Ph.D. Coursework: Advanced Research Methodology & Academic Writing

Overview
Curriculum
Instructor
FAQs

Course Overview

This Ph.D. coursework is designed to guide doctoral scholars through the entire research lifecycle — from ideation and methodology to data analysis, thesis writing, and publishing. It blends foundational research skills with modern tools such as SPSS, R, and explores the emerging role of AI in research. Additionally, it includes training in conducting effective literature reviews, academic writing, and journal selection for publication.

By the end of this course, participants will be able to:

Design and execute a research project using appropriate methodologies.
Analyze quantitative and qualitative data using SPSS and R.
Leverage AI tools for literature review, analysis, and writing support.
Write effective research papers and theses aligned with academic standards.

Identify suitable journals for research publication.

Requirements

None

Features

Project Work + Viva + Continuous Evaluation

Target audiences

Ph.D. Scholars across disciplines

Curriculum

10 Sections
10 Lessons
25 Hours

Expand all sectionsCollapse all sections

Introduction to Research (2hours)
1
- 1.1
  Nature of research, objectives, types of research, research ethics
Research Design & Methodology (2hours)
1
- 2.1
  Problem formulation, hypotheses, variables, sampling, data collection techniques
Literature Review Techniques (3hours)
1
- 3.1
  Searching databases (Scopus, Web of Science, Google Scholar), organizing literature using tools (Zotero, Mendeley), writing reviews
Quantitative Data Analysis with SPSS (5hours)
1
- 4.1
  Data entry, descriptive statistics, t-tests, ANOVA, regression, interpretation of outputs
Cryptography Fundamentals (3hours)
1
- 5.1
  Symmetric vs. asymmetric encryption, hashing, digital signatures, PKICopy
Data Analytics using R (5hours)
1
- 6.1
  Installing R and RStudio, importing data, descriptive and inferential analysis, basic visualization
Role of AI in Research (2hours)
1
- 7.1
  Using ChatGPT for research design, AI tools for summarization, AI in data analysis and writing assistance, ethical considerations
Academic Writing: Research Papers (2hours)
1
- 8.1
  Structure of a paper, IMRaD format, abstract writing, referencing styles (APA, MLA, Chicago), plagiarism checks
Thesis and Dissertation Writing (2hours)
1
- 9.1
  Chapter-wise structure, research arguments, formatting, citation management, submission process
Research Publication Process (2hours)
1
- 10.1
  Identifying journals (indexed, UGC CARE, impact factor), avoiding predatory journals, peer review process, responding to reviewers

Instructor

Academy team

204 Students

14 Courses

Yes, as per UGC guidelines, Ph.D. coursework is mandatory and includes research methodology and related training

No. The course starts with basics and builds progressively. No prior programming or statistics background is needed.

Yes. The course covers journal identification, paper writing, and submission processes to help scholars publish confidently.

Yes, AI tools can support literature review, writing, and grammar checks, but must be used ethically and cited where appropriate.

Absolutely. SPSS, R, citation tools, and AI platforms will be demonstrated and practiced during live sessions or labs

Yes, a formal Ph.D. coursework completion certificate will be awarded, which may be required during thesis submission.

₹ 30,000.00₹ 25,000.00

₹ 30,000.00

Duration 25 hour
Lessons 10
Quizzes 0
Language English
Skill level intermediate
Certificate yes

Full lifetime access