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Postgraduate Courses 2016

Business Analytics - MSc

Canterbury

Overview

Gain in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills.

In the era of Big Data, analytics is becoming a strategic necessity in virtually all areas of business and is an essential tool to drive real-time decisions, foster evidence-based decision-making and sustain competitive advantage. According to a recent ranking by US News and World Report, Operations Research Analyst is ranked second in the Best Business Jobs of 2016, and Harvard Business Review claims Data Scientist is the 'sexiest job of the 21st century' with practitioners having rare and highly sought-after skills.

To meet the growing demand for graduates with analytics capabilities, the MSc in Business Analytics degree equips you with the latest analytics tools to analyse and interpret data, forecast future trends, automate and streamline decisions, and optimise courses of action. Emphasis is placed on learning fundamental analytics techniques, such as statistical analysis, data mining, forecasting and regression, optimisation, simulation and spreadsheet modelling among others.

You will learn how to apply descriptive, predictive and prescriptive modelling techniques to help organisations improve performance, explore alternatives, and anticipate and shape business outcomes in a rapidly changing environment. Upon graduation, you will be ready to start a fast-track career in a variety of industries and sectors including airlines, manufacturing companies, energy, healthcare delivery, banking, marketing and government.

Students enrolled in the programme have the opportunity to work for real organisations, improve their consultancy skills and enhance their employability through the Student Implant Scheme, which bridges the gap between classroom learning and the real world. Students are also involved in a variety of activities, including case studies, team project work, guest lectures and industry visits.

Software demonstration workshops supported by IBM/ILOG are regularly organised to support the teaching of state-of-the-art analytics packages including IBM Watson Analytics, R, SPSS, Weka, MS Excel and VBA, as well as optimisation packages including Optimization Programming Language, IBM/ILOG, CPLEX and Simul8.

This programme is ideal for graduates with a good background in a quantitative area who are seeking to gain an in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills.

Funding opportunities

The Business School has a wide range of funding opportunities for postgraduate students, which include Scholarships, Bursaries, the Double Loyalty Scheme for University of Kent undergraduates and the KBS Early Bird Scheme. The Early Bird equates to a 10% discount on tuition fees.

For more information on funding available from the University of Kent, please visit the Student Funding page.

About Kent Business School

Kent Business School has over 25 years’ experience delivering business education. Our portfolio of postgraduate programmes demonstrates the breadth and depth of our expertise. Academic research and links with global business inform our teaching, ensuring a curriculum that is relevant and current. We are ranked as a top 30 UK business school for the standard of our teaching and student satisfaction. We also hold a number of accreditations by professional bodies.

Studying at Kent Business School (KBS) gives you the opportunity to increase your employability with real-life case studies, a student council and a business society. We have strong links to local and national organisations providing opportunities for projects, internships and graduate placements. The School attracts many high-profile speakers from industry and last year included visits and lectures from staff of the Bank of England, BAE Systems, Barclays, Lloyds Insurance, Cummins, Delphi and Kent County Council.

The School currently has 60 PhD students, who form a dynamic and close-knit research community.

National ratings

In the Research Excellence Framework (REF) 2014, we were placed 25th (out of 101 institutions) in the UK for research intensity in business and management studies and 98% of our research was judged to be of international quality. The School’s environment was judged to be conducive to supporting the development of research of international excellence.

The School was also ranked 24th for its breadth and depth of research across the whole community of research active staff by the Association of Business Schools.

Course structure

You study six compulsory modules and three optional modules. The compulsory modules are Applied Business Modelling, Business Statistics and Database Management, Consultancy and Research Skills, Data Mining and Forecasting, Management of Operations, Management Science Modelling and Dissertation.

Modules

The course structure provides a sample of the modules available for this programme. This listing is based on the current curriculum and may change year to year in response to new curriculum developments and innovation.  Most programmes require you to study a combination of compulsory and optional modules. You may also have the option to take ‘wild’ modules from other programmes offered by the University in order that you may explore other subject areas of interest to you or that may further enhance your employability.

