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Doctorate in Commerce (D.Com)

What is a Doctorate in Commerce?

A Doctorate in Commerce (D.Com) is designed for individuals who wish to deepen their knowledge and expertise in business and commerce. It focuses on research-oriented learning in areas such as finance, marketing, economics, accounting, and business law. Students engage in rigorous study and conduct original research that contributes to the development of new knowledge and practices within the field. The doctorate prepares graduates for careers in academia, research institutions, corporate leadership, and consultancy. It emphasizes skills like critical thinking, strategic decision-making, and complex problem-solving, enabling graduates to lead in both the business world and educational sectors.

 

Benefits

Provides deep, specialized knowledge in areas such as finance, marketing, accounting, and economics
A Doctorate in Commerce (D.Com) opens doors to positions such as university professor, researcher, financial consultant, and business executive.
It hones critical research, analytical, and problem-solving skills, making graduates capable of conducting complex studies.
Help shape the direction of industries and economies.
A doctorate offers the chance to publish in prestigious journals, attend conferences, and contribute to academic discussions.

 

Learning Outcomes
  • Advanced Knowledge of Commerce Theories and Practices
    Graduates will have a comprehensive understanding of business concepts such as finance, accounting, economics, marketing, and management. They will be able to critically assess and apply these theories to real-world scenarios.

    Research Expertise
    Students will develop strong research skills, enabling them to conduct original research that contributes to the body of knowledge in the field of commerce. They will learn advanced research methodologies and data analysis techniques.

    Strategic Decision-Making Skills
    Doctoral students will be equipped to make strategic, data-driven decisions in complex business environments, understanding the broader economic and organizational factors that influence decision-making.

    Problem-solving and Critical Thinking
    Graduates will be able to analyze business problems, identify solutions, and recommend effective strategies based on in-depth analysis of data and case studies.

    Academic Writing and Publishing
    Students will acquire the ability to write and publish academic papers in leading journals, contributing new ideas, frameworks, and methodologies to the field of commerce.

    Teaching and Leadership Skills
    A Doctorate in Commerce prepares individuals for academic roles, where they can teach complex concepts to students, and for leadership positions in business and industry, guiding teams and influencing organizational strategies.

    Ethical and Global Perspective
    Graduates will understand the ethical dimensions of business decisions and be able to navigate the global landscape, considering cultural, social, and political factors in their research and professional work.

    Contribution to Policy Development
    Graduates will have the ability to influence business policies and contribute to the development of economic strategies that impact national and global markets.

Contact Information

Dunster Business School

Dunster Business School, An Institute under the aegis of Dunster Business School GmbH, Bahnhofplatz, 6300 Zug, Switzerland

+41784610905
[email protected]

Social Info

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Who Can Apply?

Here are a few things to keep in mind before you apply.

Diplomas are beneficial for individuals looking to enter the workforce quickly, acquire specific skills, or gain qualifications in a new field.

Education: Many diploma programs, require applicants to have a high school diploma or its equivalent. Many vocational diplomas are designed to accommodate adults balancing work or family responsibilities.

Undergraduate degree holders: Some diploma programs are designed for individuals who already have a bachelor’s degree. These diplomas provide advanced knowledge in a specific field.

Professionals: Many diploma programs are focused on practical, industry-specific skills, which makes them attractive to professionals who are interested in upgrading their skills, staying competitive in their field, or meeting specific job requirements.

English language proficiency: For non-native English speakers, proof of English language proficiency may be required if they are applying to programs in English-speaking countries.

Relevant Experience (if applicable): Some advanced or specialized diplomas, may require prior experience or knowledge in the field, especially for career-focused programs.

Key Features
Specializations
  • Comprehensive Instructor-Led Interactive Sessions
    Engage with experts through lectures, seminars, and workshops.
  • In-Depth Case Studies
    Examine real-world scenarios to apply theoretical knowledge.
  • Research Assignments and Projects
    Participate in hands-on projects that reinforce learning.
  • Flexible Learning Options
    Access resources and complete coursework according to your schedule.
  • Guided Practical Experiences
    Receive mentorship and guidance throughout your research journey.
  • Continuous Assessments
    Benefit from regular feedback to improve your skills and knowledge.
  • Access to Exclusive Academic and Professional Networks
    Join a community of scholars and industry leaders.

Globally Recognized Doctoral Degree
Earn a qualification respected by institutions and employers worldwide.

Accounting and Financial Management

Banking and Insurance

Business Economics

Corporate Governance and Ethics

Entrepreneurship and Small Business Management

International Business and Trade

Taxation and Fiscal Policy

And many more…

Curriculum

  • 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.
  • Meaning and importance of Research
  • Types of Research
  • Selection and formulation of Research Problem
  • Meaning of Research Design
  • Need of Research Design
  • Features of Research Design
  • Inductive, Deductive and Development of models
  • Developing a Research Plan
  • Exploration, Description, Diagnosis, Experimentation
  • Determining Experimental and Sample Designs
  • Analysis of Literature Review
  • Primary and Secondary Sources
  • Web sources
  • Critical Literature Review
  • Hypothesis
  • Different Types of Hypothesis
  • Significance
  • Development of Working Hypothesis
  • Null hypothesis
  • Research Methods: Scientific method vs Arbitrary Method
  • Logical Scientific Methods: Deductive, Inductive, Deductive-Inductive
  • Pattern of Deductive
  • Inductive logical process
  • Different types of inductive logical methods.
    • Introduction to Quantitative Research
    • Part 1:

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

    • Exploring Quantitative Research Design
    • Part 1:

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

    • Data Collection for Quantitative Research
    • Part 1:

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

    • Measurement and Sampling
    • Part 1:

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

    • Constructing Statistical Models
    • Part 1:

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

    • Enhancing Statistical Models
    • Part 1:

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

    • Multivariate Analyses
    • Part 1:

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

      • Writing a Quantitative Research Paper
      • Part 1:

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

  • Introduction to Qualitative Research

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

  • Data Collection in Qualitative Research

a. Sources of Evidence: A Comparative
b. Assessment (Forms-Strengths-Weaknesses)
c. Principles of Data Collection
d. Sampling
e. Reliability and Validity

  • Interviews and Focus Groups
  • Introduction to Data Analysis
  •  

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)

  • Data Display and Exploration

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

  • Data Analysis Process – Next Steps

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

  • Verifying Conclusions

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

  • Writing Report and New Technologies

a. Other methods in Qualitative Research
b. Audiences and Effects
c. Different aspects / apa
d. An Introduction to Mixed Methods Research

Certification

Frequently Asked Questions

What is the Doctorate in Commerce (D.Com) at Dunster Business School?

The Doctorate in Commerce (D.Com) at Dunster Business School is mainly research-focused designed for individuals looking to advance their knowledge and skills in commerce-related fields like finance, marketing, accounting, economics, and business law. It involves independent research, scholarly writing, and opportunities to engage in the global business community.

Graduates will develop:
Expertise in advanced commerce theories and practices.
Proficiency in research methodologies for conducting independent research.
Strong analytical and decision-making skills for business problem-solving.
The ability to publish research, contributing to global business knowledge.
Leadership skills for academic and corporate roles.

Yes, the Doctorate in Commerce is research-oriented, with a focus on conducting original research in the field of commerce. Students can choose to work on a dissertation or a practice-based project that aligns with their interests and career goals.

Yes, Dunster Business School offers flexible study options, including online learning and part-time formats, to accommodate the schedules of working professionals.

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