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PHD in School Of Management Management Studies at National Institute of Technology Rourkela
Sundargarh, Odisha
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About the Specialization
What is School of Management / Management Studies at National Institute of Technology Rourkela Sundargarh?
This PhD program in Management at NIT Rourkela focuses on developing advanced research capabilities and theoretical depth in various management disciplines. It prepares scholars for impactful contributions to academia, industry, and policy-making within the dynamic Indian business landscape. The program emphasizes rigorous methodological training and innovative problem-solving relevant to emerging economic challenges and opportunities.
Who Should Apply?
This program is ideal for aspiring academics, seasoned professionals seeking to delve into advanced research, and those aiming for leadership roles in research and development departments. Candidates with a strong academic background in management, economics, engineering, or related social sciences, eager to contribute original knowledge to the field, will find this program highly suitable.
Why Choose This Course?
Graduates of this program can expect to pursue careers as professors, researchers, consultants, and strategic advisors in India and globally. Typical career paths include faculty positions in IIMs, IITs, and other premier institutions, or research roles in think tanks and corporate R&D. Doctoral graduates often command competitive salary packages, with significant growth potential based on research output and industry impact.
Student Success Practices
Foundation Stage
Master Research Methodology and Statistics- (Coursework Phase (typically Year 1))
Dedicate significant time to thoroughly understand core research methodologies, advanced statistical techniques, and econometric tools taught in compulsory coursework. Utilize online platforms for additional practice, engage in discussions with peers and faculty, and attend workshops on statistical software like SPSS, R, or Python to build a strong analytical foundation.
Tools & Resources
SPSS, R/Python for data analysis, Research methodology textbooks, Online statistics courses
Career Connection
A strong grasp of methodology is crucial for designing robust research, publishing in top journals, and securing research-oriented roles in academia or industry.
Identify and Refine Research Interests- (Coursework Phase (typically Year 1))
Engage actively with faculty during seminars and coursework to explore various management domains. Read extensively from top-tier journals to identify gaps in existing literature and refine your initial research questions. Discuss potential topics with your supervisor early to align with departmental expertise and feasibility, setting a clear direction for your thesis.
Tools & Resources
Scopus, Web of Science, Google Scholar, Departmental research groups
Career Connection
Early specialization and a well-defined research problem are vital for timely thesis completion and establishing your niche as a scholar.
Develop Academic Writing and Presentation Skills- (Coursework Phase (typically Year 1-2))
Practice academic writing by drafting literature reviews and short research proposals. Seek feedback from supervisors and peers. Participate in departmental seminars and conferences to hone presentation skills, effectively communicating complex research ideas to diverse audiences. Attend university-organized workshops on academic integrity and citation styles.
Tools & Resources
Grammarly, Mendeley/Zotero for referencing, NIT Rourkela Writing Centre resources, Departmental seminars
Career Connection
Effective communication is paramount for publishing research, presenting at conferences, and teaching in academia.
Intermediate Stage
Engage in Interdisciplinary Research Collaborations- (Years 2-3)
Seek opportunities to collaborate with faculty members or fellow PhD students on research projects, potentially even outside your immediate department (e.g., Computer Science for data analytics). This broadens your perspective, enhances skill sets, and leads to co-authored publications, which are highly valued in academic careers.
Tools & Resources
Inter-departmental research forums, Faculty research interest groups, Collaboration tools like Google Docs
Career Connection
Collaborative research strengthens your profile for faculty positions and exposes you to diverse research methodologies and networks.
Present Research at National and International Conferences- (Years 2-4)
Regularly submit your research work to reputable national and international conferences. Presenting provides valuable feedback from experts, allows for networking with leading scholars, and helps refine your work before journal submission. Utilize institutional funding opportunities for conference travel.
Tools & Resources
Conference databases (e.g., EasyChair, WikiCFP), NIT Rourkela travel grants, Professional associations
Career Connection
Conference presentations enhance your visibility, build a professional network, and are critical for showcasing research progress to potential employers.
Aim for High-Quality Journal Publications- (Years 2-5)
Focus on converting your research chapters into publishable journal articles. Identify target journals aligned with your research area and impact factor. Diligently address reviewer comments and learn from the peer-review process. Quality publications are the cornerstone of a successful academic career.
Tools & Resources
Journal Finder tools, Academic databases (JSTOR, Elsevier, SpringerLink), NIT Rourkela Library resources
Career Connection
Publications in peer-reviewed journals are the primary metric for academic hiring, promotions, and research grants.
Advanced Stage
Prepare for Comprehensive Viva Voce and Thesis Defense- (Years 3-6)
Methodically prepare for the comprehensive examination covering your coursework and proposed research. For the thesis defense, ensure your dissertation is meticulously written, logically structured, and rigorously defended. Practice mock vivas with your supervisor and committee members to refine your arguments and presentation.
Tools & Resources
Previous comprehensive exam questions (if available), Supervisor guidance, Departmental mock viva sessions
Career Connection
Successful completion of these milestones is essential for earning the PhD degree and demonstrating mastery of your research area.
Develop Teaching and Mentorship Skills- (Years 3-6)
Seek opportunities to assist professors in teaching undergraduate or master''''s courses, including conducting tutorials, grading assignments, and delivering guest lectures. Mentoring junior PhD students can also enhance leadership and communication skills, preparing you for future faculty roles.
