Advanced Quantitative Methods - MAN00012I

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  • Department: The York Management School
  • Module co-ordinator: Dr. Harry Venables
  • Credit value: 20 credits
  • Credit level: I
  • Academic year of delivery: 2019-20

Module will run

Occurrence Teaching cycle
A Autumn Term 2019-20

Module aims

This course is intended as an advanced consideration of quantitative methods and reasoning for finance and management students, although other social scientists make use of the some of the main principles and procedures we will examine. Most of the techniques are fairly standard and are employed in the exploratory data analysis approach. Along with discovering statistics using SPSS/Excel, we will examine a variety of professional journal articles representing management, finance and allied disciplines. Overall, this course is about learning how to use quantitative methods to solve research problems and to improve decision making.

Module learning outcomes

Therefore, the primary objectives of this course are:

  • to introduce you to the quantitative analysis of multivariate data using computers; to help you to become a thoughtful and informed consumer of the quantitative management and finance literature;
  • to discuss in detail the sorts of problems that can be addressed quantitatively in management and finance with multivariate data analysis;
  • to comprehend and critically evaluate the use of multivariate data in the published academic management and finance literature
  • The module also aims to encourage the development of IT skills and in particular the manipulation of data using statistical software packages. Students will also improve their ability to translate abstract theoretical concepts into practical solutions to financial problems.

Assessment

Task Length % of module mark
Essay/coursework
Advanced Quantitative Methods
N/A 100

Special assessment rules

None

Reassessment

Task Length % of module mark
Essay/coursework
Advanced Quantitative Methods
N/A 100

Module feedback

Module assessment reports to students are written by the module leader for all assessments (open and closed) and placed on the VLE after the Board of Examiners has received the module marks.

The timescale for the return of feedback will accord with TYMS policy

Indicative reading

Oakshott, L., (2012). Essential Quantitative Methods for Business, Management & Finance, 5th Edition, Palgrave

Field, A. P., (2009). Discovering Statistics using SPSS, 3rd Edition, Sage, London.



The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.