CB8005 - Consultancy and Research Skills (15 credits)

This module develops the necessary knowledge and skills for students to be able to successfully complete a scholarly dissertation or a consultancy project under the supervision of a member of staff.



Topics to be covered include:

• Identifying suitable dissertation/project topics

• Searching and reviewing the literature

• Choosing suitable methods and approaches from the MSc Management Science/Business Analytics Programme

• Collecting and analysing data

• Preparing the dissertation proposal

• Structuring and writing the dissertation

• Analysing the different consultancy stages

• Understanding the skills, processes, and risk involved in management consulting

• Managing projects delivery

Credits: 15 credits (7.5 ECTS credits).

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CB9035 - Applied Business Modelling (15 credits)

The module aims:



• To understand the nature and importance of business and management modelling in practice.

• To appreciate the use of modern scientific management techniques and how real-world systems may be represented and solved quantitatively using computer software such as Excel Solver.

• To recognise managerial problems that can be modelled and analysed using quantitative techniques.



The module will be covered from the following topics:



• The applications of suitable management science models for marketing, finance and production management, among others.

• Analysing Complex Decisions: How to determine optimal strategies in situations involving several decision alternatives?

• Transportation and Networks Design: transportation systems; assignment problems; shortest route (e.g. ambulance service routing); maximum flow (e.g. shipping); minimum spanning tree (e.g. computer/telephone networks).

• Forecasting Techniques: Time series models; Regression analysis, etc.

• Managing Complex Projects: planning large projects; resource scheduling; cost scheduling; material management and inventory control (e.g. how much to order and when to order decisions).

Credits: 15 credits (7.5 ECTS credits).

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CB9040 - Data Mining and Forecasting (15 credits)

Detecting differences between groups:

Testing for normality, choosing the most appropriate test, interpreting the results


Classification and cross-classifications:

Measures of association; Goodman-Kruskal’s gamma; Chi-square tests


Data reduction and exploration:

Principal components; factor analysis; cluster analysis; property-fitting.


Forecasting methods:

Moving averages, exponential smoothing and measures of forecasting accuracy


Drivers of Change in Sales Demand:

Managing weather and seasonal changes in sales demand


The computer package SPSS will be used for this course including EXCEL in some occasions.

Credits: 15 credits (7.5 ECTS credits).

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CB932 - Management of Operations (15 credits)

The aims of the module are to:



• Review how operations can deliver real competitive advantage.

• Review the overall operations management task, market issues and the development of business and operations strategies, and the management of people.

• Develop a capacity for analysing operating problems, using the appropriate techniques to improve the operations functions.

• Allow students to develop their personal learning skills, group working skills, and their ability to critically analyse the techniques used within operations management taking account of the organisational context.



Topics to be covered will include:



• Managing operations in the manufacturing and service sector; the operations manager’s task and role.

• Operations strategy, levels of strategy; linking the different levels of strategies through markets.

• Designing and developing services, products and delivery systems to achieve strategic objectives.

• Managing and controlling the operations system: MRP, JIT, TQM, Six-Sigma, inventory, and supply chain.

• Improving operations: measuring productivity and performance, tools and techniques for improvement.

Credits: 15 credits (7.5 ECTS credits).

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CB969 - Business Statistics and Database Management (15 credits)

Descriptive statistics:

Levels of measurement, measures of central tendency, measures of spread, statistical plots, statistical confidence limits, outliers, continuous data



Statistical reasoning:

Data and Statistics; hypotheses, decisions, and risk; type 1 and type 2 errors; statistical debate



Basic probability:

The addition and the multiplication rule; independent events and mutually exhaustive events, Bayes theorem



Probability distributions:

Binomial, Poisson, normal, combination of random variables



Database Management

Database systems



Structured Query Language (SQL)

SQL

Credits: 15 credits (7.5 ECTS credits).

