Doctor of Philosophy (Ph.D.)
The Doctor of Philosophy (PhD) is a rigorous academic program designed to advance knowledge across various disciplines and fields of study. It is ideal for individuals pursuing careers in academia, research, or leadership positions that require a high level of analytical and conceptual skills.
Benefits of the Course
Attain In-Depth Expertise and Knowledge
Develop a profound understanding of your chosen field through intensive study and research.Open Doors to Career Advancement and Leadership Roles
Enhance your qualifications for senior positions in academia, industry, or government.Develop Skills to Address Complex, Real-World Problems
Learn to apply theoretical knowledge to solve practical challenges.Build a Global Network of Academic and Professional Contacts
Collaborate with scholars and professionals worldwide, expanding your opportunities for future endeavors.
Learning Outcomes
Conduct Independent, High-Quality Research
Gain the ability to design and execute original research projects.Attain Deep Understanding of Theories and Frameworks
Master the foundational and advanced concepts within your discipline.Produce Impactful Publications
Articulate complex ideas clearly and effectively through scholarly articles and papers.Acquire Advanced Analytical and Problem-Solving Skills
Enhance your ability to analyze data and develop innovative solutions.Explore Ethical Considerations in Your Field
Understand and apply ethical principles related to research and professional practice.Prepare for Careers in Academia and Research
Equip yourself for roles as professors, researchers, or specialized professionals.
Shape Your Tomorrow ,Today
Admissions Open for the year 2024-2025
- 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.
Ph.D. in Business and Management
Ph.D. in Mathematics
Ph.D. in Law
Ph.D. in Educational Psychology
Ph.D. in Performing Arts
Ph.D. in Medical Sciences
Ph.D. in Computer & Technology
Ph.D. in Sustainable Development & Environmental Sciences
Curriculum
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
- 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.
Module 3: Quantitative Research 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
Module 4: Qualitative Research Methods
- 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
Reviews
Frequently Asked Questions
What skills will I gain from a Doctor of Philosophy (PhD) program?
As a PhD student, you will develop advanced skills in research methodologies, critical thinking, analytical reasoning, academic writing, and problem-solving within your chosen field.
Is a Doctor of Philosophy (PhD) recognized internationally?
Yes, a PhD is a globally recognized academic degree, symbolizing the highest level of expertise in a particular field of study.
What topics are covered in a Doctor of Philosophy (PhD) program?
The topics vary depending on the discipline but generally include advanced coursework in your field, research methodology, ethics, and the completion of an original dissertation.