The module helps students to critically evaluate recent developments in theory and policy of development economics; confidently apply the standard growth models to analyse economic issues and behavior of government, consumers and producers. Evaluate appropriate advanced methodological approaches and their effectiveness; undertake analysis of quality of available data/evidence and judge the appropriateness of the methodologies used; evaluate economic policies and their impact on economic developments in developed as well as developing countries.
The module helps students to apply appropriate research methodologies, research design and methods, and different paradigms on which they are based; critically evaluate the range of data and information collection and analysis methods that are used within applied economics in general and their project subject specialism in particular, and make informed decisions about their relevance for different purposes; draw upon academic and practitioner literature to support and justify the selection of appropriate research question(s), research design, methods, and analysis; write a research proposal that outlines and evaluates the most appropriate research design and method(s) to investigate the chosen research question(s); structure and produce a research proposal that demonstrates a writing style appropriate to the economics discipline and to an acceptable standard of written Business English.
The module helps students to undertake advanced research in econometrics and investigate analytical, behavioral and comparative aspects; apply advanced econometric techniques and skills to better understand complex economic relationships; critically understand research issues, methodologies, and methods in economics and econometrics, combined with a knowledge of corresponding skills in planning and managing a research project, carrying out a piece of original research; debate the core policy issues in economics and argue for an informed decision making based on the empirical evidence.
The module helps students to demonstrate a deep and systematic understanding of microeconomic issues and use appropriate models and tools to examine real world issues; critically evaluate the results from both the statistics and economics point of view and propose solutions based on the economic theories and knowledge base; critically evaluate empirical evidence and link the main insights with theory. Recognize and argue for alternative approaches; debate implications of analysis and develop arguments in a coherent and professional way.
The module helps students to critically assess value of data, including big data; confidently apply principles and procedures of data analytics to data collection and analysis; identify relevant sources of information; undertake search and evaluate appropriateness of data collection techniques; apply basic data mining/machine learning techniques to build a model, and predict values for new examples; creatively visualize data and results of its analysis; work individually or in groups in a complex and uncertain environment; apply statistical techniques to discover empirical evidence for diagnostic, predictive and prescriptive analyses.
The module helps students to explain causes of macroeconomic fluctuations and idiosyncratic shocks; use analytical tools to assess the efficiency of markets and describe the various factors that might impact on efficiency; distinguish between the various forms of market failure and explain how governments might need to intervene; elaborate own ideas and arguments on current economic issues and policies and communicate their knowledge and understanding of economic issues using written, verbal and visual expression; evaluate outcomes of different policies based on practical skills gained in the module.
The purpose of the project is to test the analytical skills, motivation, the ability to organize a systematic study of a theme, time management and the presentation of a written report. The project is expected to reflect both a high order of independence in thinking and proficiency of execution of an academic task.
The module helps students to demonstrate an understanding of contemporary security analysis and valuation; and the ability to apply the techniques and skills to relevant real-world financial issues; critically evaluate processes of investment decision making in corporate entities, portfolio management tools and techniques; formulate and construct risk models of corporate and/or public entities and create tools/aids for determining, quantifying and monitoring various forms of risk in real world scenarios; analyse and critically evaluate the key concepts, processes and tools used in financial risk management.
The module helps students to analyse critical issues, methodologies, and methods in econometrics; acquire an advanced knowledge and understanding of the core policy issues in economics and an awareness of associated empirical evidence to make an informed decision-making; learn how to analyze time series data and perform in-sample and out-of-sample forecasting, conduct econometric analysis of simultaneous-equation models, and panel data; acquire knowledge and understanding of basic research skills in analytical, behavioural and comparative aspects of contemporary econometrics.
The module helps students to critically identify and key issues in international trade and apply various trade theories to analyse patterns of international trade; evaluate the appropriateness of different arguments for trade barriers (including effects of trade barriers), protectionism, and potential impact of trade liberalization and trade facilitation; assess advantages and disadvantages of trade integration and regional trade arrangements; analyse the relationships between economic growth and international trade and between international trade and economic development; assess effects of cross-border movements of capital and labor on recipient and origin countries.