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CB997 - Management Science Modelling (15 credits)

The aim of the module is to give students an intensive and rigorous grounding in management science modelling and provide students with a standard set of solution methods for a wide range of the most commonly occurring quantitative problems.



The course will be covered from the following topics



Linear Programming Models:



• Introduction and Formulation

• Solution Methods

• Sensitivity Analysis

• Typical Applications: Financial, Marketing, Production Management, etc.



Network Models:



• Transportation, Assignment, Shortest Route, Maximum Flow, Minimum Spanning Tree



Project Management:



• PERT/CPM



Deterministic Inventory Models:



• Basic EOQ Models

• Economic Production Lot-size Models



Integer Programming Including ILP Models:



• Introduction and Formulation

• Solution Methods (LP Relaxation, Branch and Bound, Cutting Plane Algorithms)

• Applications Involving 0-1 variables: Capital Budgeting, Fixed Cost, Distribution System, Design, Location, Product Design and Market Share Optimization

Credits: 15 credits (7.5 ECTS credits).

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CB996 - Introduction to Logistics and Supply Chain Management (15 credits)

The module consists of the following parts:



• Overview of Logistic Systems and Supply Chain (SC)

• Definition and discussion of the main SC drivers including responsiveness vs. efficiency

• The facility location activity

• The distribution activity including transportation

• The inventory activity

• The forecasting and sale activities

• Marketing, sourcing, procurement and technology.

• Analysis of some cases studies and use of excel throughout whenever found necessary

Credits: 15 credits (7.5 ECTS credits).

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CB934 - Strategy (15 credits)

The strategy module has two main learning components:



• Acquiring theory and concepts in strategy and strategic management.

• Application of theory and concepts to the analysis of organisations.



The aim is to critically examine and provide insights into the practice and process of strategic management within a variety of private and public sector organisations.



What actions can employees pursue in order to attain superior performance for their organisation relative to their competitors? This course is designed to allow students to develop their skills of strategic analysis and their ability to think about the selection and implementation of appropriate strategies in different industry contexts and in different types and styles of organisations, including non-profit and public sector organisations.



Topics include:



• What is Strategy, and Why is it Important?

• The Context of Strategy

• Competitive Strategy and Strategic Choices

• Resource Based Strategy

• Managing Strategic Change

• Corporate Social Responsibility

• Strategy in the Food sector

Credits: 15 credits (7.5 ECTS credits).

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CB937 - Financial and Management Accounting (15 credits)

The module content will include:

• The nature and purpose of accounting and its management interface

• Concepts underpinning accounting systems and financial statements

• The construction of the primary financial statements and their interpretation and evaluation

• The regulatory framework of financial reporting

• Corporate governance

• The cash cycle and its management.

• Classification and behaviour of costs

• Short-term decision techniques

• Costing systems and costing for overhead expenditure

• Budgeting and the budgetary process

• Accounting control information

• Investment appraisal

• Responsibility accounting systems and performance appraisal measures, including the Balanced score card.

Credits: 15 credits (7.5 ECTS credits).

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CB952 - Integrated Marketing Communications (15 credits)

The module content will include:



* The communications process

* Advertising

* Strategy and media planning

* Image, brand management and packaging

* Direct marketing

* Digital and interactive media

* Sales promotion, merchandising and point of sale

* Public relations and corporate identity

* Exhibitions, trade shows, product placement and sponsorship

* Personal selling and sales management

Credits: 15 credits (7.5 ECTS credits).

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CB953 - International Marketing Strategy (15 credits)

This module will combine lectures and seminars to present, transfer, discuss and summarise international marketing concepts and frameworks. Specifically the module will cover the following topics:



1) Analysis of socio-economic and cultural conditions in international markets

2) Marketing research and intelligence

3) Identification of International segments and niche markets

4) Alternative international market entry methods

5) Corporate and business ethics in international contexts

6) International marketing mix strategies

Credits: 15 credits (7.5 ECTS credits).

