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MKU Research Coursework Format and Referencing Guidelines

MK University Patan Ph.D. Admission 2025

M.K. University Patan, as per the Gujarat Private Universities Act, is a prestigious university that desires to be a world-class university and provide quality education and push forward research in a number of disciplines. Numerous opportunities are there for future researchers at MKU, and you are invited to be a part of it. If you would like to carry out Ph.D. at MK University Patan in 2025, following step-by-step guidelines will make admission easy.

MK University Patan PhD Highlights

Full Form

Doctor of Philosophy

Course Duration

3 to 6 years

Eligibility

Master’s Degree in Relevant Field

Popular Entrance Exams

JEST, GATE, UGC NET, CSIR NET, ICMR JRF, and GPAT, etc.

Course Fee

3 to 5 lakh

Average Salary

8 to 10 lakh per annum

Top Recruiters

Government Departments, Research Institutes, Academic Institutions, Colleges & Universities, etc.

Popular Jobs

Policy Analyst, Product Manager, Associate Professor, Research Advisor, Research Consultant, & Scientific Writer, etc.

 

Ph.D. Coursework at MK University Patan, Gujarat

M.K. University Patan, Gujarat, runs a systematic and formal Ph.D. course program designed to enhance higher research ability and higher acquaintance in chosen fields. Ph.D. coursework is a significant part of the course that facilitates the researchers to develop skills in advanced individual research in addition to contributing immensely to the chosen disciplines.

Objective of Ph.D. Coursework

The fundamental purpose behind the Ph.D. coursework is to:

Improve Research Skills: Equip students with the skills and methods needed to conduct quality research.

Subject Knowledge: Share in-depth knowledge of the chosen subject, encompassing theoretical concepts and practical experiences

Critical Thinking: Develop critical thinking and problem-solving abilities required for both academic and professional success.

Academic Integrity: Encourage ethical research practice and a commitment to scholarly excellence.

Structure and Duration

Duration: The coursework lasts a minimum of one semester.

Attendance Requirement: The students must have at least 75% attendance in work classes.

Teaching Load: One credit hour is equivalent to 12 teaching hours per week, comprising lectures, seminars, and tutorials.

PhD Course Work Syllabus

The PhD course work is structured to equip scholars with essential skills, knowledge, and ethical understanding for conducting quality academic research. It consists of six key components:

 1. Research Methodology

Objective:

To introduce scholars to the principles of systematic research design

Content Highlights:

 Introduction to Research: Definition, types (basic/applied, qualitative/quantitative), and its role in academia.

 Research Design: Topic selection, problem definition, setting objectives, and choosing methods

 Sampling Techniques: Random, stratified, and convenience sampling.

 Data Collection: Primary (surveys, interviews) and secondary sources (books, articles).

 Tools: Use of questionnaires, interviews, observation sheets.

 Proposal Writing: Structure including title, background, research questions, and methodology.

Outcome:

Scholars will develop effective research plans with appropriate tools and strategies.

 2. Quantitative Method

Objective:

To enable scholars to handle numerical data and apply statistical techniques

Content Highlights:

 Basics: Quantitative analysis principles and measurement concepts.

 Descriptive Statistics: Mean, median, mode, standard deviation, charts.

 Inferential Statistics: Hypothesis testing, t-test, chi-square, ANOVA, regression.

 Probability & Sampling: Normal distribution and sampling errors.

 Statistical Software: Introduction to SPSS, R, Excel for data analysis.

Outcome:

Researchers will analyze and interpret data using statistical tools.

 3. Computer Application

Objective:

To build digital literacy for research, writing, and data analysis

Content Highlights:

 Computer Basics: Hardware, software, OS, and file management.

 Word Processing: Formatting theses, citations, and references.

 Spreadsheet: Data entry, analysis, and formulas in Excel.

 Presentation Tools: Creating presentations with PowerPoint or Google Slides.

 Reference Management: Using Zotero, Mendeley, EndNote.

