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PH-D in Management at Rukmini Devi Institute of Advanced Studies

Rukmini Devi Institute of Advanced Studies (RDIAS) is a premier institution in North West Delhi, established in 1996 and affiliated with GGSIPU. It excels in Management, IT, Commerce, and Journalism, offering popular programs like BBA, MBA, BCA, and MCA. RDIAS is committed to academic excellence and career readiness.

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Delhi, Delhi

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About the Specialization

What is Management at Rukmini Devi Institute of Advanced Studies Delhi?

This Ph.D. in Management program at Rukmini Devi Institute of Advanced Studies, affiliated with GGSIPU, focuses on developing advanced research capabilities and fostering innovative thinking in various management disciplines. The program is designed to equip scholars with rigorous methodological skills to address complex business challenges within the Indian industrial landscape, contributing to both academic knowledge and practical solutions. Its core strength lies in its research-intensive curriculum and strong institutional support for doctoral candidates.

Who Should Apply?

This program is ideal for aspiring academics, seasoned industry professionals seeking to delve into advanced research, and motivated individuals passionate about contributing to the body of management knowledge. Candidates typically possess a strong academic record at the Master''''s level and a keen interest in empirical or theoretical investigations into management phenomena, aiming for careers in academia, research institutions, or strategic roles within organizations.

Why Choose This Course?

Graduates of this program can expect to pursue esteemed careers as professors, researchers, and consultants in leading Indian universities and research organizations. The rigorous training enhances analytical and critical thinking skills, preparing scholars for impactful contributions. While specific salary ranges vary, Ph.D. holders typically command higher academic and research positions, with entry-level salaries in academia starting from INR 8-12 LPA and growing significantly with experience and publications.

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Student Success Practices

Foundation Stage

Master Research Methodology Fundamentals- (Semester 1)

Engage deeply with the ''''Research Methodology & Quantitative Techniques'''' coursework. Attend all lectures, actively participate in discussions, and complete assignments thoroughly. Focus on understanding statistical software like SPSS/R/Python for data analysis from the beginning. Join workshops on research software to build a strong base.

Tools & Resources

SPSS, R/Python basics, Online courses on statistical methods, Reference books on research methodology

Career Connection

A strong foundation in research methodology is crucial for conducting credible research, forming the bedrock for your thesis and future academic publications.

Proactive Literature Review & Gap Identification- (Semester 1-2)

For the ''''Review of Literature, Field Work & Seminar'''' course, start identifying potential research areas early. Utilize library resources and academic databases extensively. Critically analyze published research papers to identify gaps and articulate a clear research problem. Regularly discuss your findings and evolving research interests with your supervisor.

Tools & Resources

JSTOR, Scopus, Web of Science, Google Scholar, Mendeley/Zotero for reference management

Career Connection

Developing the skill to identify research gaps is fundamental to contributing original knowledge, a key requirement for a successful Ph.D. and a research career.

Build a Strong Supervisor-Scholar Relationship- (Ongoing from Semester 1)

Schedule regular, structured meetings with your Ph.D. supervisor. Prepare discussion points and updates in advance. Be open to feedback and proactively seek guidance on coursework, research direction, and academic challenges. This relationship is paramount for navigating the Ph.D. journey effectively.

Tools & Resources

Meeting scheduling tools, Shared document platforms for progress tracking

Career Connection

An effective supervisor relationship provides mentorship, networking opportunities, and critical guidance essential for timely thesis completion and career progression.

Intermediate Stage

Develop Advanced Statistical & Analytical Skills- (Year 2-3)

Beyond coursework, dive deeper into specialized statistical techniques relevant to your chosen domain. This might include structural equation modeling (SEM), panel data analysis, or advanced qualitative data analysis methods. Pursue certification courses or workshops to gain expertise in tools like AMOS, NVivo, or advanced R programming.

Tools & Resources

AMOS, SmartPLS, NVivo, Advanced R/Python libraries for data science, Online certifications

Career Connection

Advanced analytical skills are highly valued in academia and industry, enabling you to conduct sophisticated research and secure positions requiring high-level data interpretation.

