PCF7205 Research Project

Course Unit Title

PCF7205 Research Project

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Course Unit Description

This module seeks to establish the link between the real-world problems and Management literature. It further explores the role of literature review in converting real problems into research questions. Applied research methodologies, deductive and inductive research methodologies their use and limitations. The nature and sources of business data. Using qualitative research methods to solve business problems, including action research, grounded theory, ethnography, and their limitations. Techniques of qualitative research including interviews, observations, interpretation, and analysis of qualitative and quantitative data. Using quantitative research methods in business and management and limitations. Techniques of quantitative research methods including questionnaire, sampling methods, descriptive and inferential statistics including contingency tables and tests of independence. Presentation and analysis of quantitative data. Criteria for evaluation of alternative research methods. Writing research projects and reporting research findings.

Course objectives
This course aims to expose Learners to;

  • The concepts and nature of ICT / management research. 
  • The idea of formulating and clarifying appropriate research topics.
  • Qualitative research methods, questionnaire design, sample size, sampling methods.
  • Underlying principles of collecting, classifying, analyzing and interpreting numerical facts or data. 
  • Analyses quantitative data, descriptive and inferential statistics including contingency tables, chi-square test of    independence by.

Expected Learning outcomes
Upon successful completion of this module, students will be able to:

  • Apply, compare and examine the different research methodologies as used in Forensic research. 
  • Demonstrate a clear understanding of the type and source of business data handling techniques.
  • Analyse quantitative and qualitative business / management data and arrive at appropriate conclusions by using modern statistical tools and packages.