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PHD in Information Science And Engineering at Dayananda Sagar College of Engineering

Dayananda Sagar College of Engineering, an autonomous institution established in 1979 in Bangalore, is affiliated with Visvesvaraya Technological University. Spanning 29 acres, DSCE offers 21 undergraduate and 6 postgraduate engineering programs. Known for academic excellence, it boasts a strong placement record and a vibrant campus.

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location

Bengaluru, Karnataka

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About the Specialization

What is Information Science and Engineering at Dayananda Sagar College of Engineering Bengaluru?

This Information Science and Engineering PhD program at Dayananda Sagar College of Engineering focuses on cutting-edge research in areas like Big Data, IoT, Machine Learning, and Cloud Computing. It addresses critical industry needs in India, driving innovation and academic excellence. The program emphasizes deep theoretical understanding coupled with practical research application, preparing scholars to solve complex real-world problems. Its differentiation lies in its strong research infrastructure and experienced faculty mentors.

Who Should Apply?

This program is ideal for master''''s degree holders in engineering or technology seeking advanced research careers in academia or R&D. It also caters to experienced B.E./B.Tech graduates with significant industry experience looking to contribute to scientific knowledge. Candidates passionate about exploring unresolved challenges in information science and contributing original research to the field will find this program highly rewarding.

Why Choose This Course?

Graduates of this program can expect to pursue impactful careers as research scientists, university professors, data scientists, or R&D specialists in leading Indian and multinational corporations. PhD holders command competitive salaries in India, typically starting from INR 10-15 LPA in research roles, with significant growth potential. The program fosters critical thinking, problem-solving, and independent research skills, aligned with top-tier academic and industrial research demands.

Student Success Practices

Foundation Stage

Master Research Methodology & Domain Fundamentals- (undefined)

Dedicate significant effort to understanding core research methodologies, statistical tools, and the chosen domain''''s foundational theories. Actively participate in coursework seminars, engage with faculty, and complete assignments thoroughly to build a strong theoretical base for your research journey.

Tools & Resources

Research methodology textbooks, Statistical software (R, Python libraries), Academic databases (IEEE Xplore, ACM Digital Library, Scopus), Institutional workshops on research ethics

Career Connection

A solid foundation is crucial for designing robust research, avoiding pitfalls, and ensuring the credibility and impact of your doctoral work in any academic or industrial research setting.

Proactive Literature Review & Gap Identification- (undefined)

Engage in an exhaustive and systematic literature review from the outset. Use reference management tools to organize papers and critically analyze existing research. Identify significant research gaps or unexplored problems within your specialization to formulate a novel and impactful research question.

Tools & Resources

Mendeley, Zotero, Google Scholar, Connected Papers, ResearchGate

Career Connection

Developing strong literature review skills and the ability to identify research gaps are highly valued in R&D, consulting, and academic roles, allowing you to innovate and lead new projects.

Build a Strong Mentor Relationship & Peer Network- (undefined)

Regularly communicate with your research supervisor, seeking feedback and guidance on your progress. Actively participate in departmental colloquia and form study groups with fellow PhD scholars. This fosters collaborative learning, provides diverse perspectives, and builds a supportive academic network.

Tools & Resources

Scheduled one-on-one meetings with supervisor, Departmental research forums, Peer discussion groups

Career Connection

Networking with peers and mentors can open doors to collaborative projects, post-doctoral opportunities, and industry connections, vital for career advancement in India and globally.

Intermediate Stage

Develop and Refine Research Proposal- (undefined)

Focus intensely on crafting a compelling and well-structured research proposal. Clearly articulate your research problem, objectives, methodology, expected outcomes, and a detailed timeline. Present your proposal to your Doctoral Research Committee (DRC) and incorporate their feedback diligently.

Tools & Resources

LaTeX for professional document formatting, Microsoft Word/Google Docs for collaborative editing, Presentation software (PowerPoint, Google Slides), DRC meetings

Career Connection

The ability to conceive, plan, and articulate a complex research project is a core skill for any leadership position in research, project management, or strategic roles in industry.

Begin Pilot Implementations & Data Collection- (undefined)

Translate your proposed methodology into action by conducting pilot studies, developing initial prototypes, or setting up data collection mechanisms. Document all experimental setups, data sources, and preliminary findings meticulously. Seek ethical clearances if your research involves human subjects or sensitive data.

Tools & Resources

Programming languages (Python, Java), Cloud platforms (AWS, Azure, GCP), Specialized software/hardware as per research domain, Institutional Ethics Committee guidelines

Career Connection

Practical implementation skills and rigorous data handling are highly sought after by R&D departments and tech companies, ensuring you can deliver tangible results from research ideas.

