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Opleiding: Management, MSc

Target audience

MSc Management is ideal for students wanting a lucrative career in a quantitative field of management such as business modelling or forecasting. The course will be of interest to all those who want to develop an understanding of management techniques, quantitative tools for decision-making, and key concepts in management practice. The course provides a quantitative and systematic approach to management suitable for students who have an analytic background.

 

Programme

The core modules introduce students to the theories and practices of business and management and cover a broad area including finance and statistical methods. In addition students study strategic modelling. Students may choose to specialise in either statistical methods used in forecasting or in management science techniques used to model decision making processes. It is expected that those on the Masterscourse will use these techniques learnt to analyse and study a significant business or management problem for their dissertation.

 

A variety of assessment methods are used including essays and reports, putting together a portfolio, oral presentations, analysing case studies and a dissertation.

 

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  Business and Management Concepts: Theory and Practice (30 Credits) - Compulsory

  This module builds students knowledge of business functions, business practices, and management challenges, as well as developing their skills in putting that knowledge into practice. It provides sufficient knowledge of organisational activities and processes to enable students to formulate and execute high level plans in organisations, having full regard for the impact of these on stakeholders, as well as taking account of the dynamics of the external environment. In particular, it aims to: explore the complexity and integrated nature of organisational functions, management activity, and external forces as these affect business strategy and performance; evaluate the application of tools and techniques of management, including resource allocation, performance management, and concepts of behaviour, to enhance organisational effectiveness and to investigate emerging issues and contemporary trends in management.

  Dissertation MSc Management (60 Credits) - Compulsory

  This module gives students an opportunity to synthesise and reflect on knowledge and skills developed during the programme as a whole and apply them to the formulation, design and execution of an original, independent research project addressing a substantive management problem. Emphasis is placed for the MSc dissertation on a research problem identified in such a way that it lends itself to a quantitative methodological orientation versus qualitative or a Systematic Literature Review. In particular the module aims to extend the knowledge and skills developed during the programme with extra training on research methods and methodology suited to an advanced-level, original piece of scholarship or professional research; to facilitate students understanding of the design and conduct of applied research; to support students individual synthesis and application of their knowledge to a selected management topic, reflected in formulation and design of a substantive research investigation.

  Models in Management Science (30 Credits) - Optional

  This module is concerned with identifying appropriate management science and operational research decision models to tackle identified quantitative problems in a business or other organisational context, and in using such models and interpreting the results. In addition attention is focused on resolving conflict through getting a greater clarification and understanding of the problems themselves.

  Quantitative Analysis for Managers (30 Credits) - Compulsory

  The principal aim of this module is to enable students to work productively in a dual mode: firstly, as an analyst who is able a to isolate and categorise a quantitative problem, b formulate an appropriate decision model and then c use that model to generate output to aid decision making; and secondly, as a user who commissions a study or uses results arising from one. In order to achieve this overall goal, it aims in particular to: - develop quantitative and analytical skills - provide a business perspective on decision making - explore different concepts involved in quantitative analysis - place an emphasis on the interpretation and validity of results obtained from different methods

  Statistical Methods for Quality and Forecasting (30 Credits) - Optional

  This module is concerned with statistical approaches to two problems of management, quality improvement and forecasting. The main aim is to show how statistics can make fundamental contributions to these problems, and to provide an appreciation of the role of statistical methods in a management context. More specifically, the aims are to provide an understanding of the methods of statistical process control; to introduce methods of experimental design and analysis within the context of quality improvement; to explain the role of forecasting in business and management and the contribution that statistical methods can make; and to provide tools for the development of a forecasting system.

  Strategic Modelling (30 Credits) - Compulsory

  Producing a good strategy requires management to go much beyond formulation. It needs to anticipate the critical issues that arise during execution of the organization s chosen strategies. This involves taking into account potential developments outside the organization that may have a significant impact on the path being traversed. It also includes integration of the dynamics arising from the process design of the tasks to be executed and the policies formulated and implemented to get these tasks completed. Such integration must span diverse functional areas such as operations, marketing, finance etc. Whilst this module will build on and integrate learning from other modules, a central aim of this module is to introduce the student to different modelling techniques and tools that will allow students to address the level of complexity and uncertainty facing organizations. The intention is that students, applying their knowledge of modelling complexity and uncertainty, will be able to provide realistic answers to relevant what-if questions, taking into account an appropriate degree of the real world. Specifically, students should be able to: recognize the nature of complexity and uncertainty in the real world; break down a complex task or objective into simpler components for analysis; analyse the potential nature of interaction and interdependencies that may be found within or across a set of components; convey to management the implications of such mechanisms over time Develop appropriate representations of such mechanisms in qualitative and quantitative ways Produce simple models that simulate the combined effect of such mechanisms, in order to develop appropriate policy recommendations and actions.

 

 

Entry Requirements

We welcome applications from graduates with a good honours degree, or equivalent qualification, in an appropriate subject. We also consider candidates with other relevant qualifications and individuals with a minimum of three years' work experience. Those without formal qualifications need to demonstrate relevant work experience and the ability to study at postgraduate level.

English language requirements

You must have competence in English language and we normally require Grade C GCSE or an equivalent qualification. The most common English Language requirements for international students are IELTS 6.5 or TOEFL (paper based) 575 or TOEFL (internet based) 90 with specified minimum scores for each component.

 

 

Professional perspective and employment market

A business or management degree opens the door to a range of careers - usually commanding good salaries.

Our MSc Management graduates have highly sought-after employment skills as well as those specifically associated with planning, organisation and control.

Where do our graduates go?
Based on data from respondents of the 2007 Destination of Leavers in Higher Education survey, six months after graduating

• 79% of Middlesex graduates were in employment
• 11% were assumed to be unemployed
• 10% were doing something else, such as travelling

 

 

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