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CB966 - Simulation and Optimization Software (15 credits)

The aim of the module is to give students hands-on experience in using industry-standard optimization and simulation modelling software in order to structure and solve complex and large-scale managerial problems.



Optimisation Modelling - this topic will involve:



• Learning about how to efficiently formulate linear/integer programming models

• How to use commercial software to build and solve optimisation models

• How to use optimisation software to solve and analyse business related problems of operational/tactical/strategic importance (e.g. project investment, logistics, and location planning)

• The importance and steps involved with carrying out a sensitivity analyses (e.g. the meaning of dual variables

• How to calculate the range of optimality of input variables)



Discrete-Event Simulation - this topic will involve:



• Learning basic queuing theory, including its key assumptions, benefits and limitations

• Core theory and technical details pertaining to discrete-event simulation

• How to build working simulation models using commercial software that mimic real-world systems

• The meaning of common discrete/continuous distributions and how they can be used to model key aspects of a problem

• How to systematically analyze the results of a model.

Credits: 15 credits (7.5 ECTS credits).

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CB968 - Performance Management (15 credits)

The aim of the module is to introduce students systematically to the range of activities in performance evaluations, mainly adopting quantitative approaches; to enable students to gain an understanding of the suitable quantitative approaches used in performance evaluations (and related areas).



The module will cover:



• Introduction and Issues in Strategic Performance Management

• Basic Structures of Performance Management

• Main Approaches in Strategic Performance Management

• Performance Measurement

• Approaches in Performance Evaluation of Companies

• Classic DEA Models

• Approaches in Performance Evaluation of Public Sectors

• Extensions of Classic Models

Credits: 15 credits (7.5 ECTS credits).

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CB9058 - Warehousing and Transport Management (15 credits)

The module is divided into three parts outlined below.



1) Warehousing/Storage:



o The Warehouse Location



o Layout problem



o Warehousing (storage equipment, picking strategies, packaging, labelling)





2) Inventory management



3) Distribution & Global Transportation



o Global Transportation (air, sea, railroads, trucks, motorbikes/bicycles, pipelines, others)



o Techniques used (routing methods, shortest paths, transport, flows)



o Transport/road technology including software and hardware (trucking devices, software used, etc)



o Transport modelling and its impact on the environment and safety (multi-objective models between cost, slow-steaming, environment or risk)

Credits: 15 credits (7.5 ECTS credits).

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CB9066 - Applied marketing research (15 credits)

The module content will include:

• What is marketing research

• Buyers and sellers in the research process

• The marketing research industry

• Qualitative and quantitative techniques in marketing research

• Secondary data and marketing intelligence

• Observational techniques in marketing research

• Experiments and test marketing

• Questionnaire design and implementation

• Cross cultural issues in marketing research

• Communicating marketing research results

Credits: 15 credits (7.5 ECTS credits).

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CB904 - Structure and Organisation of the E-Commerce Enterprise (15 credits)

The module aims to give students the opportunity to become familiar with:



• Internet technology and infrastructure.



• Technology planning and management.



• Acquisition and development of organisational capabilities.



• Extension of organisational capabilities through technology and networks.



Topics to be covered will include:



• To introduce E-Commerce business models and competitive advantage.

• To explain Internet technologies and infrastructure.

• To understand Organisational IT (and IT infrastructure) management especially in relation to information, networks and the Internet.

• To realise the social, legal and ethical issues arising from the wide use of the Internet (e.g. security, privacy, identity, intellectual property).

• To introduce the notion of firm capabilities.

• To show how firms can obtain, develop and retain capabilities.

• To show the importance of organisational structure and management.

• To explain generic activity and process models.

• To show how capabilities can be extended through virtual organisation.

Credits: 15 credits (7.5 ECTS credits).

