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PHD in Library And Information Science at Gujarat University

Gujarat University is a premier public state university located in Ahmedabad, established in 1949. Renowned for its diverse academic offerings and robust research ecosystem, the university provides over 422 UG, PG, diploma, and doctoral programs. Its expansive 300-acre campus fosters a vibrant learning environment, complemented by a strong focus on career outcomes.

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Ahmedabad, Gujarat

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About the Specialization

What is Library and Information Science at Gujarat University Ahmedabad?

This Library and Information Science PhD program at Gujarat University focuses on advanced research in the theoretical and applied aspects of information management and library science. It prepares scholars to contribute innovative solutions to the evolving information landscape in India, addressing critical needs in digital resource management, information retrieval, and knowledge organization. The program''''s interdisciplinary approach is vital for the dynamic Indian information sector.

Who Should Apply?

This program is ideal for academic researchers, seasoned library professionals, information managers, and data scientists seeking to advance their expertise and contribute to scholarly knowledge. It attracts individuals with a strong master''''s degree in LIS or related fields, who possess a keen interest in critical inquiry, problem-solving, and a desire to shape the future of information services and access in the Indian context.

Why Choose This Course?

Graduates of this program can expect to secure roles as university professors, research scientists in institutions, information consultants, or directors of library systems within India. Entry-level salaries for PhD holders in academia typically range from INR 6-10 lakhs per annum, with significant growth potential for experienced professionals. The program fosters advanced analytical and research skills crucial for leadership in national and international information bodies.

Student Success Practices

Foundation Stage

Master Research Methodology Fundamentals- (Semester 1-2 (Coursework Phase))

Dedicate early coursework to thoroughly understand research methodologies, including quantitative and qualitative approaches, research ethics, and data analysis techniques. Utilize resources like NPTEL courses on research methodology and statistical software tutorials.

Tools & Resources

NPTEL courses, SPSS/R/Python for statistical analysis, Mendeley/Zotero for citation management

Career Connection

A strong foundation ensures rigorous thesis work and is essential for any research or academic career, proving competence in scholarly inquiry.

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

Engage deeply with the existing literature in your chosen specialization from the outset. Systematically identify research gaps and potential contributions. Regularly use databases like Web of Science, Scopus, and Google Scholar to stay updated and critically analyze papers.

Tools & Resources

Web of Science, Scopus, Google Scholar Alerts, Reference management software

Career Connection

This skill is critical for developing a novel research topic, defining thesis scope, and demonstrating expertise in your domain, leading to impactful publications.

Engage with Faculty and Research Peers- (Semester 1-2 (Throughout Coursework))

Actively participate in departmental seminars, workshops, and research discussions. Seek regular feedback from your supervisor and engage in peer-to-peer learning. This fosters a supportive research environment and broadens perspectives on research problems.

Tools & Resources

Departmental seminars, Research colloquia, Peer discussion groups

Career Connection

Building strong academic networks early on can lead to collaborative projects, mentorship opportunities, and future academic/professional connections.

Intermediate Stage

Develop Advanced Specialization Skills- (Years 2-3 (Post-coursework))

Beyond coursework, delve deeper into your specific research area within Library and Information Science. This might involve learning specialized software, data analysis techniques relevant to LIS (e.g., bibliometrics tools), or advanced archival methods. Attend specialized workshops.

Tools & Resources

Specialized LIS software (e.g., VOSviewer for bibliometrics), Advanced database management tools, Domain-specific workshops

Career Connection

Cultivating niche expertise makes you highly valuable in specific research domains and positions you for specialized roles in digital libraries or information analytics.

Present Research at Conferences & Workshops- (Years 2-3)

Begin presenting your research progress and preliminary findings at national and state-level conferences related to Library and Information Science. Seek opportunities for poster presentations or short papers. This refines presentation skills and exposes your work to a broader audience.

Tools & Resources

National/International LIS conferences (e.g., IASLIC, ILA), University research expos

Career Connection

Conference presentations enhance your academic profile, allow networking with experts, and are crucial for gaining visibility and refining your research before thesis submission.

Publish in Peer-Reviewed Journals- (Years 2-3)

Aim to publish at least one or two research papers in reputed peer-reviewed journals during your PhD tenure. Start with review articles or initial findings. This demonstrates your ability to conduct original research and disseminate it effectively.

Tools & Resources

UGC-CARE listed journals in LIS, Journal submission platforms, Academic writing support services

Career Connection

Publications are a cornerstone for academic career progression (assistant professor roles) and for establishing credibility as a researcher in the field.

Advanced Stage

Focus on Thesis Writing & Defense Preparation- (Final Year/Thesis Submission Phase)

Dedicate ample time to structured thesis writing, ensuring clarity, coherence, and adherence to academic standards. Engage in mock defense sessions with your supervisor and peers to prepare for the viva-voce examination, addressing potential questions and critiques.

Tools & Resources

Thesis formatting guidelines, Academic writing workshops, Mock viva sessions

Career Connection

A well-written and successfully defended thesis is the ultimate gateway to the PhD degree and is critical for opening doors to academic and research positions.

Cultivate Teaching & Mentoring Skills- (Final Year)

If aspiring for an academic career, seek opportunities to assist in teaching undergraduate or master''''s level LIS courses, lead tutorials, or mentor junior research scholars. This builds pedagogical experience and enhances communication skills.

Tools & Resources

Teaching assistantships, University faculty development programs

Career Connection

Teaching experience is highly valued in faculty recruitment processes and helps develop essential leadership and communication competencies.

Strategic Career Planning & Networking- (Final Year/Post-Thesis Submission)

Actively network with potential employers, attend job fairs, and tailor your CV and cover letter for specific academic or research positions. Utilize professional platforms like LinkedIn to connect with LIS professionals and explore opportunities in India and abroad.

Tools & Resources

LinkedIn, Professional LIS associations (e.g., ILA), University career services

Career Connection

Proactive career planning and networking are crucial for securing desirable positions post-PhD, whether in academia, government, or the private sector.

Program Structure and Curriculum

Eligibility:

  • Master''''s degree (or equivalent) in relevant discipline with minimum 55% marks (or 50% for SC/ST/OBC/Differently Abled), and qualification in an Entrance Test conducted by the University or UGC-NET/JRF, SLET, GATE, Teacher Fellowship holder, M.Phil. degree (as per UGC 2016 regulations).

Duration: Minimum 3 years (as per UGC PhD regulations), coursework minimum 1 semester

Credits: Minimum 8 credits, Maximum 16 credits (for coursework) Credits

Assessment: Assessment pattern not specified

Semester-wise Curriculum Table

Semester 1

Subject CodeSubject NameSubject TypeCreditsKey Topics
Research Methodology (including Quantitative Methods and Computer Applications)Core CourseworkPart of 8-16 credits total for coursework
Review of LiteratureCore CourseworkPart of 8-16 credits total for coursework
Specialization Paper (in Library and Information Science)Specialization CourseworkPart of 8-16 credits total for coursework
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