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Awarding Institution : Dunster Business School Switzerland
Henry Harvin Role : Admission Partner
Assessment Requirement : Yes by Dunster Business School Switzerland
Advance your academic and business credentials with a Dual Degree in Ph.D. Dunster Business School, Switzerland & MBA, FLISM, USA: globally recognized universities | Perfectly designed for working professionals aiming to lead with research excellence and real-world business acumen.
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A comprehensive, research-driven business leadership program that empowers working professionals to become both strategic decision-makers and academic thinkers. The Dual Degree program combines the Ph.D. theory with the industry-focused expertise of an MBA, making it ideal for future leaders, innovators, consultants, and educators.
Professionals can choose from a range of high-demand MBA specializations, including:
Eligible candidates must hold a Master’s degree with 7–10 years of leadership experience, preferably at the C-suite or director level, and demonstrate strong research intent.
|
Program |
Institution |
Duration |
Component |
|
Ph.D. |
Dunster Business School, Switzerland |
2-4 Years |
Research-Based Dissertation |
|
MBA (Specialization) |
Florida Institute of Science and Management (FLISM), USA |
1-2 Years |
Course Modules + Capstone Project
|
Agota™ Framework is a versatile 10-in-1 program that includes various aspects of competency development and career development.
Become a part of the Elite School of International Studies of Henry Harvin® and join the 4,60,000+ large Alumni Network Worldwide.
Know the complete offerings of our Dual Degree - Ph.D. & MBA Program
This program is supported and facilitated by Henry Harvin Education.
The certificate/degree (if applicable) is awarded solely by Dunster Business School Switzerland, subject to eligibility and successful completion of assessments.
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It is a trajectory that offers complete growth of an individual incorporating the two most significant focus areas of contemporary learning:The Competency Development and The Career Development .
Competency development is about building capabilities that not only meet current job demands but also anticipates the future needs. It includes:
3: Convocation Hybrid convocations are conducted both online and offline, offering networking opportunities, practical exposure, and on-stage felicitation to celebrate your achievements.
Career Development lays focus on the essentials for acquiring a good career or diving into a highly competent one. It includes:
7: Hallmark Certification + License Distinguish your profile with global credentials and showcase expertise with our Hallmark Completion certificate with Professional License
9: Entrepreneurship Mentorship Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both Freelance and entrepreneur levels
Module 1: Thesis management
a. Scope and Significance
b. Types of Research
c. Research Process
d. Characteristics of Good Research
e. Identifying Research problem
f. Meaning of Sampling Design
g. Steps in sampling
h. Criteria for good sample design
i. Types of Sample Design
j. Probability and non-probability sampling methods
k. Meaning of Measurement
l. Types of scales
a. Data Collection
b. Types of Data
c. Sources of Data Collection
d. Methods of Data collection
e. Constructing questionnaire
f. Establishing, reliability and validity
g. Data processing
h. Coding, Editing and tabulation of data
i. Meaning of Report writing
j. Types of Report
k. Steps of report writing
i. Precautions for writing report
m. Norms for using Tables
n. Charts and diagram
o. Appendix: - Index, Bibliography
Module 2: General Research Methodology
Module 3: Quantitative Research Methods
a. Session Overview
b. RQ Hypothesis Course Context Video
c. What is Quantitative Research?
d. Ethics of Quantitative Research
e. Session Summary
f. Session Overview
g. Introduction to the Scientific Method of Research
h. Comparing Descriptive, Predictive and Prescriptive Research
i. Inductive and Deductive Approaches to Quantitative Research
j. Constructing Models
K. Session Summary
a. Session Overview
b. Fundamentals of Research Design
c. Components of a Research Design
d. Characteristics of a Research Design
e. Session Summary
f. Session Overview
g. Research Design for Experimental Research Studies
h. Research Design for Quasi Experimental Studies
i. Research Design for Non-Experimental Research Studies
j. Evaluating Quantitative Research Design
k. Session Summary
a. Session Overview
b. Defining Surveys
c. Exploring Survey Methods
d. Session Summary
e. Session Overview
f. The Process of Questionnaire Development
g. Designing a Questionnaire
h. Designing Rating Scales
i. The Art of Asking Questions
j. Session Summary
k. Session Overview
l. Tips to Conduct Effective Surveys
m. Ethics of Using Technology in Surveys
n. Session Summary
a. Session Overview
b. What is Measurement?