Engage in Academic Publishing and Conferences- (Year 2-4)

Transform your literature review, pilot studies, or initial research chapters into publishable papers. Target national and international conferences to present your work and gain feedback. Aim for publications in peer-reviewed journals, starting with UGC CARE listed journals in India, to build your research profile.

Tools & Resources

Conference databases (e.g., EasyChair), Journal submission portals, Academic writing workshops

Career Connection

Publications and conference presentations are vital for academic career progression, establishing your credibility as a researcher, and expanding your professional network.

Network with Scholars and Industry Experts- (Ongoing from Year 2)

Actively participate in departmental seminars, guest lectures, and research colloquia. Connect with fellow Ph.D. scholars, faculty from other institutions, and industry leaders through conferences, LinkedIn, and professional associations like AIMA or NHRDN. These connections can lead to collaborations, mentorship, and future career opportunities.

Tools & Resources

LinkedIn, Professional association memberships, University events calendar

Career Connection

A strong professional network opens doors to job opportunities, collaborative research, and provides critical support throughout your academic and professional journey.

Advanced Stage

Refine Thesis Writing and Defense Skills- (Year 4-5)

Focus intensely on writing and structuring your thesis, ensuring clarity, coherence, and originality. Seek feedback from your supervisor and peers rigorously. Practice mock thesis defense presentations to articulate your research effectively, anticipate questions, and confidently defend your contributions.

Tools & Resources

Grammarly/Turnitin for academic integrity, LaTeX/Microsoft Word advanced features, Presentation software (PowerPoint/Keynote)

Career Connection

A well-written and successfully defended thesis is the culmination of your Ph.D., directly leading to degree conferral and demonstrating your capability for independent research.

Explore Post-Doctoral and Academic Job Market- (Year 4-6)

Begin researching post-doctoral opportunities, faculty positions, and research roles well before thesis submission. Prepare a compelling academic CV, cover letters, and teaching/research statements. Network actively with faculty in your target institutions and attend academic job fairs.

Tools & Resources

HigherEdJobs.com (global), Indian university career pages, LinkedIn for academic job alerts

Career Connection

Proactive job market exploration ensures a smooth transition from Ph.D. candidate to a professional academic or researcher, aligning your skills with available opportunities.

Contribute to Institutional Research Ecosystem- (Year 3-6)

Take opportunities to assist faculty with their research projects, mentor junior Ph.D. scholars, or contribute to departmental initiatives. Participate in grant writing, research proposal development, and academic outreach activities. This builds leadership skills and broadens your research experience beyond your specific thesis.

Tools & Resources

Internal university research funding calls, Collaborative research platforms

Career Connection

Active involvement strengthens your academic citizenship, enhances your CV for faculty positions, and demonstrates your commitment to the broader research community.

Program Structure and Curriculum

Eligibility:

  • Master''''s Degree in Management or allied subjects/M.Tech./M.E./M.Pharm./M.Sc./M.Phil. with at least 55% marks (or equivalent grade). A relaxation of 5% marks is given for SC/ST/OBC (Non-Creamy Layer)/Differently-abled candidates. Must qualify the RDIAS Ph.D. entrance exam or be exempted if holding UGC/CSIR NET JRF, GATE, or Teacher Fellowship.

Duration: Minimum 3 years, maximum 6 years

Credits: 8 credits (for coursework) Credits

Assessment: Internal: 30%, External: 70%

Semester-wise Curriculum Table

Semester 1

Subject CodeSubject NameSubject TypeCreditsKey Topics
PH D 101Research Methodology & Quantitative TechniquesCore4Introduction to Research and Problem Identification, Research Design and Hypothesis Formulation, Sampling Design and Data Collection Methods, Scaling Techniques and Questionnaire Design, Data Analysis: Parametric & Non-Parametric Tests, Advanced Multivariate Techniques (Factor, Discriminant Analysis), Research Report Writing and Ethics
PH D 103Review of Literature, Field Work & SeminarCore (Domain Specific)4Advanced Literature Search and Review Strategies, Bibliographic Tools and Reference Management, Critical Analysis of Scholarly Articles, Identification of Research Gaps and Problem Formulation, Conceptual Framework Development, Planning and Execution of Fieldwork (if applicable), Seminar Presentation and Research Proposal Writing
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