BUS7033 - Research Methods and Analytics

Objectives:

On successful completion of the module, students will be able to:

1 - Define and explain different research designs and justify appropriate paradigms designs
2 - Understand the process of critically analysing and synthesising existing literature
3 - Demonstrate understanding of data collection methods and sampling and address ethical standards in research and analytics
4 - Understand the application of qualitative and quantitative analytical methods
5 - Write a comprehensive research proposal effectively communicating the rationale, design and expected outcomes.

Content:

This module is designed to provide students with a well-rounded understanding of research methods and analytics, preparing them for advanced research. The "Research Methods and Analytics" module is independent of the “Masters Research Project” and does not directly relate to it.

1. Introduction to Research and Literature Reviews:

- Define and explain different research designs and justify appropriate research paradigms designs
- Conduct a thorough literature review to identify gaps, trends and relevant theories by critically analysing and synthesising existing research.

2. Research Methodology:

- Quantitative and Qualitative methods, sampling techniques and sample size determination
- Introduction to ethics and ethical considerations in the research process.

3. Qualitative and Quantitative Analytics:

- Qualitative research methods such as interviews, focus groups and content analysis. Develop skills in using qualitative analysis software
- Statistical techniques for analysing data, hypothesis testing, regression and time-series analysis using software.

Learning and Teaching Information:

The module aims to provide students with a comprehensive understanding of research methods and analytics principles and their practical applications in business. In a workshop setting, the learning and teaching will be centred around case studies, ensuring that students are well-equipped to apply the qualitative and quantitative techniques to real-world challenges.

There are several software tools and platforms available for analytics. The choice of software often depends on the specific requirements of the analysis, the scale of the data and the preferences of the users. We will source the appropriate software to provide the best student experience.

Workshops
Hours: 40
Intended Group Size: Cohort

Guided independent study
Hours: 260

Further Details Relating to Assessment

Project Proposal Poster Exhibition - The Project Proposal Poster Exhibition allows students to visually communicate their research concepts. Exhibits should provide an overview of the research topic, highlight the key theoretical and conceptual elements, outline the planned methodology and discuss the project's potential impact and relevance. The focus is on using creative visuals to present these components clearly and succinctly, emphasising clarity, coherence and the ability to engage an academic audience.

Project Proposal - The project proposal should evaluate the purpose of the study, research questions, initial literature review, justification of methodology and methods and feasibility. The feedback from the poster exhibition should be incorporated in this project proposal submission.

Formative feedback on module activities will be present throughout the module.

Full details are available in the Module Handbook.

Assessment:

001 Project Proposal Poster Exhibition. 2000 words or equivalent. Mid-term 2. 40%
002 Project Proposal, 3000 words or equivalent. End of term 2. 60%

Fact File

Module Coordinator - Efan Johnson
Level - 7
Credit Value - 30
Pre-Requisites - NONE
Semester(s) Offered - 7T2

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