Professional Certificate in Research Methodology Batch-03

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About Course

গবেষণা মানে — এটা একটা সুশৃঙ্খল চিন্তার প্রক্রিয়া, যেখানে একটা প্রশ্ন থেকে শুরু করে একটা বিশ্বাসযোগ্য উত্তর পর্যন্ত পৌঁছাতে হয়।

এই কোর্সটা ঠিক সেই journey-টাই ধাপে ধাপে শেখায়।

আপনি শিখবেন:

  • Research paradigm ও philosophy বোঝা (positivism, interpretivism, pragmatism)
  • একটা শক্তিশালী research problem, question ও hypothesis তৈরি করা
  • Literature review লেখা এবং AI দিয়ে সহজে সাহায্য নেওয়া
  • Qualitative (interview, FGD) ও Quantitative (survey, questionnaire) data collection
  • Mixed methods দিয়ে দুটোকেই একসাথে ব্যবহার করা
  • Data ethics, consent ও responsible AI use
  • APA referencing ও একটা পূর্ণাঙ্গ research report লেখা
  • Scopus-indexed journal-এ publish করার কৌশল

পুরো কোর্স জুড়ে থাকছে দুটো live assessment, যাতে শেখাটা শুধু তত্ত্বে আটকে না থেকে বাস্তব প্র্যাকটিসে রূপ নেয়। আর AI-এর যুগে দাঁড়িয়ে, কীভাবে দায়িত্বশীলভাবে AI টুল ব্যবহার করে গবেষণাকে আরও efficient করা যায় — কিন্তু integrity ও accountability বজায় রেখে — সেটাও থাকছে প্রতিটি ধাপে।

এই কোর্স শেষে আপনি শুধু research methodology “জানবেন” না, নিজের হাতে একটা সম্পূর্ণ research blueprint তৈরি করে বের হবেন।

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What Will You Learn?

  • Clarify your paradigm.
  • Choose the right design & sampling.
  • Collect quality data: interviews, FGDs, surveys.
  • Analyze clearly: coding, themes, basic checks.
  • Integrate mixed methods for stronger evidence.
  • Report to persuade: IMRaD, APA, ethics.

Course Content

Orientation Session

Introduction to Research Methodology
Explains the meaning, purpose, characteristics, and importance of research. Students learn the basic stages of conducting systematic research.

Philosophical Foundations
Introduces research paradigms such as positivism, interpretivism, pragmatism, and critical realism. It explains how philosophical assumptions influence research decisions.

Research Problem Identification
Teaches students how to identify a research gap, formulate a clear problem statement, and develop research objectives, questions, and hypotheses.

Literature Review & Writing Part -1
Explains how to search for relevant academic literature using scholarly databases and select credible and appropriate sources.

Literature Review & Writing Part – 2
Focuses on critically evaluating, synthesising, and organising previous studies to develop a coherent literature review and conceptual framework. Use of AI in LR.

Assessment-01

Research Design & Sampling
Introduces qualitative, quantitative, and experimental research designs. It also covers probability and non-probability sampling, sample selection, and sample-size considerations.

Data Ethics & Research Integrity
Discusses informed consent, confidentiality, anonymity, voluntary participation, data protection, plagiarism, authorship, and responsible use of artificial intelligence.

Qualitative Data Collection
Explains qualitative techniques such as interviews, focus-group discussions, observations, and document analysis. Students also learn how to prepare interview guides.

Quantitative Data Collection
Covers surveys, questionnaires, measurement scales, operationalisation of variables, reliability, validity, pilot testing, and basic quantitative data preparation.

Mixed Methods Research
Explains how qualitative and quantitative methods can be combined using convergent, explanatory sequential, and exploratory sequential designs.

APA Referencing & Citation With Research Report Writing
Teaches APA-style in-text citations and reference lists. It also covers research-report organisation using sections such as introduction, methodology, results, discussion, and conclusion.

Publishing in Scopus-Indexed Journals: Strategies & Techniques
Provides guidance on selecting an appropriate journal, following author guidelines, preparing a manuscript, avoiding predatory journals, and responding to reviewers.

Assessment-02

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