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Elevate your business career with a dual degree DBA By Dunster Business School, Switzerland & MBA by FLISM, USA | Designed to meet the growing demand for expertise in business operations, the DBA combines advanced academics with real-world applications | Gain strategic leadership, research expertise, and cross-continental exposure in one transformative program
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The Doctorate of Business Administration (DBA) represents the pinnacle of management expertise, empowering professionals to excel as consultants or academics. Guided by seasoned experts, candidates lead groundbreaking research and craft influential thesis. A DBA from Dunster Business School is a testament to unmatched leadership and innovation in business.
Candidates must hold a Master’s degree with 7–10 years of professional experience in leadership, consulting, or entrepreneurship, along with strong English proficiency and a clear intent for research or strategic growth.
| Component | Degree Awarded | Institution | Duration | Focus Area |
|---|---|---|---|---|
| Doctorate in Business Administration | DBA | Dunster Business School, Switzerland | 2-3 Years | Research methodology, applied thesis, strategic project |
| MBA | MBA | FLISM, USA | 2 Years | Core business modules, leadership, strategy, and operations |
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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
Research
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
Review of Literature
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
Part 2:
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
Part 2:
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
Part 2:
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
Part 3:
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
Part 2:
g. Session Overview
i. Basic Concepts of Sampling
j. Problems and Blases in Sampling
k. Probability Sampling
l. Non-Probability Sampling
m. Session Summary
Part 3:
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
Part 2:
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
Part 2:
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
Part 2:
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
Part 2:
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
Introduction to Qualitative Research
Data Collection in Qualitative Research
Interviews and Focus Groups
Introduction to Data Analysis
Data Display and Exploration
Data Analysis Process - Next Steps
Verifying Conclusions
Writing Report and New Technologies
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
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Leadership Skills
Strategic Thinking
Financial Analysis
Marketing Management
Operations Management
Problem-Solving
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Doctorate of Business Administration (DBA)