Department of Statistics and Operations Research

• Statistical Inference

• Order Statistics

• Bayesian Statistics

• Design of Experiments

• Sampling

• Reliability Analysis

• Image Analysis

• Econometrics.

M.A./M.Sc. (Statistics)

For more detail, please refer to link: https://www.amucontrollerexams.com

Academic: Teaching and /or research positions such as Assistant Professor, Post Doctoral Fellow, Research Assistant, Research Associate etc.

Industrial Research: Positions available in R&D units of industry and administrative set ups

Statistical Administration: Jobs available at national and international levels in the organisations such as NSSO, CSO, ISS, UNO etc.

Entrepreneur: Statistical Consultancy, Services for conducting survey, Services to analyse the available data

The educational objectives of Ph.D. Statistics are as follows:

• To inculcate the skill of reading critically, the literature of research, that can lead to analysis and clear comprehension of the kernel of the content from the literature.

• To create ability to formulate a new research problem/question.

• To provide the advanced knowledge of Statistics that can solve their research problems/questions

• To develop the ability to present the results of the research as per the internationally recognised style of academic writing and that of oral presentation.

• To be able to conduct advanced research in the subject, independently.

The program outcomes of the Ph.D. are as follows:

• Have a solid foundation in Statistical Theory, Methodology, and application of the theories for analysis of simulated and real data sets.

• Have a holistic understanding of data collection, management, processing, analysis and interpretation. Being proficient in the use of statistical software and writing statistical code.

• Have experience in one or more application areas and work as a part of a collaborative team in analyzing real data and solving real-world problems;

• Be able to conduct research either independently or collaboratively in an area of statistics;

• Be able to teach statistical courses up to UG/PG level independently.

Mathematical Programming

Mathematical Programming in Sample Surveys

Mathematical Programming in Reliability

Multilevel Programming

Multiobjective Programming

Supply Chain Management

Fuzzy Optimization

M.A./M.Sc. (Operations Research)

For more detail, please refer to link: https://www.amucontrollerexams.com

Jobs Prospects:

Academic: Teaching and /or research positions such as Assistant Professor, Post Doctoral Fellow, Research Assistant, Research Associate etc.

Industrial Research: Positions available in R&D units of industry and administrative set ups

Statistical Administration: Jobs available at national and international levels in the organisations such as NSSO, CSO, ISS, UNO etc.

Entrepreneur: Statistical Consultancy, Services for conducting survey, Services to analyse the available data

The objective of the Ph.D. (Operations Research) program is to develop the following skills among the research scholars:

• Critical analysis of the issues faced by industry, and to think about the concepts and techniques needed to develop scientific solutions to the real life decision-making problems.

• Effective communication of the knowledge of his/her field and can draft research articles to present that knowledge.

• Application of appropriate principles and procedures to the recognition, evaluation, interpretation, and understanding of issues and problems.

• Acquiring the knowledge, skills, ethics, and independence of thoughts and actions as expected from a scholar.

After successful completion of the course, scholars will be able to:

• Formulate decision-making models appropriate for various engineering and management science applications in the areas such as Supply Chain Management, Reliability Optimization, Transportation Planning Decision Problems, and Sampling Optimization.

• Develop computational and mathematical models for real life decision-making problems that include the use of modeling tools and computational tools, as well as analytical skills to evaluate the problem.

• Derive fundamental results of mathematical or analytical nature that lead to the development of algorithms for supporting decision-making.

Develop programming codes and use optimization software like AMPL, CPLEX, Python, R, LINGO, and MINITAB for complex decision-making and optimization problems.