Tools & Resources
Teaching assistantships, Faculty mentorship, NIT Rourkela Teaching Learning Centre
Career Connection
Practical teaching experience is highly valued for academic positions and demonstrates readiness for faculty responsibilities.
Build a Professional Network and Career Strategy- (Years 4-7)
Continuously expand your professional network by attending workshops, seminars, and interacting with visiting scholars. Actively participate in professional bodies like the Indian Academy of Management (IAM). Develop a clear career strategy, whether academic or industry-focused, and tailor your final publications and presentation skills accordingly.
Tools & Resources
LinkedIn, Professional association memberships (e.g., IAM), NIT Rourkela Career Development Centre
Career Connection
A strong network opens doors to job opportunities, collaborations, and mentorship, crucial for long-term career success.
Program Structure and Curriculum
Eligibility:
- Master''''s degree in Engineering/Technology/Science/Humanities/Social Science or equivalent in relevant discipline with a minimum CGPA of 6.5/10 or 60% marks. OR Bachelor''''s degree in Engineering/Technology or equivalent with an excellent academic record and a minimum CGPA of 8.0/10 or 75% marks. Relaxation for SC/ST/PwD candidates as per norms.
Duration: Minimum 3 years, Maximum 7 years
Credits: Minimum 12 credits (for coursework, excluding thesis work) Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MS1001 | Research Methodology and Statistical Data Analysis | Core (Compulsory) | 3 | Fundamentals of Research, Research Problem Formulation and Design, Sampling and Data Collection, Hypotheses Testing and Parametric Tests, Non-Parametric Tests and ANOVA, Regression, Factor, Discriminant, Cluster Analysis, Research Report Writing and Ethical Considerations |
| MS1002 | Advanced Research Methods | Core (Compulsory) | 3 | Qualitative Research Methods, Case Study, Grounded Theory, Ethnography, Mixed Methods Research, Data Analysis (NVivo, ATLAS.ti), Advanced Econometrics and Panel Data Analysis, Time Series Analysis, Structural Equation Modeling (SEM), Multi-Criteria Decision Making, Meta-Analysis |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MS2001 | Advanced Financial Management | Elective (Students choose a minimum of 6 credits from electives, taken flexibly within coursework phase) | 3 | Capital Structure Theories and Dividend Theories, Working Capital Management, Mergers and Acquisitions, International Financial Management, Risk Management, Behavioral Finance |
| MS2002 | Contemporary Marketing Research | Elective (Students choose a minimum of 6 credits from electives, taken flexibly within coursework phase) | 3 | Marketing Research Process, Qualitative and Quantitative Research, Survey Design and Data Collection Methods, Data Analysis Techniques, Brand Research, Consumer Behavior Research, Digital Marketing Research, Ethical Issues |
| MS2003 | Advanced Human Resource Management | Elective (Students choose a minimum of 6 credits from electives, taken flexibly within coursework phase) | 3 | Strategic HRM and HR Analytics, Talent Management and Performance Management, Compensation and Benefits, Employee Relations, International HRM, Cross-Cultural Management, HR Ethics |
| MS2004 | Operations and Supply Chain Analytics | Elective (Students choose a minimum of 6 credits from electives, taken flexibly within coursework phase) | 3 | Operations Strategy and Demand Forecasting, Inventory and Logistics Management, Supply Chain Design and Risk Management, Lean and Agile Supply Chains, Simulation, Optimization, Data Analytics in SCM |
| MS2005 | Strategic Management and Business Policy | Elective (Students choose a minimum of 6 credits from electives, taken flexibly within coursework phase) | 3 | Strategic Analysis and Strategy Formulation, Strategy Implementation and Corporate Governance, Ethics in Strategy, International Strategy, Mergers, Acquisitions, Strategic Alliances |
| MS2006 | Business Ethics and Corporate Social Responsibility | Elective (Students choose a minimum of 6 credits from electives, taken flexibly within coursework phase) | 3 | Ethical Theories and Corporate Governance, Stakeholder Management and CSR Models, Sustainability Reporting, Social Entrepreneurship, Ethical Decision Making |
| MS2007 | Management Information Systems | Elective (Students choose a minimum of 6 credits from electives, taken flexibly within coursework phase) | 3 | Information Systems Concepts and IT Infrastructure, E-Business and Decision Support Systems, Enterprise Systems (CRM, SCM), Knowledge Management, Cyber Security, AI in Business |
| MS2008 | Innovation and Entrepreneurship | Elective (Students choose a minimum of 6 credits from electives, taken flexibly within coursework phase) | 3 | Innovation Process and Types of Innovation, Creativity and Entrepreneurial Mindset, Business Plan Development and Funding Strategies, Startup Ecosystem, Intellectual Property Rights |
| MS2009 | Organization Theory and Design | Elective (Students choose a minimum of 6 credits from electives, taken flexibly within coursework phase) | 3 | Classical and Contingency Theories, Resource Dependence, Institutional Theory, Organizational Structure and Culture, Change Management, Power and Politics, Organizational Learning |
| MS2010 | Data Analytics for Business Decisions | Elective (Students choose a minimum of 6 credits from electives, taken flexibly within coursework phase) | 3 | Business Analytics Framework, Data Pre-processing and Descriptive Analytics, Predictive and Prescriptive Analytics, Machine Learning Algorithms, Data Visualization and Big Data Concepts |
