Durham University
Programme and Module Handbook

Postgraduate Programme and Module Handbook 2010-2011 (archived)


Department: Economics, Finance and Business (Business)


Type Tied Level 4 Credits 15 Availability Available in 2010/11 Module Cap None.
Tied to N1KK17


  • None.


  • None.

Excluded Combination of Modules

  • None.


  • To provide students with a sufficiently detailed knowledge of methods for solving quantitative problems to permit them to appreciate material covered elsewhere in the MBA programme.


  • Data description.
  • The Normal distribution.
  • Inference: means, proportions, contingency tables (Chi-squared).
  • Applications of statistical models to management problems, e.g. risk and monitoring.
  • Linear models: simple regression and applications; introduction to linear programming.

Learning Outcomes

Subject-specific Knowledge:
  • By the end of this module, students should have a detailed knowledge of key concepts in data description and statistical modelling; monitoring and hypothesis testing; and linear models.
Subject-specific Skills:
  • By the end of this module, students should:
  • Be able to use a range of standard statistical tests and apply them to complex management problems;
  • Be able to use modelling applications within Excel and apply them to complex management problems.
Key Skills:
  • Written communication.
  • Planning, organising and time management.
  • Problem solving and analysis.
  • Using initiative.
  • Computer literacy.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Learning outcomes will be met through a combination of lectures, groupwork, case studies and discussion, supported by Distance Learning material. The written assignment will test students' understanding of, and ability to apply, relevant statistical and modelling techniques.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Workshops (a combination of lectures, groupwork, case studies, practical (computer) classes and discussion) 16
Preparation and Reading 134
Total 150

Summative Assessment

Component: Written Assignment Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
Written Assignment 4,000 words maximum 100%

Formative Assessment:

Quantitative exercises.

Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University