Course Objective: The course is aimed at providing the graduate students with an understanding of marketing research. The course objective is to teach “information gathering activity” that is intended to guide strategic or operational marketing decisions about target markets, competitive strategies, product, price, place (distribution) or promotion. Another objective of this course is to discuss the nature and scope of marketing research and explain its role in decision support systems. The students will understand the nature and scope of marketing research and its role in designing and implementing successful marketing programs.

This course aims at exploring the use of quantitative analysis as an approach to economic analysis. It will provide students with an understanding of how economic relationships can be expressed in mathematical models by introducing the most important mathematical techniques used in modern economics and how to solve them. The emphasis in this course will be on the interrelationship of mathematics and economics on the theoretical level with some applications. The topics covered will deal with advanced microeconomic issues.

The primary aim of the course is to develop the ability of students to think like an economist and apply it to both problems of economics and finance. The student will learn how to use the basic concepts such as opportunity cost, rational choice, individual preferences, and scarcity and marginal costs. It also requires a thorough understanding of partial equilibrium analysis in a particular market and the strengths and weaknesses of a market economy. The course will help the students to deepen their understanding of the foundations of economic and financial theory and also motivate them to study further in the applied areas of these fields.

The course is aimed at providing the graduate students with an understanding of statistics and data analysis for managers. The course objective is to teach “the methods to be followed after collecting data for a problem to be solved”. The quality of research decisions depends to a great extent on the information available to the decision makers. Data analysis transforms raw data into information which can help in this decision making process. A manager who lacks the analytic skills to obtain insights from the available data is very much like a general manager who does not know how to read the income statement for his/her company.