London School of Economics

This course is a rigorous examination of the key analytical frameworks and tools that are essential to building an effective marketing strategy. Students cover concepts including segmentation, targeting and positioning; product management and diffusion; pricing, placement and promotion; customer behavior; customer lifetime value, and marketing relationships. Students learn to apply these concepts as part of a comprehensive and sophisticated marketing strategy. They employ these elements across a variety of industries and functions, in ways that add value for consumers and extract value for businesses. 

Decision making is a central aspect of any business activity. The ability to understand how decisions are made, and to predict, guide, and improve those decisions is an invaluable part of every change maker's toolbox. In this course, students develop this ability, and they are introduced to insights from behavioral science and decision analytics and its application to management and policy making.

The course provides an analysis of the economic relationships between countries, covering both trade and monetary issues. The first half of the course deals with international trade theory and policy. Students explore important topics such as why countries trade with each other and the effect of international trade on welfare and income distribution. Students also analyze the role of firm heterogeneity in international trade and the links between globalization and inequality. The second half of the course considers international macroeconomics. Covering key topics such as the balance of payments accounts, open economy income identities, the liquidity trap, and the effect of currency valuations, students gain a comprehensive understanding of the current policy environment and its impact on international trade relations.

This course provides the basic knowledge of econometrics that is essential equipment for any serious economist or social scientist, to a level where the participant would be competent to continue with the study of the subject in a graduate program. 

This course considers the economic potential of Big Data and AI. It begins by describing the rise of Big Data and the burgeoning field of AI, and proceeds to consider the implications of these new technologies for managers and for society as a whole. With this foundation, students examine managerial decision-making using data analytics. The course provides students with an understanding of the foundational elements of data analysis and the use of statistical thinking in the context of managerial decision-making in today’s age of big data. It is important to note that the course is primarily conceptual and analytical, rather than technical, and does not cover programming techniques. The tools developed in the course are the interpretation and evaluation of data analytics, and managerial decision-making based on such analytics.