Actively Publish and Attend Conferences- (undefined)

Prepare and submit your research findings to reputable peer-reviewed journals and conferences. Attending national and international conferences allows you to present your work, receive feedback, and network with leading researchers. Prioritize publications in UGC CARE listed or Scopus/WoS indexed journals.

Tools & Resources

Journal submission platforms, Conference proceedings (e.g., IEEE, ACM), Research publication workshops, Institutional funding for conference travel

Career Connection

Publications and conference presentations enhance your academic profile, increase visibility, and are essential for securing academic positions, post-doctoral fellowships, or advanced R&D roles.

Advanced Stage

Rigorous Thesis Writing and Data Analysis- (undefined)

Dedicate extensive time to data analysis, interpreting results, and writing your thesis. Ensure clarity, coherence, and originality in your arguments. Adhere strictly to institutional formatting guidelines and academic writing standards. Regularly share drafts with your supervisor for critical review and feedback.

Tools & Resources

Academic writing guides, Grammar/plagiarism checkers (Grammarly, Turnitin), Statistical analysis software, Version control for code/data (Git)

Career Connection

Mastering scientific writing and data interpretation is vital for effective communication of complex ideas, a key skill for any senior research or technical leadership role.

Prepare for Pre-Synopsis and Final Viva-Voce- (undefined)

Systematically prepare for your pre-synopsis seminar and final viva-voce examination. Develop clear and concise presentations summarizing your entire research journey, contributions, and findings. Practice defending your work before mock committees to refine your arguments and address potential questions effectively.

Tools & Resources

Presentation software, Practice sessions with peers and mentors, Institutional guidelines for viva voce

Career Connection

The ability to articulate and defend complex research under scrutiny is invaluable for academic roles, grant applications, and high-level presentations in any professional setting.

Strategize Post-PhD Career Path- (undefined)

As you near completion, actively explore post-doctoral opportunities, academic positions, or R&D roles in industry. Network with potential employers, update your CV, and prepare for interviews. Leverage university career services for guidance and placement support.

Tools & Resources

University career services, LinkedIn, Naukri.com/Indeed.com (for India), Academic job portals, Professional networking events

Career Connection

Proactive career planning ensures a smooth transition from doctoral studies to a fulfilling professional journey, maximizing the return on your significant academic investment.

Program Structure and Curriculum

Eligibility:

  • Master’s Degree in Engineering/Technology or equivalent with 60% aggregate marks (55% for SC/ST/Cat-I candidates). OR B.E/B.Tech with 75% aggregate marks and 10 years experience. Qualification in Entrance Test (exempted for UGC-NET / CSIR-JRF / GATE / SLET qualified candidates).

Duration: Minimum 3 years (full-time), Minimum 4 years (part-time)

Credits: 24 (for coursework phase as per VTU norms) Credits

Assessment: Internal: Coursework internal assessment (tests, assignments, seminars), Research Proposal evaluation, Pre-Synopsis Seminar evaluation, External: Coursework end-semester examination, Comprehensive Viva-Voce, Thesis evaluation, Final Viva-Voce

Semester-wise Curriculum Table

Semester phase

Subject CodeSubject NameSubject TypeCreditsKey Topics
Research Methodology and IPRCore Coursework4Introduction to Research, Research Design and Methods, Data Collection and Analysis, Hypothesis Testing, Interpretation and Report Writing, Intellectual Property Rights (Patents, Copyrights, Trademarks, Designs), Research Ethics and Plagiarism
Domain Specific/Interdisciplinary Coursework in Information Science and EngineeringCore Coursework4Advanced topics in research scholar''''s chosen area (e.g., specific aspects of Machine Learning, Deep Learning, Big Data Analytics, Cloud Computing, IoT, Cyber Security), Literature review pertinent to proposed research, Identification of research gaps and problem formulation, Survey of contemporary algorithms and systems in chosen domain
Elective Coursework IElective Coursework4Advanced concepts related to the research problem (e.g., Advanced Database Systems, Network Security Protocols, Image Processing Algorithms, Natural Language Processing techniques), Specialized mathematical or statistical methods relevant to ISE research, Exploration of interdisciplinary concepts supporting research
Elective Coursework II (or Literature Survey)Elective Coursework4In-depth study of a specific area through literature review and critical analysis, Emerging trends in Information Science and Engineering, Advanced programming paradigms or tools for research, Case studies and applications of advanced computing techniques
Comprehensive Viva-VoceEvaluation Component8Assessment of comprehensive knowledge in the chosen domain, Evaluation of understanding of research methodology, Discussion on proposed research work and literature review
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