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PHD in Engineering Artificial Intelligence Data Science Machine Learning Computer Science Design Medical Engineering Agricultural Engineering at Datta Meghe Institute of Medical Sciences (Deemed to be University)
Wardha, Maharashtra
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About the Specialization
What is Engineering (Artificial Intelligence, Data Science, Machine Learning, Computer Science, Design, Medical Engineering, Agricultural Engineering) at Datta Meghe Institute of Medical Sciences (Deemed to be University) Wardha?
This PhD in Engineering program at Datta Meghe Institute of Higher Education and Research focuses on advanced research across Artificial Intelligence, Data Science, Machine Learning, Computer Science, Design, Medical Engineering, and Agricultural Engineering. The program addresses pressing challenges in various Indian industries, from healthcare technology to smart agriculture, by fostering innovation through cutting-edge research. Its interdisciplinary approach allows for deep specialization while contributing to the nation''''s technological and industrial growth, meeting the high demand for specialized research professionals in India.
Who Should Apply?
This program is ideal for postgraduate students with a Master''''s degree in a relevant engineering discipline, seeking to make significant research contributions. It also caters to working professionals in fields like IT, healthcare, or manufacturing who aspire to transition into R&D roles or academic positions. Researchers and faculty members looking to enhance their expertise and contribute to specialized domains within the Indian technological landscape will find this program suitable, provided they meet the rigorous academic and entrance criteria.
Why Choose This Course?
Graduates of this program can expect to pursue impactful careers as research scientists, lead R&D teams in Indian and multinational corporations, or become faculty members in leading academic institutions across India. Potential salary ranges for entry to experienced researchers vary from INR 8-25 LPA, with significant growth potential based on research impact and industry. The program supports candidates in publishing in reputed journals, securing patents, and contributing to the advancement of their chosen engineering field.
Student Success Practices
Foundation Stage
Master Research Methodology and Ethics- (undefined)
Thoroughly understand research methods, statistical tools, and ethical guidelines. Actively participate in workshops on research design, data analysis software (e.g., R, Python for data analysis), and academic integrity. This forms the bedrock for credible and impactful research.
Tools & Resources
Research methodology textbooks, Statistical software tutorials, DMIMS Research Ethics committee guidelines, Online courses on Coursera/edX for research skills
Career Connection
Ensures the foundational quality of your research, crucial for peer-reviewed publications and grant proposals, thereby enhancing your profile for academic and R&D positions.
Build Strong Supervisor-Mentee Relationship- (undefined)
Regularly communicate with your research supervisor, discuss progress, challenges, and seek guidance on your research direction. Proactively prepare for meetings and demonstrate initiative in exploring literature. A strong rapport ensures consistent mentorship and timely feedback.
Tools & Resources
Scheduled weekly/bi-weekly meetings, Research proposal document, Literature review drafts
Career Connection
Effective mentorship is vital for navigating the complexities of PhD research, leading to quality thesis completion and strong recommendations for future academic or industry roles.
Engage in Interdisciplinary Literature Review- (undefined)
Beyond your core specialization, explore related fields to identify potential interdisciplinary research gaps. For AI/DS, look into applications in Medical Engineering; for Design, consider its impact on agricultural tech. This broadens your perspective and informs novel research questions.
Tools & Resources
Scopus, Web of Science, Google Scholar, ResearchGate, DMIMS Digital Library
Career Connection
Develops a versatile research profile, making you attractive to diverse R&D teams and academic departments that value interdisciplinary problem-solving.
Intermediate Stage
Publish in Reputable Journals and Conferences- (undefined)
Aim to publish your preliminary research findings and literature reviews in peer-reviewed national and international journals/conferences. Attend relevant conferences to present your work, receive feedback, and network with researchers in your field.
Tools & Resources
UGC CARE List, Scopus indexed journals, IEEE/ACM conferences (for CS/AI), Elsevier/Springer publications
Career Connection
Building a strong publication record is essential for academic promotions, securing post-doctoral positions, and enhancing credibility in industry R&D.