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CB859 - Managing the Multinational Enterprise (15 credits)

The aims of the module are:



• Analyze the modern multinational enterprise and its evolution.

• Explore the various ways multinationals are expanding and organized.

• Investigate the different subsidiary mandates.

• Critically examine innovation management within the multinational enterprise.



The module content will include:



• Evolution of the Multinational Enterprise – Multinational Enterprise Theories.

• Multinationals and their Difference from Domestic Firms (Hymer’s approach to the Modern Multinational, Modes of Internationalization).

• Integrated Approaches – The Eclectic Framework and the Investment Development Path.

• Strategy and the Multinational Enterprise.

• Integration Responsiveness Framework – Multinational Structures and Roles of Subsidiaries.

• Organization of the Multinational Network – Heterarchy vs. Hierarchy, Subsidiary Mandates.

• Technological Innovation and the Multinational.

• Cultural Differences and Multinational Performance.

• Unifying Approach –Global Value Chain.

Credits: 15 credits (7.5 ECTS credits).

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CB986 - Dissertation (45 credits)

This module develops the necessary knowledge and skills for students to be able to successfully complete a scholarly dissertation under the supervision of a member of staff. Topics to be covered include:

• Identifying suitable dissertation topics

• Searching and reviewing the literature

• Choosing suitable methods and approaches from the MSc in –Management Science and Business Analytics

• Collecting and analysing data

• Providing a solution to a practical problem - - by using quantitative techniques learned in the programme

• Analysing the results and providing recommendations relevant to practitioners

• Structuring and writing the dissertation

Credits: 45 credits (22.5 ECTS credits).

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Teaching and Assessment

The programme involves a taught and a project component. The taught programme is assessed by a mixture of coursework assignments throughout the year, and by examinations in May and June.

Once these are completed, you then work full-time on the project and write a dissertation based on this. This 8,000 to 10,000 word dissertation is an opportunity to apply the techniques and insights presented in the programme and apply them to a particular problem area.

Programme aims

The programme aims to:

  • educate you to become business analytics specialists, improving the quality of the business analytics profession
  • prepare you to be operationally effective in business analytics and/or for further study or an academic career in the area
  • provide in-depth study in business analytics, including a strong theoretical base and a range of skills relevant to practice
  • add value to a first degree by offering theoretical and practical exposure to problem-solving techniques for effective decision making in a range of complex strategic, operational and managerial situations
  • provide career development opportunities for individuals who are already experienced managers  wishing to enhance their knowledge and understanding through a structured course of study
  • enhance lifelong learning skills and personal development, enabling you to contribute to business and society at large
  • develop a range of cognitive, critical and intellectual skills, together with research and personal/interpersonal skills
  • develop the ability to conduct research into business and management issues, either individual or as part of a team, through research design, data collection, analysis, synthesis and reporting
  • provide teaching and learning opportunities informed by high-quality research and scholarship
  • develop new areas and methods of teaching in response to the advance of knowledge, changes in technology and the needs of students
  • meet the growing market demand for highly skilled analytics workers.

Learning outcomes

Knowledge and understanding

You gain knowledge and understanding of:

  • organisations, their external context and how they are managed
  • the application of business analytics knowledge to a range of complex situations
  • current issues in business analytics, which is informed by leading-edge research and practice in the field.

Intellectual skills

You gain the ability to:

  • creatively apply knowledge of business analytics and understand in practical terms how established techniques of research and enquiry are used to develop and interpret knowledge in business and management
  • evaluate the rigour and validity of published research, assessing its relevance to new situations
  • extrapolate from existing research and scholarship to identify new or revised approached to practice
  • be adaptable and demonstrate originality, insight, critical and reflective abilities, which can be applied to problem situations
  • evaluate and integrate theory and practice in a wider range of situations
  • take responsibility for continuing to develop your own knowledge and skills.

