MSc International Fashion Retailing

Year of entry: 2024

Course unit details:
Dissertation

Course unit fact file
Unit code MATS65000
Credit rating 60
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Full year
Offered by Department of Materials
Available as a free choice unit? No

Overview

This unit provides the student with the opportunity to study and research in-depth and international fashion retail topic.

Aims

  • To provide students with an understanding of the process of research in the international fashion marketing area and provide students with experience of the research process including literature reviews and primary data collection and analysis.

Learning outcomes

A greater depth of the learning outcomes will be covered in the following sections:

  • Knowledge and understanding
  • Intellectual skills
  • Practical skills
  • Transferable skills and personal qualities

Teaching and learning methods

This unit is delivered by individual student work (normally 600 hours) and supported by a number of dissertation supervisions. Dissertation supervisions together with MATS67101 Research Methods should guide students through dissertation project.

Knowledge and understanding

  • Demonstrate in-depth and advanced knowledge, understanding and critical awareness of current issues in their subject, discipline or profession in an international context.
  • Demonstrate knowledge of professional responsibility, integrity and ethical considerations in an international context.

Intellectual skills

  • Demonstrate the cognitive skills of critical thinking, analysis and synthesis, including the capability to identify assumptions, evaluate statements in terms of evidence, to detect false logic or reasoning, to identify implicit values, to define terms adequately and generalise appropriately
  • Apply problem-solving and decision making abilities using appropriate quantitative and qualitative skills including identifying, formulating and solving business and technical problems associated with the fashion industry
  • Exercise original thinking and the ability to create, evaluate and assess a range of options together with the capacity to apply ideas and knowledge to a range of situations pertaining to fashion business

Practical skills

  • Find, evaluate, synthesise and use information from a variety of sources
  • Express ideas effectively and communicate information appropriately and accurately using a range of media

Transferable skills and personal qualities

  • Communicate complex ideas and arguments, in oral and written forms
  • Demonstrate a high level of professionalism, exercise initiative and show personal responsibility
  • Reflect on their own progress as a learner to identify strategies for improvement and development
  • Articulate awareness of the social and community context within their disciplinary field
  • Demonstrate independent learning ability to support their continued professional development

 

Assessment methods

Method Weight
Dissertation 100%

Feedback methods

Written and verbal.

Recommended reading

  • The following are recommended reading list with regard to Research Methods. Many of the resources have online access from Library.

  • Biggam, John. (2015) Succeeding with Your Master's Dissertation: a Step-by-Step Handbook (3rd ed.). Open University Press. (Online access available)
  • Collis, Jill, and Roger Hussey. (2013) Business Research a Practical Guide for Undergraduate and Postgraduate Students (4th ed.).  Palgrave Macmillan. (Online access available)
  • Please note that supervisors may guide you towards recommended reading for your specific research topic.
  • Quantitative Research

  • Comrey, A. L. and Lee, H. B. (1992) A first course in factor analysis (2nd ed.) Hove: L. Erlbaum Associates.
  • Field, A. P. (2009) Discovering statistics using SPSS (3rd ed.) London: SAGE.
  • Hair, J. F., Black, W. C., Babin, B. J. and Anderson, R. E. (2009) Multivariate data analysis: A global perspective (7th ed.) Upper Saddle River, N.J.: Prentice Hall.
  • Keller, D. K. (2005) Tao of Statistics: A Path to Understanding (with No Math): SAGE. (Online access available)
  • Pallant, J. (2010) SPSS survival manual: a step by step guide to data analysis using SPSS (4th ed.) Maidenhead: McGraw-Hill. (Online access available)
  • Tabachnick, B. G. and Fidell, L. S. (2007) Using multivariate statistics (5th ed.) London: Pearson.
  • Qualitative Data Analysis and Collection

  • Denzin, N. K. and

Teaching staff

Staff member Role
Mohammed Mirza Unit coordinator

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