Dunster Business School

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Doctorate in Arts (D.A.)

What is a Doctorate in Arts?

A Doctorate in Arts is the highest academic qualification in the fields of humanities, fine arts, and social sciences. It focuses on advanced research, critical thinking, and creative exploration, preparing scholars for careers in academia, research, and the arts industry.  The Doctorate in Arts (D.A.) integrates practical and professional applications. Graduates contribute to knowledge creation, cultural development, and innovation in artistic and intellectual domains, making a significant impact on education and society.

 

Benefits

Understand the principles of research and data collection methods.
Enhance your knowledge regarding the dissertation.
Deepen the knowledge of specialized subjects.
Gain expertise in designing, conducting and publishing high-quality research.
Effectively write academic articles and convey complex ideas.
Gain skills required for quality presentation.
Enhance skills and expertise to efficiently grow in a competitive market.
Learn about the process of publishing good research.
– On completion of Doctorate in Arts (D.A.), become eligible for various job roles.

 

Learning Outcomes
  • Advanced Research Skills

    Conduct independent, original research contributing to the academic and creative fields.

    Critical Thinking & Analysis

    Evaluate complex theories, artistic movements, and cultural phenomena.

    Scholarly Writing & Communication

    Present research findings effectively through publications, conferences, and lectures.

    Interdisciplinary Knowledge

    Integrate insights from various artistic and humanities disciplines.

    Creative & Practical Application

    Develop new artistic techniques, methodologies, or pedagogical approaches.

    Leadership & Academic Expertise

    Train for roles in academia, research institutions, and the cultural sector.

    Ethical & Global Perspective

    Address social, cultural, and ethical issues in artistic and intellectual discourse.

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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Key Features
Specializations
    • 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.

Literature and Linguistics

Fine Arts and Visual Arts

Performing Arts

History and Cultural Studies

Philosophy and Ethics

Media and Communication Studies

Education and Pedagogy

Sociology and Social Work

And many more…

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.

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 Arts at Dunster Business School?

The Doctorate in Arts (D.A.) at Dunster Business School is a research-intensive program designed for scholars, educators, and professionals seeking advanced expertise in the arts, humanities, and social sciences. It combines rigorous academic research with practical applications in creative and cultural industries.

Yes, a PhD is a globally recognized academic degree, symbolizing the highest level of expertise in a particular field of study.

It typically takes 2 to 5 years to complete, depending on the student’s research progress and dissertation completion.

Advanced research and critical thinking skills.
Expertise in theory, practice, and interdisciplinary knowledge.
The ability to publish scholarly work and contribute to cultural discourse.
Leadership skills for academic, creative, and research-based roles.

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