 Data Analysis Software: Basics of SPSS, R, Python.

 Online Tools: Research databases like Google Scholar, Scopus.

Outcome:

Scholars will efficiently use digital tools for research and communication.

 4. Reviewing Published Research

Objective:

To train scholars in critically analysing existing literature

Content Highlights:

 Purpose: Identifying research gaps and building background.

 Searching: Using JSTOR, Scopus, Web of Science, PubMed

 Reading & Analysis: Evaluating research objectives, methodology, and findings.

 Organizing: Creating summaries and thematic groupings.

 Citation Styles: APA, MLA, Chicago, IEEE.

 Identifying Gaps: Spotting under-researched areas

Outcome:

Scholars will conduct thorough literature reviews and frame informed research questions.

 5. Research and Publication Ethics – I

Objective:

To instil ethical awareness in the research process

Content Highlights:

 Importance of Ethics: Integrity in scientific work.

 Ethical Guidelines: Informed consent, confidentiality, data protection.

 Plagiarism & Misconduct: Types, prevention, consequences.

 Authorship & Acknowledgement: Proper credit and contribution recognition.

 Conflict of Interest & IRBs: Disclosure and ethical review processes.

Outcome:

Researchers will practice ethical standards in all stages of research.

 6. Research and Publication Ethics – II

Objective:

To deepen knowledge of publication ethics and global research norms

Content Highlights:

 Publication Ethics: Avoiding duplicate publication, data fabrication.

 Peer Review: Types of review, responsibilities, and responding to feedback.

 Open Access & Copyright: Publishing models and licensing.

 Predatory Journals: Identification and avoidance.

 IPR: Basics of copyright, patents, trademarks.

 Collaborative Research Ethics: Data sharing, co-authorship across institutions.

Outcome:

Scholars will understand best practices in academic publishing and collaborative research.

 Overall Learning Outcomes

After completing the course, PhD scholars will:

 Design sound research projects

 Analyze data with appropriate tools

 Use technology effectively in research

 Conduct critical literature reviews

 Follow ethical standards in research and publishing

 Be ready to write and publish academic articles

 Assessment Methods

 Written assignments and papers

 Research proposal presentation

 Software/statistics exercises

 Viva-voce examination

 Participation in seminars/workshops

 Critical reviews of published research

Coursework Components

Coursework consists of a combination of core and elective subjects appropriate to the discipline. Typical components are:

Research Methodology: Courses on research design, data analysis, and academic writing

Subject-Specific Topics: Advanced topics related to the scholar's field of study.

Seminars and Workshops: Discussion courses for exploration of issues of contemporary interest and recent advances.

Assessment: Assignments, presentations, and examinations to test understanding and application of knowledge.

Evaluation and Grading

Assessment Methods: Hybrid system involving continuous assessments (assignments, presentations) and end-semester exams.

Grading System: Grading on performance as per the grading policy of the university.

Minimum Requirement: There exists a minimum grade point average (GPA) to be obtained in order to qualify for the research phase.

Research Advisory Committee

Upon satisfactory completion of the coursework, students are assigned a Research Advisory Committee with:

Research Supervisor: Faculty member who oversees the student's research experience

Co-Supervisor: Other specialist who provides specialized advice

Committee Members: Faculty members giving inputs and feedback on the research proposal and progress

Facilities and Support

MK University Patan provides a facilitative research environment through:

 Central Research Laboratories: Sophisticated experimental and interdisciplinary research centers.

 Innovation Hub: A platform that fosters creativity and interaction between researchers.

 Library Resources: Rich academic journals, books, and digital resources made available.

 IT Infrastructure: High-speed internet and computing facilities to support research work.

Conclusion

The Ph.D. program at MK University Patan is designed with utmost care to provide students with the capability to handle challenges in higher research. The program aims to provide students with intensive academic training and actual research experience so that they become efficient researchers who can contribute significantly to their field of study.

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