Subject-specific skills

You gain the ability to:

  • understand appropriate techniques sufficient to allow detailed investigation into relevant business and management issues
  • acquire and analyse data and information, evaluate their relevance and validity, and synthesise a range of information in the context of new situations
  • conduct research into business analytics issues that requires familiarity with a range of business data, research sources and appropriate methodologies, informing the overall learning process
  • consistently apply knowledge and subject-specific and wider intellectual skills
  • deal with complex issues both systematically and creatively, and communicate their conclusions clearly to a range of audiences.

Transferable skills

You gain the ability to:

  • communicate effectively, both orally and in writing, using a range of media
  • operate effectively in a variety of team roles and take leadership roles, where appropriate
  • be proactive in recognising the need for change and have the ability to manage change
  • make decisions in complex and unpredictable situations
  • be self-directed and able to act autonomously in planning and implementing projects at professional levels.

Careers

You gain much more than an academic qualification when you graduate from Kent Business School – we enhance your student experience and accelerate your career prospects.

From the moment you start with us, our efforts are focused on helping you gain the knowledge, skills and experience you need to thrive in an increasingly competitive workplace.

In today’s business climate employers are increasingly demanding more from new employees, we are therefore proud that they continually target our graduates for their organisations across the globe. Employers respect our robust teaching and reputation for delivering international business expertise, leading global research and an outstanding international learning experience.

Recent graduates have gone on to work for Barclays Capital, British Embassy, Gray Robinson PA and Holiday Extras.

To find out more about business analytics and future career prospects, see the following links.

Professional recognition

Kent Business School is a member of the European Foundation for Management Development (EMFD), CIPD, CIM and the Association of Business Schools (ABS). In addition, KBS is accredited by the Association of MBAs (AMBA).

Study support

Postgraduate resources

Kent Business School occupies a purpose-designed building consisting of executive learning facilities with wireless provision throughout. Each postgraduate student is assigned a specific member of academic staff who acts as your first point of contact throughout your studies. There is a lively postgraduate community at the School, with plenty of space to relax and interact with your fellow students and our academic staff.

An international focus

Kent Business School has more than 60 internationally recognised academics from 22 different countries. Most of our teaching faculty are involved with researching the latest issues in business and management, working with organisations to provide new insight for business leaders and policymakers. Their knowledge and findings feed into the programmes to ensure they are both cutting-edge and globally relevant.

Worldwide partnerships

Kent Business School has close links with: ifs (Institute of Financial Services); dunnhumby, who partners the Consumer Insight Service in the Centre for Value Chain Research; Hong Kong Baptist University, with whom we offer a joint Master’s programme in Operational Research and Finance Business Statistics; University of Castellanza (Italy); Audencia Nantes Business School (France); Aarhus School of Business and Social Sciences (Denmark); Universiti Teknologi Malaysia; University of Ingolstadt, Bayern (Germany); City University of Hong Kong; Renmin University of China, School of Business.

Dynamic publishing culture

Staff publish regularly and widely in journals, conference proceedings and books. Among others, they have recently contributed to: Critical Perspectives on Accounting; Quantitative Finance; Human Resource Management Journal; Journal of Product Innovation Management; European Journal of Operational Research; and Psychology & Marketing.

Global Skills Award

All students registered for a taught Master's programme are eligible to apply for a place on our Global Skills Award Programme. The programme is designed to broaden your understanding of global issues and current affairs as well as to develop personal skills which will enhance your employability.  

Entry requirements

Students who wish to apply for a higher degree should have a good honours degree from the UK or equivalent internationally recognised qualification, in a quantitative discipline, such as statistics, logistics, mathematics, engineering or any other mathematically based natural science discipline. Consideration will be given to those applicants holding a good second class honours degree.

Applicants without an honours degree may also be considered on the basis of work experience, professional qualifications and the relevance of the programme to their current professional role.

General entry requirements

Please also see our general entry requirements.

English language entry requirements

For detailed information see our English language requirements web pages. 