Develop Advanced Technical and Analytical Skills- (undefined)
Invest time in mastering advanced tools and techniques relevant to your specialization. For AI/ML, this includes deep learning frameworks (TensorFlow, PyTorch); for Design, advanced CAD/simulation software; for Medical Engineering, bio-instrumentation skills. Participate in advanced workshops.
Tools & Resources
NVIDIA DLI workshops, Open-source ML frameworks, MATLAB/Simulink, Specialized lab equipment at DMIMS
Career Connection
Acquiring specialized, hands-on skills makes you highly employable in cutting-edge R&D roles in industries like IT, healthcare, and advanced manufacturing.
Participate in Grant Writing and Project Proposals- (undefined)
Collaborate with your supervisor on preparing research grant proposals for funding agencies (e.g., DST, SERB, ICMR, DBT in India). Understand the grant application process, budget planning, and project management. This provides invaluable practical experience.
Tools & Resources
DMIMS Research Cell, DST/SERB/ICMR guidelines and calls for proposals, Mentor guidance
Career Connection
Essential for aspiring academics and R&D leaders, as securing funding is a key component of research independence and career progression.
Advanced Stage
Innovate and Pursue Patenting Opportunities- (undefined)
Actively look for novel contributions in your research that have commercial or societal potential. Work with the institution''''s Intellectual Property (IP) cell to explore patenting opportunities for your innovative ideas or prototypes, safeguarding your research outcomes.
Tools & Resources
DMIMS IP Cell, Patent databases (e.g., Indian Patent Office, USPTO), IP law workshops
Career Connection
Demonstrates innovative thinking and commercial acumen, highly valued by industries for product development and by universities for technology transfer and societal impact.
Network Extensively and Seek Collaborations- (undefined)
Attend national/international conferences, seminars, and workshops to expand your professional network. Initiate collaborations with researchers from other institutions or industry experts, leading to joint publications, projects, and diverse perspectives for your research.
Tools & Resources
LinkedIn, ResearchGate, Professional body memberships (IEEE, ACM, IEI), Conference networking events
Career Connection
A strong network opens doors to post-doctoral opportunities, industry partnerships, and academic positions, facilitating long-term career growth and impact.
Prepare for Thesis Defense and Career Transition- (undefined)
Systematically organize your research work, write a comprehensive thesis, and prepare rigorously for your viva-voce defense. Simultaneously, develop a clear career plan, prepare a strong CV/resume, and practice interview skills for academic or industrial roles.
Tools & Resources
DMIMS Thesis Guidelines, Mock viva sessions, Career counseling services, Professional resume builders, Interview preparation guides
Career Connection
Ensures a smooth transition from Ph.D. candidacy to a successful career in academia, industry, or entrepreneurship, maximizing your research investment.
Program Structure and Curriculum
Eligibility:
- Master''''s degree in Engineering/Technology or a relevant discipline with a minimum of 55% aggregate marks (or equivalent grade as per UGC norms). Candidates must also qualify in the DMIMS Ph.D. Entrance Test (PET) and subsequent interview, or be NET/SET/GATE/GPAT qualified as per UGC guidelines.
Duration: Minimum 3 years, Maximum 6 years (Full-time)
Credits: Minimum 12 credits (for coursework component) Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PHDENGRM01 | Research Methodology | Core | 4 | Fundamentals of Research, Research Design and Problem Formulation, Data Collection Techniques and Sampling, Statistical Analysis for Research, Research Ethics and Academic Integrity, Scientific Report Writing and Presentation |
| PHDENGAS02 | Advanced Topics in Engineering / Cognate Subject (Specialization Specific) | Core/Elective | 4 | Advanced Concepts in Chosen Engineering Discipline, Current Research Trends in AI/Data Science/ML, Emerging Technologies in Computer Science, Modern Design Methodologies and Principles, Bio-instrumentation and Medical Imaging in Medical Engineering, Sustainable Systems in Agricultural Engineering |
| PHDENGEL03 | Literature Review and Seminar / Advanced Elective | Elective | 4 | Identification of Research Gaps, Systematic Literature Review Process, Academic Writing and Publication Ethics, Effective Scientific Presentation Skills, Critical Analysis of Scholarly Articles, Intellectual Property Rights and Patenting |
