Swiss School of Management offers a Doctor of Philosophy (PhD) program based on blended and online learning principles. The program is highly structured and internationally accredited by IACBE. Due to the blended learning aspects, there are no admissions deadlines. Individuals can start, pause, and finish whenever they want. Each PhD candidate receives a lot of support from a dedicated supervisor and a mentor, and access to digital libraries and live (digital) events. Joining the PhD program at Swiss School of Management gets you access to our International Expert Group.
Embark on a rigorous career in research with an International level of expertise through the Doctor of Philosophy (PhD) program. Top-Ranked Global Management School, Swiss School of Management- Doctor of Philosophy (PhD) program is curated for professionals to equip them with the best practices in doctoral education that attain academic or professional career growth.
The 3-year Doctor of Philosophy (PhD) program enables professionals to specialize in the stream of Economics and Management. Swiss School of Management- Doctor of Philosophy (PhD) has a rich pedagogy program that fulfills high-quality doctoral training that enables students and graduates to produce high-end research in their specialized fields. Leverage the opportunity to undertake independent research by building challenging experiences and gain international-level of academic expertise.To see the differences between a Doctor of Philosophy (PhD) and the DBA, please read this article: PhD and DBA at Swiss School of Management.
The PhD is designed as a part-time program for people who do not want to put their careers on hold. Using a combination of online learning, self-study, and face-to-face teaching, the Doctor of Philosophy allows you to undertake a substantial piece of research without interrupting your professional or academic working life. consists in general of three main consecutive stages: Coursework, Research lab, and Doctoral thesis. During those phases, students are guided and coached by their mentor and supervisor.
The first step for applicants is drafting their initial research proposal. This is a 10-page document answering the most important aspect of the intended research. SSM supplies a template for candidates to use to speed up the process. Candidates do not have to think about structure, we have provided it already. It is wise to start with the initial research proposal as soon as possible and complete this step within two weeks after enrollment. The candidate’s supervisor will review and give feedback on it. During the application process, applicants write an essay of 1,000-2,000 words with the core of the initial research proposal. The template of the initial research proposal that the student must use can be found here.
As an institute for higher education, SSM wants to contribute to the leaders of tomorrow for further social and economic development in their regions. Therefore, we promote a research agenda in our doctoral program. On that agenda we have a few fields that are key aspects of social and economic development, namely: competitiveness, logistics management, high performance organizations (HPO), small and medium-size enterprises (SMEs) and entrepreneurship & social and economic development.
Professional and academic research are vital necessities for modern management to forge ahead. Research is the process of asking the right and relevant questions and of gathering and analyzing the necessary data in a systematic and methodologically sound manner. An important aspect of sound professional and academic research is to embed the research within the body of existing knowledge (applied research) and to add to it (generating new knowledge).
This module will guide you through the research process, from the formulation of the topic to critically detecting and reviewing relevant literature, designing the research project and choosing appropriate methodologies, collecting and analyzing the data and writing the report. This workshop will offer a helicopter view of the approaches that researchers use to answer research questions especially for those who are new to research. The other workshops will zoom in on specific parts of the research process and on specific methodologies that can be employed.
The assessment will be based on one assignment. The assignment consists of two parts. In part one you will be asked to evaluate parts of a sample research proposal written by somebody else. In the second part you are invited to draft a rough plan for your own research project.
In the assignment you are asked to:
Numbers play an important role in research. Statistical skills are critical to understanding a lot of what goes on in society. Many of us find statistics hard.
One reason is that understanding statistics requires mathematical skills. The mathematical skills needed seldom go beyond operations that all students are familiar with – adding, subtracting, multiplication and division. This module will introduce basic and advanced statistics in an intuitive way. Concepts are introduced using examples that students will easily recognize from daily life. Although we refrain from discussing advanced topics in statistics, the workshop paves the way to exploring more advanced statistics.
A second reason why some students have a fear of statistics is the gap that exists between understanding the statistical concepts on the one hand and applying the concepts to reality. This workshop introduces the student to descriptive and inferential statistics. All techniques will be illustrated with easy-to-understand examples. In the process, this workshop will zoom in on important topics in survey design: sampling techniques; validity and reliability; and data cleaning.
Students will be assessed through one assignment.
The assignment will challenge the candidate to draft a plan of analysis, for his or her research, based on a draft of the data collection instrument to be used in the research.
This workshop is designed to help qualitative researchers with all aspects of their qualitative research project from the beginning to the end. It discusses the key philosophies underpinning qualitative research and design – with a focus on research in management – and assesses the key advantages and disadvantages of the different approaches.
We will zoom in on aspects of research design for qualitative studies. The core part of the workshop elaborates qualitative research methods that have been touched upon in the workshop on research methods: action research; case study research; ethnographic research; grounded theory; interviews; participant observation; and document analysis. All techniques will be examined to discuss the various approaches of that technique, along with strengths and weaknesses, using examples.
In a separate block, the workshop will discuss the analysis of qualitative data, which is fundamentally different from analyzing quantitative data. After an overview of the various methods and techniques that can be used when analyzing qualitative data – including the use of dedicated software – the principles of hermeneutics, semiotics and narrative analysis will be taught and trained.
In a concluding block, the workshop will address issues of write-up and publication, with a focus on the differences from writing up non-qualitative studies.
This course will not make use of software dedicated to analysis of qualitative research. The use of Nvivo is the topic of an elective course.
The assignment will be based on the application of various methods and techniques of qualitative research to one’s own research (even if the study will be mainly quantitative).
The module will introduce you to essential tools for doing research at doctoral level. The toolbox offers a rich set of tools. The focus will be on STATA. The STATA package is one of the main packages used by researchers doing serious research. A fully operational permanent license for the latest version of STATA is included in the study fees.
Candidates are requested to submit and defend a doctoral thesis.
The topic of the thesis has to be one of the following broad field of research: