addition to preparing you for specialist professional work, the course is also a valuable preparation for further study and for research degrees.

Visit the Business Analytics: Operational Research and Risk Analysis - MSc page on the University of Manchester website for more details!

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