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FPM in Decision Sciences And Business Analytics at Jaipuria Institute of Management, Noida
Gautam Buddh Nagar, Uttar Pradesh
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About the Specialization
What is Decision Sciences and Business Analytics at Jaipuria Institute of Management, Noida Gautam Buddh Nagar?
This Decision Sciences and Business Analytics program at Jaipuria Institute of Management, Noida focuses on advanced analytical techniques and their strategic application in business contexts. India''''s rapidly expanding digital economy and data-driven policy-making create immense demand for skilled decision scientists. This program distinguishes itself by combining rigorous theoretical foundations with practical, industry-relevant challenges, nurturing experts capable of leading analytical transformations.
Who Should Apply?
This program is ideal for aspiring academics, researchers, and senior professionals seeking to contribute significantly to knowledge creation and innovation in decision sciences. It targets individuals with strong quantitative aptitude, typically holding a Master''''s degree in management, engineering, mathematics, statistics, or economics, who are driven to solve complex business problems using data-driven insights and advanced analytical models.
Why Choose This Course?
Graduates of this program can expect to pursue esteemed careers as faculty in top business schools, lead research and analytics divisions in Indian and multinational corporations, or work as advanced consultants. Entry-level salaries for such roles in India can range from INR 10-20 lakhs per annum, with significant growth potential. The program also prepares scholars for roles in policy analysis and contributes to thought leadership in the analytics domain.
Student Success Practices
Foundation Stage
Master Core Research Methodologies- (Coursework Phase (Semester 1-2 equivalent))
Thoroughly grasp quantitative and qualitative research methods, statistical software (R, Python, SPSS, Stata), and academic writing conventions. Actively participate in method workshops to build the essential toolkit for doctoral research.
Tools & Resources
Statistical software documentation, Online courses (Coursera, edX on research methods), Academic databases (JSTOR, Scopus, Web of Science), Jaipuria''''s library resources
Career Connection
A strong methodological foundation is critical for publishing in top-tier journals and for securing roles requiring advanced research design and analysis in academia or industry.
Engage Critically with Literature- (Coursework Phase (Semester 1-2 equivalent))
Develop habits of deep and critical reading of seminal and contemporary works in Decision Sciences and Business Analytics. Identify research gaps and potential areas for contribution early on, actively participating in doctoral seminars.
Tools & Resources
Reference managers (Zotero, Mendeley), University library access to academic journals, Google Scholar, ResearchGate
Career Connection
This practice is crucial for developing a unique research problem and contributes to thought leadership, which is essential for academic and senior research roles.
Build a Strong Peer Network- (Throughout Coursework Phase (Semester 1-2 equivalent))
Collaborate with fellow FPM scholars, discuss research ideas, and form study groups for coursework. Peer feedback and support are invaluable in navigating the doctoral journey. Attend inter-departmental research colloquiums.
Tools & Resources
Internal FPM scholar forums, Research group meetings, Academic conferences within Jaipuria or other institutions
Career Connection
Fosters future collaborations, professional relationships, and creates a vital support system for academic and research career progression, easing the doctoral journey.
Intermediate Stage
Deep Dive into Specialization and Develop Research Question- (After coursework, leading up to thesis proposal (approx. Years 2-3))
Beyond coursework, intensely explore chosen sub-areas within Decision Sciences and Business Analytics, identifying a novel and impactful research question. This involves continuous literature review and conceptualizing models.
Tools & Resources
Advanced specialized textbooks, Cutting-edge research papers, Access to specialized datasets (e.g., from industry partners if applicable), Consultation with supervisors
Career Connection
A well-defined, original research question is the cornerstone of a successful doctoral thesis and future research trajectory, attracting funding and recognition.
Hone Advanced Analytical and Programming Skills- (Continuous, especially after coursework and during research design (approx. Years 2-3))
Master advanced programming languages (Python, R for Machine Learning, deep learning frameworks like TensorFlow/PyTorch) and specialized software pertinent to Decision Sciences. Practice applying these to complex datasets.
Tools & Resources
Kaggle competitions, DataCamp, Coursera specializations, GitHub for open-source projects, Institutional subscriptions to software
Career Connection
These highly sought-after skills are critical in both academia and industry for roles involving advanced analytics, data science, and quantitative modeling, leading to high-demand positions.
Participate in Research Colloquia and Conferences- (During thesis proposal development and initial thesis work (approx. Years 2-3))
Present preliminary research findings or literature reviews in internal colloquia and then at national/international conferences. This provides crucial feedback, networking opportunities, and exposure to the broader academic community.
Tools & Resources
Call for papers from reputed conferences (e.g., IIMs'''' annual conferences, Decision Sciences Institute), Networking events, mentorship from supervisors
Career Connection
Builds academic presence, refines presentation skills, and is vital for networking and future job market visibility, establishing one''''s reputation in the field.
Advanced Stage
Focus on High-Quality Thesis Writing and Publication- (During thesis writing and submission phase (approx. Years 3-5))
Systematically structure and write the doctoral thesis, ensuring rigor, clarity, and contribution to knowledge. Simultaneously, target publishing parts of the thesis as research papers in reputable peer-reviewed journals.
Tools & Resources
Academic writing guides, English language editing services, Institutional publication support, Journal submission platforms
Career Connection
Successful publications are key performance indicators for academic recruitment and a strong differentiator in research-focused industry roles, enhancing career prospects significantly.
Prepare for Comprehensive Examination and Defense- (Prior to comprehensive exams and thesis defense (approx. Years 3-5))
Rigorously prepare for comprehensive examinations (if applicable) and the final thesis proposal defense. Practice presenting research, anticipating questions, and articulating the novelty and significance of the work.
Tools & Resources
Mock defenses, Feedback from supervisor and Academic Advisory Committee (AAC), Reviewing past comprehensive exam patterns (if available)
Career Connection
Successful defense is the final academic hurdle, validating the research and setting the stage for doctoral degree conferral and significant career advancement in academia or industry.
Actively Engage in Networking and Career Planning- (From the final year of the program through job search (approx. Years 4-7))
Network strategically with faculty, industry leaders, and potential employers. Attend job fairs, academic recruitment events, and alumni gatherings. Refine CV/resume and prepare for interviews for academic or industry positions.
Tools & Resources
LinkedIn, Professional conferences, Career services department at Jaipuria, Faculty recommendations, mock interviews
Career Connection
Proactive networking and career planning are crucial for securing desired positions post-graduation, whether in academia or high-level analytics roles in leading Indian and multinational companies.
Program Structure and Curriculum
Eligibility:
- Master’s Degree (Post Graduate) or its equivalent in any discipline with at least 60% marks or equivalent grade point average recognized by AIU/AICTE/UGC; OR Five year integrated Master’s Degree with at least 60% marks; OR Bachelor’s Degree in Engineering/Technology/Architecture/Law (Four-year program after 10+2) with at least 60% marks; OR Any professional qualification such as CA/CS/CMA with at least 50% marks along with a Bachelor’s Degree. Candidates in final year are also eligible to apply provisionally.
Duration: Minimum 4 years, Maximum 7 years (including coursework and research)
Credits: 66 Credits (for coursework phase) Credits
Assessment: Assessment pattern not specified
