UNIVERSITY OF MANAGEMENT AND TECHNOLOGY

Department of Quantitative Methods

Introduction

Welcome to the department of Quantitative Methods. This department supports the UMT’s mission through a diverse group of active researchers and teacher cum scholars. It is housed, administratively, in School of Business & Economics which is responsible for empartiung knowledge and skills regarding business management and administration.

Department  of Quantitative Methods is responsible within the university for the development of Quantitative Methods which are inter alia, the discipline variously known as Statistics (and all Sub-disciplines such as Biostatistics Biometrics, Econometrics, Technimetrics, Scientometrics) Operations Research. Decision Sciences, Financial Engineering and Quality Management, and for application of the Quantitative Methods in all areas of human endeavor.

Mission

We aspire to become one of the world’s prestigious institutions involved in identifying catalyzing and fostering high-impact cross-disciplinary research involving the Quantitative Methods

We aspire to become one of the world’s prestigious institutions involved in identifying catalyzing and fostering high-impact cross-disciplinary research involving the Quantitative Methods

Knowledge Scope

The Quantitative Methods area covers the body of knowledge for Business Mathematics, Business Statistics, and Empirical Business Modeling. And these are three functional areas, where the department provides teaching and research facilities at undergraduate, graduate, and post graduate levels. 

  • Business Mathematics attempts not only to refresh the participant’s knowledge about arithmetical and mathematical techniques but also sharpen their skills to apply these techniques to solve intricate problems in the field of Business.
  • Business Statistics introduces the subject of Statistics with respect to its applications in the domain of Business. It enables participants not only to vocabularize the business data but also assists in making business forecasting and decisions in a totally uncertain environment.
  • Empirical Business Modeling techniques introduce mathematical and statistical modeling for business optimization and better understanding of the inherent structure of the business. It enables participants to use existing numerical data to optimize the use of scarce resources, both human and physical. It also assists in cognizing the change which helps in better controlling the whole business process.



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