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MSc in Logistics and Supply Chain Management MSc in Management Science and Marketing
Analytics
Director of Studies: Dr Mark Stevenson.
Duration: 12 months full-time. Director of Studies: Dr Sven Crone.
Entry Requirements: An upper second class honours degree, or Duration: 12 months full-time.
equivalent. Entry Requirements: An upper second class honours degree, or
Assessment: Combination of assignments, formal examinations, equivalent.
projects, interactive exercises and dissertation. Assessment: Combination of assignments, formal examinations,
IELTS: 7.0 or TOEFL 600 (paper-based test), 250 (computer-based test), projects, interactive exercises and dissertation.
100 (internet-based test). IELTS: 7.0 or TOEFL 600 (paper-based test), 250 (computer-based test),
Funding: Departmental/Business Sponsors - see also page 196. 100 (internet-based test).
Further Information: www.lums.lancs.ac.uk/departments/mansci Funding: Departmental/Business Sponsors - see also page 196.
Further Information: www.lums.lancs.ac.uk/departments/mansci
This MSc programme looks at the application of management Management Science
science in operations management, supply chain and logistics This MSc Programme explores the use of management science to
management and consists of compulsory and optional modules, support marketing decision making and planning and consists of
plus a project. The compulsory modules ensure that you have a compulsory and optional modules, plus a project. The compulsory
firm grounding in important subjects. The wide range of optional modules ensure that you have a firm grounding in important
modules allows you to specialise in subjects that particularly subjects related to analytical and problem-solving skills. The wide
interest you. range of optional modules allows you to specialise in subjects that
particularly interest you.
Compulsory modules
Problem solving and consulting skills Compulsory modules
Spreadsheet modelling Problem solving and consulting skills
Introductory statistics Spreadsheet modelling
Introduction to logistics and SCM, marketing analytics and OR Introductory statistics
Software support for logistics and SCM Introduction to logistics and SCM, marketing analytics and OR
Manufacturing management Marketing analysis and modelling
Logistics Marketing research methods Management School:
Strategic SCM Multivariate statistics for data mining
Credit scoring
Optional modules SAS for data analysis and modelling
Problem structuring Forecasting
Computer simulation
Public sector analysis Optional modules
Forecasting E-marketing
Stochastic modelling Software support for logistics and SCM
Optimisation and heuristics Revenue management
Revenue management Strategic supply chain management
E-business International marketing
Problem structuring
E-business
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