Please note that if you are required to meet an English language condition, we offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways.

Research areas

Research activities at Kent Business School are broadly organised into six areas;

Our Management Science group covers a wide range of research areas in Operational Research and Systems Thinking. These include research in the area of logistics including green logistics and network security with a special emphasis on the innovative design and analysis of heuristic and exact optimisation, DEA, operation management, multi-variate analysis, biometrics, multi-methodology and Soft OR/Systems. The group is now a member of NATCOR.

For more information, see our Applied Research Centres:

Staff research interests

Full details of staff research interests can be found on the School's website.

Dr Adolf Acquaye: Lecturer in Sustainability

Sustainability Research in Business Practice and CSR; Lifecycle Assessments; Environmental Modelling and Scenario Developments; Supply Chains Management; Procurement; Sustainable Frameworks and Resource Accounting; Climate Change Policy and Mitigation; Development of Decision Support Tools; Sustainable and Renewable Energy Systems.

Profile

Professor Steve Wenbin Liu: Professor of Management Science and Computational Mathematics

Performance management; bibliometrics; DEA; optimisation.

Profile

Professor John Mingers: Professor of Operational Research and Systems

Multimethodology; pluralism; critical realism; ethics; Habermas systems; SSM; soft systems; Bhaskar semiotics; bibliometrics; h-index; citations; journal ranking.

Profile

Dr Gabor Nagy: Senior Lecturer in Management Science

Logistics problems such as Facility Location and Vehicle Routing. Heuristics, exact methods.

Profile

Dr Jesse O'Hanley: Senior Lecturer in Environmental Systems Management

Integer programming; heuristic algorithms; facility location; biodiversity conservation; natural resource management; fish passage; species distribution modelling; climate change impacts; nature reserve selection.

Profile

Professor Said Salhi: Professor of Management Science and Operational Research

Logistics; routing problems; location problems; heuristics; optimisation.

Profile

Dr Maria Paola Scaparra: Reader in Management Science

Mathematical modelling; network and combinatorial optimisation; location analysis; infrastructure protection planning; supply chain reliability.

Profile

Dr Niaz Ahmed Wassan: Reader in Management Science

Vehicle Routing and its Variants; Supply Chain Management; Classical Heuristics and Meta-heuristics Optimisation; Tabu Search (Reactive Tabu and Adaptive Memory Programming); Variable Neighbourhood Search; Simulated Annealing, Genetic Algorithms; Hybrid heuristic methods.

Profile

Dr Shaomin Wu: Reader in Business-Applied Statistics

Stochastic operations research; statistical data analysis; warranty management; reliability analysis and maintenance policy optimisation.

Profile

Mr Tuan Yu: Lecturer in Organisational Management and E-Commerce

The role, effective use, leadership and management of technology in organisations and the opportunities as well as the organisational and operational challenges, issues and problems that can arise out of this.

Profile

Enquire or order a prospectus

Resources

Contacts

Admissions enquiries

T: +44 (0)1227 827272

E:information@kent.ac.uk

Subject enquiries

T: +44 (0)1227 827726

F: +44 (0)1227 761187

E: kbsadmissions@kent.ac.uk

School website

Fees

The 2016/17 annual tuition fees for this programme are:

Business Analytics - MSc at Canterbury:
UK/EU Overseas
Full-time £9880 £15690

For students continuing on this programme fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.* If you are uncertain about your fee status please contact information@kent.ac.uk

The University of Kent makes every effort to ensure that the information contained in its publicity materials is fair and accurate and to provide educational services as described. However, the courses, services and other matters may be subject to change. Full details of our terms and conditions can be found at: www.kent.ac.uk/termsandconditions.

*Where fees are regulated (such as by the Department of Business Innovation and Skills or Research Council UK) they will be increased up to the allowable level.

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The University of Kent, Canterbury, Kent, CT2 7NZ, T: +44 (0)1227 764000