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Elevate your expertise with the Doctorate in Science (D.Sc.) from Dunster Business School | Achieve the highest qualification in Science and Research, opening doors to top roles in Research, Consultancy, and Academia | Join today to become a leading professional and drive change in the field.
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There's a reason that 95% of our alumni undertake 3+ courses as a minimum with Henry Harvin®
The Doctorate in Science (D.Sc.) is a prestigious professional degree created to meet the growing demand for advanced training in scientific research and applications, representing the highest level of qualification in science and research. Graduates can pursue top-tier roles in research and development, consultancy, or academia as full-time or adjunct professors.
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 Doctorate in Science (D.Sc) By Dunster Business School
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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:
1: Two-Way Live Training Two-way Live Online Interactive Classroom Sessions
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2: Projects Facility to undergo various projects along with the course.
3: Student Engagement & Events Free Access to #AskHenry Hackathons and Competitions & many other facilities from Henry Harvin®
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4: Masterclass Access to 52+ Masterclass Sessions for essential soft skill development
5: Membership Get Gold Membership of Henry Harvin®
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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
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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 in Scientific Research (Course Context Video)
c. What is Quantitative Research?
d. Ethics of Quantitative Research in Science
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 and Validating Scientific Models
k. Session Summary
a. Session Overview
b. Fundamentals of Research Design in Scientific Studies
c. Components of a Research Design
d. Characteristics of a Robust Scientific 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 Scientific Research Design
k. Session Summary
a. Session Overview
b. Defining and Utilizing Surveys in Scientific Research
c. Exploring Survey Methods in Scientific Inquiry
d. Session Summary
e. Session Overview
f. The Process of Questionnaire Development
g. Designing a Questionnaire for Scientific Studies
h. Designing Scientific Rating Scales
i. The Art of Asking Scientific Research Questions
j. Session Summary
k. Session Overview
l. Tips to Conduct Effective Surveys in Scientific Research
m. Ethics of Using Technology in Scientific Surveys
n. Session Summary
a. Session Overview
b. What is Measurement in Science?
c. True Score Theory and Estimating Measurement Errors
d. Evaluating Validity of Scientific Measures
e. Evaluating Reliability of Scientific Measures
f. Session Summary
g. Session Overview
h. Basic Concepts of Sampling in Scientific Studies
i. Problems and Biases in Scientific Sampling
j. Probability Sampling Techniques
k. Non-Probability Sampling Techniques
l. Session Summary
m. Session Overview
n. Determining the Sample Size for Scientific Studies
o. Sampling Distribution and Statistical Inference
p. Demonstrations on Scientific Sampling
q. Session Summary
a. Session Overview
b. Significance of Comparing Means for Scientific Analysis
c. What is ANOVA in Scientific Research?
d. Types of ANOVA and Their Applications
e. Calculating and Interpreting One-Way ANOVA
f. Session Summary
g. Session Overview
h. Building Statistical Models for Scientific Analysis
i. Effects of Moderating and Mediating Variables
j. Demonstration on Mediation and Moderation in Science
k. Session Summary
a. Session Overview
b. What is Factor Analysis?
