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The Executive DBA-level programme is broad in scope, cutting across disciplines to solve challenges facing senior professionals in the business world. The Executive FPM focuses on providing its students with knowledge, skills, best practices, and resources to solve complex business problems in today’s business environment.
The objective of this doctoral-level programme is to provide a sound theoretical understanding of research methodology to solve complex issues in business. The programme aims to groom high-quality pracademics to become faculty members in top-tier business schools around the world. Our small class size ensures that you will enjoy individual attention and support for your scholarly ambitions. We have a rigorous mentorship programme, where our resident faculty will closely guide you through your course of study and work with you on research projects.
EFPM CURRICULUM
The coursework in the comprehensively designed curriculum includes:
· Preparatory Courses
· Foundation Courses
· Research Lab Courses
· Quantitative Methods Courses
· Qualitative Methods Courses
· Interdisciplinary Courses
· Dissertation Seminars
Preparatory Courses
These are pre-requisite online courses structured to provide exposure to basic Economics, Accounting, Finance & Statistics.
Foundation Courses
These courses will give direction to the dissertation and provide a philosophical lens to assess the course work. It will offer the crucial ability to think deeply and carefully about the nature of theory and the data to confirm or falsify it, as well as the social context in which Science and the Social Sciences are practiced.
Research Lab Courses
Research Lab courses provide an overview of the scientific research process with a focus on the iterative nature of theory construction, and testing including the factors that need to be considered to develop useful theories and sound empirical tests of theories. The Research Lab will be a mix of research examples across disciplines and qualitative /quantitative methods.
Quantitative Methods Courses
The Quantitative Courses will help you gain an understanding of the foundations of statistical inference and the practical skill of fitting and evaluating methods such as multiple regression models, logit models, ANOVA, MANOVA, Factor Analysis, Conjoint/Cluster/Component Analyses, Path Analysis, Structural Equations Models etc.
Qualitative Methods Courses
Qualitative Research allows for in-depth and further probing and questioning of respondents based on their responses, where the interviewer/researcher also tries to understand their motivations and feelings. These courses will introduce you to the basic ideas behind the qualitative research in management research.
Interdisciplinary Courses
The four interdisciplinary courses are structured to provide broad exposure across key business disciplines, business research theory and domain knowledge in the areas of Accounting, Finance, Marketing, Strategy, Organisational Behaviour and Operations Management.
Case Writing & Teaching Courses
These courses will help one with writing a case, designing a course and teaching it as well.
Doc-Ed Series
These will be Research Seminars or Panel Discussions on Contemporary Research Topics and Teaching Techniques
Dissertation Seminars
The dissertation thesis is built on a strong foundation of research. These seminars give you the time and resources to focus on the dissertation topic, methodology, literature review, and research plan to move steadily toward the goal. It is more of a hand-holding exercise to help you pursue the dissertation journey. You will work closely with your Faculty Mentor/Dissertation Committee members to close the loop.
STAGES OF PROGRESSION
To ensure minimal leave requirements for participants, classes will be held Friday through Sunday every month. Each residency will focus on a particular course offering.
PROGRAMME CALENDAR |
|||
Year |
Residency |
Month |
Course |
YEAR I MILESTONES |
Orientation |
Aug-22 |
Orientation |
Residency 1 |
Sep 22 |
Philosophy of Science & the Scientific Method |
|
Residency 2 |
Oct-22 |
Regression Analysis & Experimental Design |
|
Residency 3 |
Nov-22 |
Business Value Creation & Delivery |
|
Residency 4 |
Dec-22 |
Writing & Teaching Case Study Design and Execution |
|
Residency 5 |
Jan-23 |
Introduction to Corporate Finance & Accounting Research |
|
Residency 6 |
Feb-23 |
Theories of the Firm Operating in Growth Markets |
|
Residency 7 |
Mar-23 |
Leveraging Technology and Digital Transformation to Manage Markets |
|
Residency 8 |
Apr-23 |
Research Lab 1: Research Question, Theory and Methods |
|
Residency 9 |
May-23 |
Submit a Case Study to the EFPM Office |
|
Residency 9 |
May-23 |
Business Transformation |
|
Residency 10 |
Jun-23 |
Basic Qualitative Analysis |
|
Residency 11 |
Jul-23 |
Multivariate Analysis |
|
Residency 12 |
Aug-23 |
Elective 1: Econometric Analysis/ Digital & Technology Strategies |
|
YEAR II MILESTONES |
Residency 13 |
Sep-23 |
Elective 2: Advanced Qualitative Research/ Business Strategy and Uncertainty - Real Options to Manage Growth & Resilience |
Residency 14 |
Oct-23 |
Research Lab 2: Data Analysis & Discussion |
|
Residency 15 |
Nov-23 |
Course Design and Delivery |
|
Residency 16 |
Dec-23 |
Research Lab 3: Research Paper Presentation |
|
Residency 17 |
Jun-23 |
Dissertation Seminar 1: Dissertation Topic Presentation |
|
YEAR III MILESTONES |
Residency 18 |
Dec-23 |
Dissertation Seminar 2: Dissertation Proposal Defense |
Residency 19 |
Jun-24 |
Dissertation Seminar 3: Dissertation Defense |
PROGRAMME MILESTONES |
||
Residency |
Timeline |
Deliverable |
Residency 9 |
May-23 |
Submit a Case Study |
Residency 15 |
Nov-23 |
Research Paper Presentation |
Residency 16 |
Dec-23 |
Research Lab 3: Research Paper Presentation |
Residency 17 |
Jun-23 |
Dissertation Seminar 1: Dissertation Topic Presentation |
Residency 18 |
Dec-23 |
Dissertation Seminar 2: Dissertation Proposal Defense |
Residency 19 |
Jun-24 |
Dissertation Seminar 3: Dissertation Defense |