Preparation Courses for PhD Programme

In these courses, you will receive comprehensive guidance on the methodology of academic research and initial feedback on whether your topic is suitable for a doctorate and what a rough outline might look like. These preparation courses are a prerequisite for subsequent admission to the doctoral programme at the University of Gloucestershire, ensuring you have the best possible start to your PhD journey.

The courses are designed to accommodate your busy schedule. They are held over four weekends, each comprising three days of instruction, and can be attended online or in person in Germany. There are two compulsory courses and two optional courses. The courses are conducted by professors from the University of Gloucestershire and the school. In addition to the academic content, you will quickly determine whether you enjoy part-time research work and are prepared to make the necessary time commitments.

Basically, our preparation will help you in any doctoral programmes.

Please email your CV and copies of academic certificates to validate your qualifications.

Overall aim

To Provide a Strong Foundation in Research Methodology:
Equip students with comprehensive knowledge of various research approaches and techniques, preparing them for advanced academic inquiries and doctoral studies.

1. To Develop Critical Analysis and Problem-Solving Skills:

Enhance students’ ability to critically analyze complex information, identify research gaps, and develop innovative solutions to academic and real-world problems.

2. To Foster Academic Excellence and Integrity:

Instil a deep understanding of ethical research practices and promote integrity in academic work, ensuring responsible and credible scholarly contributions.

3. To Prepare for Doctoral Success:

Ensure that students are thoroughly prepared for the rigours of the PhD programme at the University of Gloucestershire’s School of Business, Computing and Social Science, with a solid grounding in research principles and methodologies.


Upon successful completion of the Executive Diploma in Advanced Research, student will be able to:

Demonstrate Mastery in Research Methodologies: Have a robust understanding of various research methodologies, enabling the selection and application of appropriate techniques in their doctoral studies.

Exhibit Advanced Critical Thinking and Analytical Skills: Be able to critically evaluate academic literature, develop coherent research proposals, and effectively address complex research questions.

Show Competence in Ethical Research Practices: Understand and apply ethical considerations in research, ensuring the integrity and credibility of their academic work.

Be Prepared for Doctoral-Level Research: Possess the necessary skills and knowledge to undertake rigorous doctoral research, contributing significantly to their field of study.

Develop Professional Research Competencies: Gain valuable skills in academic writing, data analysis, and presenting research findings, beneficial for both academic and professional career paths.

Successful students can then apply for the University of Gloucestershire’s PhD programme at the School of Business, Computing and Social Science.


Module Certificate on a Master Level


9.950,- Euro + VAT


Each course lasts two days over a weekend

Course locations

Hybrid Teaching: Take part either online or in zeb.offices in Hamburg, Muenster, Frankfurt, Munich, Zurich or Wien

Specific advantage of this course

By enrolling on the Executive Diploma in Advanced Research, then if your research proposal is accepted by the University of Gloucestershire’s PhD programme at the School of Business, Computing and Social Science, all successful candidates will be awarded a £4,000 GBP study fee waiver.

Course 1

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Next dates

26 and 27 April 2024 or
21 and 22 June 2024

Course location

zeb Munich, Theresienhöhe 13A, 80339 München or online

Fundamental elements of reflective professional development and developing the individual skills for Research Approaches (mandatory)  


Course 1 is designed to present you with ways of understanding and approaching all kinds of research


Supports you to become a successful researcher


Provides you with key understandings and questions that you need to explore in order to make progress


Presents some of the choices available to you as you think and design research


Sensitises you to the flexibility in thinking that is required when undertaking contemporary research projects

Course 2


Next dates

07 and 08 June 2024 or
06 and 07 September 2024

Course location

zeb Munich, Theresienhöhe 13A, 80339 München or online

Literature Review and Approaches and Techniques in Research (mandatory) 


Course 2 is designed to complement the content of Course 1


It focusses on issues of choosing, engaging and justifying choices of research methods


You will have the opportunity to discuss and think about what different methods can do, and arguably more importantly, what they cannot do for you


This module gives you the underpinnings of knowledge to become a well-grounded researcher

Course 3

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Next date

Date and location by arrangement with the course participants

Empirical Methods for Scientific Research (optional)


Course 3 focuses on mathematics, statistics, resp. econometrics.


You will learn about advanced methods of mathematical analysis.


You will know how laboratory and field experiments are built up.


This module will prepare you to use advanced empirical methods for your research.

Course 4


Next date

Date and location by arrangement with the course participants

Use of Data Analytics in Research (optional)


Course 4 focuses on data analytics.


You will learn how to use data analytics in your particular research area.


You will learn how to use machine learning or Python and R programming for the analysis of your research data.


This module will prepare you for new methods referring to machine learning and generative AI for a new and advanced kind of research.

We are happy to advise you

Do you have questions about our PhD programme? We are looking forward to hearing from you. Talk to us!

michael lister

Prof. Dr. Michael Lister


Prof. Dr. Jürgen Polke