DOCTORATE IN BUSINESS ADMINISTRATION
[Pages:5]DOCTORATE IN BUSINESS ADMINISTRATION
TURN EXPERIENCE INTO KNOWLEDGE AND MAKE A REAL IMPACT ON YOUR BUSINESS
LIVE. LEARN. LEAP.
Everyone is familiar with the word `research'. But many people misunderstand how rich, complex and diverse it is ? and underestimate the level of rigor that goes into it. Yet creating new knowledge is the foundation of all learning. It's how we progress and make an impact ? it's vital to society. The DBA programme helps you develop the skills, methods and mindset to turn your business experience and insights into rigorous knowledge ? giving you an even deeper understanding of your field. When you're ready to make your contribution to the academic community ? and society as a whole ? we'll be here to welcome you. I look forward to meeting you soon.
Prof Dr Brecht Cardoen Academic Director Doctorate in Business Administration
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CONTENTS
Why join our DBA programme?
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Programme outline
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? Learning stage
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? Research stage
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Graduation requirements
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Supporting you throughout your journey
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Meet your faculty
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How to apply
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Practical information
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Where you'll be studying
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Ready to learn more?
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WHY JOIN OUR DBA PROGRAMME?
There are so many reasons to start a doctoral journey. To deepen your business understanding from a theoretical perspective. To engage in academically robust, practice-based research. To create new knowledge ? and make an even greater impact on your organisation, your sector or even society. And who better to achieve all of these things with than a triple-accredited business school and two leading universities? In our DBA programme, you carry out academic research alongside your professional career. We take a flexible approach ? you tailor the content to suit your ambitions. When you join us, you become part of a diverse community of academics and professionals from all over the world. You share experiences, insights and ideas with participants who have business expertise, but want more academic experience. And you leave with a PhD degree from two top institutions.
WHO WILL YOUR FELLOW PARTICIPANTS BE?
Our DBA participants come from different sectors and industries ? and they have diverse academic backgrounds. They have many ambitions for the programme ? to gain deeper understanding, move into an academic career or excel in their business. But they all have one thing in common ? they are extremely motivated and driven by intellectual curiosity to better understand a specific issue.
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PROGRAMME OUTLINE
The DBA is a four-year doctoral programme, comprising two stages: ? Learning stage (18-24 months) ? Research stage (24-30 months)
RESEARCH PROPOSAL SEMINAR
LEARNING STAGE
YEAR 1
YEAR 2
BUILDING UP RESEARCH CAPABILITY
DOCTORAL ASSIGNMENTS
Introduction to academic research
Quantitative research I
Quantitative research II
Qualitative research
Studying organisations & individuals
Research skills
Literature review
Fieldspecific exam
Pilot study
Research proposal
ENGAGEMENT IN THE ACADEMIC COMMUNITY
Conference
Conference
RESEARCH STAGE
YEAR 3
YEAR 4
Individual and guided thesis work
Doctoral seminar I
Doctoral seminar II
PhD predefence
PhD defence
Conference
Conference
PERSONAL GROWTH
Teaching skills, research skills and business skills electives
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LEARNING STAGE
The objective of this first stage is to develop your research skills. You'll participate in five week-long modules that cover the entire research cycle and the research skills you need to complete your doctoral journey. Each course takes place on campus. They're intensive sessions supported by our online learning platform, where you can discuss content and ideas with your colleagues and submit your assignments.
You'll need to attend all of the courses ? and dedicate time to preparing for each one, studying afterwards and completing assignments, papers and exams.
At the end of the learning stage, you'll take part in a formal presentation of your research proposal.
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Each course covers a different element of the research cycle:
1. INTRODUCTION TO ACADEMIC RESEARCH
Scholarship isn't just a set of tasks to complete. It's a craft ? and there are many ways of practising it. This course introduces you to various styles of scholarship and gives you opportunities to try them out. By the end of the course, you'll start to find your own voice and develop your own style. You'll also need to write an assignment outlining the impact you want your research to have.
2. STUDYING ORGANISATIONS AND INDIVIDUALS
In this course, you'll explore the paradigms in the field of organisational studies. You'll compare different methods and identify where to position your research within organisational theory. You'll learn to structure your research in line with rigorous academic standards ? and start to develop your long-term research agenda.
3. QUANTITATIVE RESEARCH I
This course covers fundamental quantitative research designs and analysis techniques.
You'll learn how to apply these designs and techniques and interpret the findings ? and select the right approaches for your research question. You'll also be able to evaluate the techniques and analysis you use ? and those others use.
By the end of the course, you'll be able to select an appropriate sample ? while understanding the limitations of different sampling techniques. You'll define constructs and develop ways to measure them to use in survey questionnaires. And you'll understand and apply the principles of true experimental design and the power to test causality.
You'll also know how to:
? Report the descriptives and first exploratory data analysis for different quantitative research methods
? Apply the principles of hypothesis testing and interpret the results
? Apply linear regression modelling and interpret the results
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4. QUANTITATIVE RESEARCH II
This course shows you how to evaluate the goodness-and-fit of a linear regression model ? and modify it according to your sample and the problem you're analysing. You'll explore the concept of analysis of variance.
By the end of the course, you'll be able to design the data structure needed for logistic regression analysis and evaluate the outcome of logistic regression models. You'll also be able to apply logistic regression for predictive analytics and identify where you could use more advanced data mining techniques.
Finally, you'll be able to identify the differences between supervised and unsupervised learning ? and apply and evaluate unsupervised learning techniques.
5. QUALITATIVE RESEARCH
This course explores the key characteristics of different qualitative inquiry traditions and approaches ? including grounded theory, phenomenology, ethnography, narrative research, case study research and action research. You'll understand how to apply these traditions and approaches in business and management research ? and explore the process of carrying out qualitative research.
You'll learn how to judge:
? The appropriate qualitative research design for a specific research problem
? The appropriate data analysis strategy for a specific research problem
? The appropriate type of data collection or generation for a specific research problem
while also considering quality issues and ethics.
You'll develop and implement a data collection protocol ? including interviews, documents and observations. And you'll be able to effectively analyse and report results from qualitative data analysis.
6. RESEARCH SKILLS
These sessions are designed to help you pursue your doctoral journey in a responsible, effective way ? and develop the skills you need to do your research. We share relevant sources and examples to help you deal with specific challenges.
The sessions include:
? Managing your PhD ? Literature search and review ? Ethics and research integrity ? Academic writing and getting published ? Creating spillovers and having impact ? Doing a good review ? Presenting with impact ? How to get most out of an academic
conference
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