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PHD in Data Science at JAIN (Deemed-to-be University)
Bengaluru, Karnataka
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About the Specialization
What is Data Science at JAIN (Deemed-to-be University) Bengaluru?
This PhD in Data Science program at JAIN University focuses on cultivating expertise in independent research within core data science domains like machine learning, big data, artificial intelligence, and statistics. It prepares scholars to address complex, real-world problems, contributing significantly to India''''s burgeoning data-driven economy. The program emphasizes advanced theoretical foundations and practical applications relevant to current industry needs and academic advancements.
Who Should Apply?
This program is ideal for master''''s degree holders in relevant disciplines with a strong academic record, research aptitude, and a keen interest in advanced data science. It caters to aspiring researchers, academicians, and industry professionals seeking to innovate and contribute original knowledge in areas like AI, ML, and big data analytics, thereby impacting India''''s tech landscape.
Why Choose This Course?
Graduates of this program can expect to pursue careers as leading researchers, data scientists, machine learning engineers, or faculty members in prestigious institutions and R&D divisions within India and globally. Salary ranges for PhD holders typically start from INR 10-15 LPA for entry-level research roles, escalating significantly with experience. Scholars will contribute to critical advancements in areas vital for India''''s digital transformation.
Student Success Practices
Foundation Stage
Master Research Foundations- (undefined)
Thoroughly engage with the ''''Research Methodology and IPR'''' coursework. Focus on understanding research problem identification, literature review, and ethical considerations. Actively participate in seminars and discussions to refine your initial research proposal. Develop strong academic writing skills early on.
Tools & Resources
JAIN University Library Resources (Scopus, Web of Science), Mendeley/Zotero for citation management, Academic writing workshops
Career Connection
A solid research foundation is crucial for successful thesis completion and for any future research or academic role in India or abroad. It ensures ethical research practices and high-quality scholarly output.
Deep Dive into Data Science Core- (undefined)
Go beyond the ''''Advanced Topics in Data Science'''' coursework. Independently explore advanced concepts in machine learning, deep learning, and big data technologies. Identify gaps in existing literature through extensive reading and start brainstorming potential research problems within these areas, aligning with faculty expertise.
Tools & Resources
Coursera/edX for specialized MOOCs, arXiv.org for pre-print research papers, TensorFlow/PyTorch documentation
Career Connection
Developing a deep understanding of core data science fields early on enables the formulation of innovative research questions and makes you highly competitive for specialized roles in AI/ML in India''''s booming tech sector.
Engage with Departmental Research- (undefined)
Attend departmental research colloquia, faculty presentations, and PhD student defense seminars. This exposes you to ongoing research, potential supervisors, and the breadth of research areas within Data Science at JAIN University. Seek informal discussions with faculty to understand their research interests.
Tools & Resources
Departmental seminar schedules, JAIN University''''s faculty profiles
Career Connection
Early engagement helps in identifying a compatible research supervisor and understanding the research culture, which are critical for timely PhD completion and building a strong academic network in India.
Intermediate Stage
Develop Advanced Technical Skills- (undefined)
Beyond coursework, dedicate time to master programming languages like Python/R and advanced data science libraries. Work on mini-projects to implement complex algorithms and explore various datasets. Participate in hackathons or data science competitions to hone problem-solving skills.
Tools & Resources
Kaggle competitions, GitHub for open-source contributions, Jupyter notebooks
Career Connection
Strong practical skills are indispensable for conducting advanced research. This directly translates to employability in research-intensive roles and enhances the quality of your PhD contributions, sought after by Indian tech companies.
Active Publication and Conference Participation- (undefined)
Aim to publish initial findings or literature reviews in reputed national/international conferences or workshops. Actively attend and present your work at conferences to receive feedback, network with peers and experts, and stay updated on the latest research trends. Consider Indian conferences like PAKDD, ICDM, or national workshops.
Tools & Resources
Google Scholar alerts, Call for Papers databases, JAIN University research grants for travel
Career Connection
Publications and conference presentations are vital for academic visibility and career progression in academia and research labs. They build your research profile significantly for jobs in India''''s R&D sector.
Seek Industry Collaboration/Internships- (undefined)
Explore opportunities for short-term research internships or collaborative projects with industry partners. This provides real-world exposure to data science problems, access to proprietary datasets, and mentorship from industry experts. Focus on companies with strong R&D in Bengaluru''''s tech hub.
Tools & Resources
JAIN University''''s placement cell for industry contacts, LinkedIn for networking
Career Connection
Industry experience during PhD enhances the practical relevance of your research and opens doors to R&D roles in leading Indian and multinational companies, providing valuable insights and potential future employment.
Advanced Stage
Focus on Thesis Perfection and Defense Readiness- (undefined)
Dedicate extensive time to writing and refining your doctoral thesis. Ensure clarity, coherence, and originality of your contributions. Regularly consult with your supervisor for feedback and prepare thoroughly for the pre-submission seminar and final viva-voce examination.
Tools & Resources
Grammarly/QuillBot for language refinement, LaTeX for scientific document preparation, Mock defense sessions
Career Connection
A well-written and successfully defended thesis is the ultimate credential, signifying your expertise and readiness for leadership roles in research, academia, or industry in India and globally.
Build a Professional Network- (undefined)
Continuously expand your network by connecting with peers, faculty, and industry leaders at conferences, workshops, and online platforms. Actively participate in research communities and engage in collaborative projects. Mentorship from established researchers can be invaluable.
Tools & Resources
LinkedIn, ResearchGate, Professional body memberships (e.g., ACM India, IEEE)
Career Connection
Networking is crucial for post-PhD career opportunities, collaborations, and staying abreast of developments. A strong professional network helps in securing desirable positions and advancing your career within the Indian and international research ecosystem.
Develop Mentorship and Leadership Skills- (undefined)
Mentor junior PhD or master''''s students, assist in lab management, or take on leadership roles in departmental activities. This hones your leadership, communication, and teaching skills, which are essential for academic positions and leading R&D teams in India''''s innovative companies.
Tools & Resources
University teaching assistant programs, Workshops on leadership and communication
Career Connection
Demonstrating mentorship and leadership abilities significantly enhances your profile for faculty positions, senior research roles, and management positions, making you a well-rounded and impactful professional in the Indian job market.
Program Structure and Curriculum
Eligibility:
- Master’s degree in relevant discipline with minimum 55% marks (or equivalent grade) from a recognized University. For SC/ST/Category-I candidates, a relaxation of 5% in marks is applicable. Candidates must also qualify in the JAIN Entrance Test (JET) followed by an interview.
Duration: Minimum 3 years
Credits: 8 (for coursework) Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester phase
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PHD101 | Research Methodology and Intellectual Property Rights | Core | 4 | Research Problem Identification, Literature Review Techniques, Research Design and Methods, Data Collection and Analysis Techniques, Scientific Writing and Publication Ethics, Plagiarism and Research Integrity, Intellectual Property Rights Overview, Patents, Copyrights, and Trademarks |
| PHDDSC102 | Advanced Topics in Data Science | Core | 4 | Advanced Machine Learning Algorithms, Deep Learning Architectures and Applications, Big Data Technologies and Frameworks, Statistical Modeling for Complex Data, Natural Language Processing in Research, Data Privacy, Security, and Ethical Considerations |
