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Pre-Doctoral/Master Program

Introduction to MPhil/MSc/MBA/PhD/DBA Research

 

Why Choose Introduction to MPhil/MSc/MBA/PhD/DBA Research?

 

The Research Club Pre-Doctoral/Master Program is specifically designed for students who want to fully prepare for a DBA or PhD or Master degree at any university in the world. Entry to doctoral or master studies is increasingly competitive so it is vital that you understand the research process and have a clearly defined research idea before embarking on a doctoral or master research program. This program will help you do just that.

 

Courses

Introduction to MPhil/MSc/MBA/PhD/DBA Research 1,2, 3 & 4

On completion of the four Introduction to MPhil/MSc/MBA/PhD/DBA Research courses, you will receive the award certification Research Methods

 

 

 

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Introduction to MPhil/MSc/MBA/PhD/DBA Research 1

The Basics - this course gives you a basic understanding of:

 

 

Module 1: Introduction to research

  • What is Research?

  • What is Master or PhD?

  • Different types of doctorate and master (MPhil/MSc/MBA/PhD/DBA)

  • What are the requirements of a PhD or Master?

  • Different ways of studying

  • Research Terminology

  • Programs and subscriptions for data collection and research

 

 

Module 2: Selection research advisor and university

Finding the right supervisor

  •  Who are they?

  •  How to contact a supervisor

  •  Do you get on well with him or her?

  •  How much time will he or she have for you?

  •  Is he or she experienced at supervising?

  • What stage of career is he or she at?

  • Second supervisors

 

Finding the right university

  • Location

  • Transportation

  • Research cultures

  • Select a university

  • The application form

  • Interview with advisor and admission office

  • Student visas

 

Funding

  •  What fees will you have to pay?

  •   How to apply

 

Accommodation

  •  What do you need?

  •  Budgets

  •  University accommodation

  •  Private accommodation

 

Introduction to MPhil/MSc/MBA/PhD/DBA Research 2

The research proposal - this course gives you understanding of:

 

Module 1: Selection of Research Topic

  • brainstorm for ideas

  • choose a topic that will enable you to read and understand the literature

  • ensure that the topic is manageable, and that material is available

  • define your topic as a focused research question

  • formulate a thesis statement

  • Research topic feasibility

 

Module 2: Concept of Research

  • What research is and how it is carried out.

  • The concept of research

  • Empirical theory

  • Experimental and observational research

  • Basic research techniques

  • Qualitative and quantitative research

 

Module 3: Research proposal

  • Research problem

  • Research questions

  • Research aim

  • Research Objectives

  • Research Methods

  • Research outcome

  • Link Research problem with Research Objectives

  • Research keywords

  • Developing a research timetable

  • Writing detailed research proposal

 

 

 

Introduction to MPhil/MSc/MBA/PhD/DBA Research 3

The Literature Review and Research Methods - this course gives you understanding of:

 

 

Module 1: The Literature Review

  • Focus on your research objectives

  • Referencing Description vs critical evaluation

  • Learning theory and your dissertation

  • Structuring your Literature Review

 

Module 2: The dissertation Introduction

  • The general structure of the Introduction

  • Background

  • Research focus (revisited)

  • Overall research aim and individual research objectives

  • Value of your research

  • A further suggestion

 

Module 3: Research Methods

  • Research strategy

  • Quantitative vs qualitative research

  • Sampling techniques

  • Positivism and phenomenology

  • Justifying your research strategy

  • reliability (and validity)

  • Data collection Preparation

  • Framework for data analysis

  • Limitations and potential problems

 

 

Introduction to MPhil/MSc/MBA/PhD/DBA Research 4

Research Methodology, Data Collection and Analysis, Results and Conclusions - this course gives you understanding of:

 

 

 

Module 1: Data collection and analysis

  • Statistical techniques for data collection, analysis and drawing conclusions

  • Data collection and analysis techniques

  • Distributions, inference, significance, variance

  • Regression, correlation, regression analysis

  • Time series, stationary series, trends, forecasting errors

  • Pilot studies and theory refinement

  • Literature re-evaluation and theory refinement

  • Generating preliminary research results

  • Formulating results validation studies

  • Validation feedback and re-evaluation of research results.

 

Module 2: Writing up your findings

  • The general approach

  • The process of description, analysis and synthesis

 

Module 3: Concluding your dissertation

  • What’s in a Conclusion?

  • Research objectives: summary of findings and conclusions

  • Recommendations

  • Contribution to knowledge

  • Self-reflection Summary of key points

 

Module 4:  Practical issues

  • Presenting your work and preparing for a viva

  • Presenting your work: common mistakes

  • Preparing for a viva

  • The marking scheme

  • Good grammar

  • A word of warning: plagiarism

  • What counts as plagiarism?

  • What if you are accused of plagiarism?

Learning outcomes

 

As a result of their training in research methods students are expected to have developed the following skills and be able to apply them in practical research contexts:

 

  • comprehension of principles of research design and strategy, including an understanding of how to formulate research questions which are amenable to empirical investigation and an appreciation of alternative approaches to research;

  • competence in understanding and applying a broad range of research methods, (including quantitative, qualitative and mixed methods), and the use of appropriate software for their application;

  • the development of advanced research skills and techniques relevant to their field of study;

  • capabilities for managing research, including data management, and conducting and disseminating research in a way that is consistent with both professional practice and the normal principles of research ethics;

  • understanding of the significance of alternative epistemological positions that provide the context for theory construction, research design, and the selection of appropriate analytical techniques;

  • understanding of the basics of probability, and a critical understanding of the scientific method and of the nature of reflexivity; and

  • understanding of the application of good ethical practice across the entire research process.

 

 

 

 

 

  • Accredited, Flexible and Affordable

  • Flexible Schedule

  • State of the Art Campus

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