Fellow Programme in Management

What is FPM?

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Quant meths


The Production and Quantitative Methods (P&QM) area offers courses on operations management, operations research, and statistics. Doctoral students in the area are required to be proficient in all the three areas while developing advanced level skills at least one of the three. The area offers doctoral level courses in mathematical programming, statistics, stochastic processes, operations management, technology management, modelling, and contemporary manufacturing methods and techniques. 

Faculty research interests in operations management are on strategic or operational issues related to manufacturing and service planning, supply chain coordination, shop floor scheduling and improving productivity of plant operations, design of operations, technological change and innovation, R&D capabilities, economics of flexible operations, process planning, etc. In operations research faculty interests include linear and integer programming, large scale optimization, combinatorial optimization, revenue management and network optimization. Interest in this area is both in modeling as well as in development of algorithms and heuristics for such problems. Typical application areas for research include finance, logistics, and the process industry. Faculty research interests in statistics are modeling discrete and financial data, survey sampling, finite population inference, biostatistics, longitudinal and survival analysis, Bayesian inference, reliability analysis, time series analysis,statistical genetics, directional statistics, functional data analysis and stochasitc processes.

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Additional Eligibility Criteria

Production & Quantitative Methods: Common Admission Test (CAT) of the Indian Institutes of Management / UGC JRF in mathematical sciences / GRE / GMAT / GATE

Area-Specific Courses*:

Advanced Probability in Management

System Analysis and Simulation

Mathematical Programming

Seminar in Operations Management I and II

Queuing Models

Applied Multivariate Analysis

Applied Multivariate Analysis for Qualitative Dependent Variable

Modeling for Management Decision Making

Time Series Analysis

 Real Analysis

Stochastic Processes 

Applied Statistical Inference

Revenue Management and Dynamic Pricing

Large-scale Optimization

*The list is indicative. Courses offered may vary from year to year   

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