c. Conducting Factor Analysis in Scientific Research
d. Demonstration on R: Factor Analysis in Science
e. Interpreting Factor Scores in Scientific Contexts
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 in Scientific Research
c. MANOVA and Its Applications
d. Logistic Regression in Scientific Studies
e. Structural Equation Modeling in Science
f. Tree Structured Methods in Data Analysis
g. Conjoint Analysis in Scientific Research
h. Session Summary
i. Session Overview
j. Time Series Analysis in Scientific Research
k. Cluster Analysis and Its Applications
l. Session Summary
a. Session Overview
b. Introduction to Formatting a Scientific Research Project
c. Components of a Quantitative Research Paper in Science
d. Writing the Summary, Background, and Purpose of a Scientific Study
e. Writing the Literature Review for Scientific Research
f. Detailing Research Design/Methodology in Science
g. Curating Results, Analysis, and Supplementary Findings
h. Outlining Conclusions and Recommendations
i. Making Appendices for Scientific Research
j. Session Summary
k. Session Overview
l. Writing Different Types of Quantitative Scientific Papers
m. Guidelines for Fine-Tuning Scientific Research Presentations
n. Session Summary
Module 4: Qualitative Research Methods
a. Key Elements of Qualitative Research in Scientific Studies
b. Writing Qualitative Research Questions for Scientific Inquiry
c. Theoretical Frameworks in Scientific Qualitative Research
d. Steps to Writing a Qualitative Research Paper in Science
e. Ethical Considerations in Scientific Research and Institutional Review Board (IRB) Compliance
f. Introduction to Scientific Design Strategies
g. Data Collection and Analytical Strategies in Scientific Research
h. Introduction to Research Design for Science-Based Studies
i. Major Aspects of Research Design in Scientific Research
a. Sources of Evidence in Scientific Research: A Comparative Analysis
b. Data Collection Forms: Strengths and Weaknesses in Scientific Inquiry
c. Principles of Data Collection in Scientific Research
d. Sampling Techniques in Scientific Qualitative Studies
e. Ensuring Reliability and Validity in Scientific Qualitative Research
a. Conducting Scientific Interviews for Qualitative Inquiry
b. Focus Groups in Scientific Research: Design and Execution
c. Ethical Considerations in Scientific Interviews and Focus Groups
a. Overview of Data Analysis in Scientific Research
b. First Cycle Coding: Descriptive and Demonstrative Analysis
c. Second Cycle Coding: Advanced Categorization and Analysis
d. Jottings and Analytic Memoing for Scientific Inquiry
e. Assertions and Propositions in Science-Based Research
f. Within-Case and Cross-Case Analysis in Scientific Qualitative Research
a. Matrix and Network Analysis in Science-Based Studies
b. Timing and Formatting of Scientific Data Displays
c. Extracting Inferences and Drawing Scientific Conclusions
d. Exploring Fieldwork in Progress for Scientific Research
e. Investigating Variables in Scientific Research
f. Structuring Reports in Progress for Science-Based Research
a. Describing Scientific Participants and Research Settings
b. Exploring Variability in Scientific Observations
c. Describing Actions and Reactions in Scientific Studies
d. Ordering Data by Time and Process in Scientific Research
e. Explaining Interrelationships and Changes in Scientific Phenomena
f. Investigating Causation in Scientific Qualitative Research
g. Making Scientific Predictions from Qualitative Findings
a. Methods to Achieve Integration Among Diverse Scientific Data
b. Techniques to Sharpen Understanding Through Differentiation
c. Abstract Relationship Mapping in Scientific Data
d. Strategies for Constructing Coherent Scientific Explanations
e. Methods for Testing and Confirming Scientific Qualitative Findings
f. Establishing Standards for Scientific Conclusion Quality
a. Alternative Qualitative Research Methods for Science-Based Studies
b. Understanding Scientific Research Audiences and Their Impact
c. Formatting and Structuring Scientific Research Reports (APA, IEEE, Nature Style)
d. Introduction to Mixed Methods Research in Science
e. Emerging Technologies in Scientific Qualitative Research (AI, Big Data, Digital Tools)
Know the complete offerings of our Doctorate in Science (D.Sc) By Dunster Business School
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Research
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Technical Skills
Project Management
Teaching & Mentorship
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University Professor
Postdoctoral Researcher
Principal Investigator (PI)
Research Scientist
Data Scientist
Product Development Specialist
Science Writer/Editor
Scientific Program Manager
University Professor, Postdoctoral Researcher
It typically takes 3 to 5 years, depending on the completion of research work, coursework, and the final dissertation.
The D.Sc is typically a higher-level doctoral degree that recognizes significant and original contributions to scientific research beyond a traditional Ph.D.
Students are evaluated through coursework, regular progress reviews, and the quality of their research work, culminating in the dissertation submission and defense.
Students gain access to an extensive digital library, advanced research tools, and opportunities to collaborate with experts in their field.
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