Centre for Professional Development and Lifelong Learning

Accounting and Finance

Research Methods for Business and Social Sciences

Overview

This research methods course will introduce graduate students to a range of research methods, designs, techniques and analyses in the quantitative and qualitative methodologies that are essential to effective and efficient decision-making in various domains and sectors of business and wider society. This course will seek to integrate relevant material and topics from other courses in the programme so that students can have the opportunity to apply these methods and techniques within a domain most relevant to their area of study. Key subject areas include design, literature reviews, data-collection methodology, data analyses, and report writing.
 

What will I Learn?

 
On successful completion of this course, students will be able to:
 

  • Implement the main stages of the overall research process.
  • Examine the major philosophical perspectives underlying various research approaches within this process.
  • Develop clear, sound, and testable research hypotheses, questions and objectives.
  • Identify scientific literature in order to develop comprehensive and critical literature reviews for research.
  • Gather scientific literature in order to develop comprehensive and critical literature reviews for research.
  • Select a range of study designs, sampling methods, and data-collection techniques for the execution of research projects in academic and applied settings.
  • Implement a range of study designs, sampling methods, and data-collection techniques for the execution of research projects in academic and applied settings.
  • Develop survey questionnaires and interview schedules.
  • Identify a range of statistical techniques and procedures for quantitative research projects using computer software packages such as the Statistical Package for the Social Sciences and Microsoft Excel.
  • Conduct a range of statistical techniques and procedures for quantitative research projects using computer software packages such as the Statistical Package for the Social Sciences and Microsoft Excel.
  • Identify key data-analysis techniques in qualitative research such as content and thematic analysis.
  • Implement key data-analysis techniques in qualitative research such as content and thematic analysis.

 
 

Who Should do this Course

Important Information

Good managerial decision-making is necessary for effective action and implementation. However, good decisions require systematic, data-based, critical, and objective methods, procedures and analyses. Research represents the principal means of arriving at decisions and practices that promote prompt problem-solving, increased productivity and performance, and increased overall organisational effectiveness and efficiency. Hence, this course will seek to provide a comprehensive understanding of research methodology and techniques for use in academic and business settings. It will also seek to develop students’ competency in the use of data analysis tools.
 

At a Glance

  • Admissions Term: 2025/2026 Semester I
  • Date: September to December 2025
  • Time: 5:00 p.m. - 8:00 p.m. AST
  • Duration: 1 semester
  • Certificate Awarded: Postgraduate Professional Development Certificate of Competence
  • Course Code: MGMT 6901
  • Capacity:
  • Cost: BDS $2,050 (USD $1,025) {with assessment}; BDS $1,750 (USD $875) {without assessment}

The following topics/concepts/theories/issues will be addressed:
 

  • Introduction to Research
  • Choosing and Focusing a Research Topic, and Developing Research Questions, Hypotheses/Objectives
  • Literature Reviews: Purpose, Process, Procedures
  • Study Designs in Qualitative and Quantitative Research
  • Reliability and Validity in Research
  • Designing Research Instruments: Principles, Process, and Procedures
  • Sampling: Principles, Process, and Procedures
  • Data-Collection Procedures and Ethics in Research
  • Introduction to Quantitative Data-Analysis I: Using SPSS
  • Quantitative Data-Analysis III: Inferential Statistics using SPSS
  • Quantitative Data-Analysis IV: More Inferential Statistics Using SPSS
  • Qualitative Data Analysis and Course Review

 
 

The course will be assessed utilising coursework and a final examination weighted as follows:
 
Final exam – 50%
The 2-hour final exam may consist of data analysis questions, case analysis, short-answer questions, and/or problem-solving questions.
 

  • Coursework – 50%
  • Assessed coursework comprises three assignments:
  • A written research proposal 25%
  • Methodology/Data-Collection Exercise and Presentation 15%
  • SPSS Data-Analysis Exercise 10%

The course equips students with the necessary skills, tools
and knowledge to utilise and apply a wide range of
qualitative and quantitative research procedures and
techniques in the world of work. The use of case scenarios,
practical exercises, oral presentations, and interactive
tutorials and lectures seeks to enhance the students’
learning experience in the classroom. Much focus is placed
on the integration of relevant concepts and principles, and
the application of these elements to practical business
situations. The use of various technological media such as
DVDs and videos on research methodology and data analysis will aid in the teaching of critical and complex concepts and methods.
 
Teacher-student interaction, online educational technology/media, and practical exercises have been
researched to be effective methods of instruction that
promote learning within and outside the classroom.
Students will be provided with marking rubrics for each coursework assessment to guide them through the necessary components that will be critical for the development of these assessment pieces.