c. True Score Theory, Estimating Measurement Errors
d. Evaluating Validity of Measures
e. Evaluating Reliability of Measures
f. Session Summary
g. Session Overview
i. Basic Concepts of Sampling
j. Problems and Blases in Sampling
k. Probability Sampling
l. Non-Probability Sampling
m. Session Summary
n. Session Overview
o. Determining the Sample Size
p. Sampling Distribution and Statistical inference
q. Demonstrations on Sampling
r. Session Summary
a. Session Overview
b. Significance of Comparing Means for Analysis
c. What is ANOVA?
d. Types of ANOVA
e. Calculating and Interpreting One-Way ANOVA
f. Session Summary
g. Session Overview
h. Building a Statistical Model
i. Effect of Moderating and Mediating Variables
j. Demonstration on Mediation and Moderation
k. Session Summary
a. Session Overview
b. What is Factor Analysis?
c. Conducting Factor Analysis
d. Demonstration on R: Factor Analysis
e. Interpreting Factor Scores
f. Session Summary
g. Session Overview
h. What is Factorial ANOVA?
i. Dealing with Interaction Effects in Factorial ANOVA
j. Calculating and Interpreting Factorial ANOVA
k. Session Summary
a. Session Overview
b. Multivariate regression
c. MANOVA
d. Logistic Regression
e. Structural Equation Modeling
f. Tree Structured Methods
g. Conjoint Analysis
h. Session Summary
i. Session Overview
j. Time Series
k. Cluster Analysis
l. Session Summary
a. Session Overview
b. Introduction to Formatting the Research Project for Quantitative Research
c. Components of a Quantitative Research Paper
d. Writing the Summary, Background and Purpose of Quantitative Research
e. Writing the Literature Review
f. Detailing your Research Design/Methodology
g. Curating your Results, Analysis and Supplimentary Findings
h. Outlining your Conclusions and Reccomendations
i. Making Appendices
j. Session Summary
k. Session Overview
l. Writing Different Types of Quant Papers
m. Guidelines for Fine Tuning your Research Presentation
n. Session Summary
Module 4: Qualitative Research Methods
a .Key Elements of Qualitative Research
b. Writing Qualitative Research Question
c. Qualitative Research: Framework
d. Steps to Write a Qualitative Research Paper
e. Ethics for Qualitative Research and IRB
f. Introduction to Design Strategies
g. Data-Collection and Analysis Strategies
h. Introduction to research design
i. Major aspects of research design
a. Sources of Evidence: A Comparative
b. Assessment (Forms-Strengths-Weaknesses)
c. Principles of Data Collection
d. Sampling
e. Reliability and Validity
a. An Introduction to Data Analysis
b. First Cycle Coding (Description +Demo)
c. Second Cycle Coding (Description +Demo)
d. Jottings and Analytic Memoing (Description +Demo)
e. Assertions and Propositions (Description +Demo)
f. Within Case and Cross-Case Analysis (Description +Demo)
a. Matrix and Networks
b. Timing, formatting
c. Extracting Inferences and Conclusions
d. Exploring Fieldwork in Progress
e. Exploring Variables
f. Exploring Reports in Progress
a. Describing Participants
b. Describing Variability
c. Describing Action
d. Ordering by time
e. Ordering by process
f. Explaining Interrelationship-Change
g. Explaining Causation
h. Making Predictions
a. Tactics to achieve integration among diverse pieces of data
b. Tactics to sharpen understanding by differentiation
c. Tactics of seeing relationships in data abstractly
d. Tactics to assemble a coherent understanding of data
e. Tactics for testing or confirming findings
f. Standards for quality of conclusions
a. Other methods in Qualitative Research
b. Audiences and Effects
c. Different aspects / apa
d. An Introduction to Mixed Methods Research
Module 1: Management Concepts & Organizational Behavior
Module 2: Managerial Economics
Module 3: Accounting for Managers
Module 4: Business Environment and Law
Module 5: Financial Management
Module 6: Marketing Management
Module 7: Human Resources Management
Module 8: Operations Research and Management
Module 9: Strategic Management
Module 10: Consumer Behaviour
Module 11: Performance Management
Module 12: Merchant Banking and Financial Services
Module 13: Management Control Systems
Module 14: Entrepreneurship Management
Module 15: Investment and Portfolio Management
Know the complete offerings of our Dual Degree - Ph.D. & MBA Program
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