Course Descriptions

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This course is designed to introduce the microeconomic theories, tools, and methods of analysis that are useful in examining economic issues related to micro-level decision-making. The course covers intermediate theories of demand and supply, theories of consumer behaviour, short-run and long-run costs and their behaviour, production in the short run and long run, and market structures and competition. At the end of the course, students will be able to explain key intermediate microeconomic theories and concepts, analyse consumer and producer behaviour using appropriate microeconomic tools, examine firm behaviour under different market structures, and apply microeconomic principles and analytical tools to business and day-to-day decision-making.

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This course is designed to introduce the macroeconomic theories, concepts, tools, and methods of analysis that are useful in understanding the behaviour and performance of an economy as a whole. The course covers macroeconomic measurement, national income and the determination of national output, economic growth and business cycles, consumption, saving and investment, aggregate demand and aggregate supply, unemployment and inflation, open-economy macroeconomics and exchange rates, and macroeconomic analysis using the Keynesian income–expenditure and IS–LM models, including the effects of fiscal and monetary policies. At the end of the course, students will be able to explain key macroeconomic concepts and relationships, analyse macroeconomic conditions and policy effects, and apply macroeconomic principles to understand developments in closed and open economies.

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This course is designed to enhance students’ personal, professional, and career development by preparing them for a successful transition from university life to the world of work. It combines experiential activities and intercultural engagement to promote physical well-being, confidence, teamwork, self-awareness, and a balanced university life. Students are introduced to career development theories, emerging local and international employment trends, job-search strategies, and approaches for identifying and utilising career opportunities. It also strengthens personal organization and life-management skills, including time management, stress and conflict management, problem-solving, decision-making, self-motivation, and personal responsibility for continuous development. At the end of the course, students will be able to apply career development and job-search strategies, demonstrate effective personal and life-management skills, work collaboratively in diverse and intercultural settings, and take responsibility for their continuous personal and professional development.

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This is an advanced course designed to analyse monetary theory and develop an understanding of the effects of changes in monetary variables on the macroeconomic system. It introduces and examines a range of monetary models, enabling students to understand how these models work and how they differ from one another. The course covers money supply, money demand, the monetary policy transmission mechanism, inflation and the optimal inflation rate, neutrality of money, monetary policy targets and rules, monetary policy in open economies, time inconsistency of monetary policy, uncertainties in monetary policy design, and monetary policy frameworks. At the end of this course, students should be able to understand and analyse monetary links in the context of the monetary policy transmission mechanism.

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This course aims to provide students with an advanced understanding of microeconomics and the analytical tools needed to examine how economic agents behave and make decisions in real-world contexts. Moving beyond the fundamentals, it explores advanced areas such as consumer behaviour, game theory, strategic pricing, market failures, and information asymmetry, which together provide insights into how consumers and firms navigate complex economic environments. Students develop the ability to think critically about how firms and individuals adapt their strategies in response to changing market conditions and incentives. By the end of the course, students will be able to critically analyse the behaviour of economic agents, apply strategic and game-theoretic reasoning to real-world market situations, evaluate the impact of market power and pricing strategies, and assess the causes and consequences of market failure and information asymmetry.

This course is designed to extend the theories, models, and methods of macroeconomic analysis introduced in the Macroeconomics course and to develop a deeper understanding of the behaviour of an economy over time. This course covers theories of economic growth, advanced open-economy macroeconomics, inflation and unemployment, expectations and economic fluctuations, and government budget deficits, public debt, and fiscal sustainability, with particular attention to their theoretical foundations, interrelationships, and macroeconomic policy implications. At the end of the course, students will be able to apply advanced macroeconomic concepts and models to analyse economic growth, macroeconomic fluctuations, open-economy developments, and macroeconomic policy issues.

This course aims to extend the discussions of Business Mathematics and Business Statistics to their applications in Economics. The course discusses the applications of mathematical methods in investigating economic theories and scrutinising economic issues. It covers applications of linear and non-linear models, differential calculus, integration, differential equations, matrix algebra, and continuous-time models. The course facilitates the formulation and derivation of key relationships in economic theory with clarity, generality, rigour, and simplicity. At the end of the course, students will be able to apply appropriate mathematical methods to formulate and analyse economic relationships, use mathematical models to investigate economic theories and issues, and interpret the results of mathematical analysis in an economic context.

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This course focuses on the application of microeconomic theory, decision science tools, and econometric methods in the firm-level decision-making process. It provides students with the knowledge and analytical skills required to make effective decisions in real-world business environments. The core content includes demand analysis, demand estimation and forecasting, advanced production and cost analysis, market analysis, and pricing practices. At the end of the course, students will be able to explain the role of economics in business decision-making, analyse the dynamic decision-making environment of a firm, and apply appropriate quantitative and qualitative decision science and econometric tools to support effective and efficient decisions aimed at achieving organisational objectives.

This applied course introduces students to the theory and practice of econometrics, with particular emphasis on estimating, evaluating, and interpreting econometric models using real-world data. It covers econometric methods for analysing the three main types of economic data, namely cross-sectional, time-series, and panel data. Key areas include simple and multiple regression analysis, model specification, hypothesis testing, diagnostic testing, and common econometric problems, together with the application of cross-sectional, time-series, and panel data models. The course also provides practical exposure to Stata and EViews for data management, model estimation, diagnostic testing, and empirical analysis. At the end of the course, students will be able to select and apply appropriate econometric methods to different types of economic data, estimate and evaluate econometric models, diagnose common econometric problems, interpret empirical findings, and draw evidence-based economic and policy conclusions.

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This course examines innovation from an economic perspective and considers its role in productivity, competitiveness, structural transformation, and long-run economic development. The course explores how knowledge is created, protected, diffused, adopted, and transformed into economic and social value, and analyses the incentives, capabilities, institutions, markets, and policies that shape innovation at the firm, industry, and national levels. Drawing on historical developments, contemporary economic theories, and evidence from both developed and developing economies, it enables students to understand the economic foundations of technological change, innovation systems, intellectual property, and innovation policy, as well as their implications for inclusive and sustainable development in an increasingly knowledge-based global economy. At the end of the course, students will be able to apply economic perspectives to analyse innovation processes, critically evaluate the factors and institutional conditions that shape innovation, and assess the implications of technological change and innovation policy for economic and social development.

This course equips students with the skills required to interpret and communicate economic data using advanced visualisation techniques. The course covers the fundamental principles of data visualisation, the application of industry-standard visualisation tools, and best practices for presenting data clearly and effectively. Students will learn to design static and interactive visualisations suited to different types of economic data and communicate complex findings to diverse audiences. The course also develops their ability to construct visual narratives that support data-driven economic analysis and decision-making. At the end of the course, students will be able to apply appropriate visualisation techniques to economic data, critically evaluate the effectiveness of different forms of data presentation, and communicate economic insights clearly and effectively to diverse audiences.

This course is designed for students who have completed an introductory course in Python programming and seek to apply their programming skills to real-world economic analysis. The course integrates computational methods with core economic theory, enabling students to solve complex economic models, simulate dynamic systems, and conduct econometric analyses. Through practical, hands-on applications, students will deepen their proficiency in Python and other relevant computational tools while developing the ability to undertake data-driven economic analysis and decision-making. At the end of the course, students will be able to apply computational methods to analyse economic problems, develop and evaluate data-driven solutions, and use appropriate programming and analytical techniques to support economic analysis and decision-making.

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This course is designed to provide students with a comprehensive understanding of project management principles and the practical competencies required to manage projects throughout their life cycle. Guided by the PMBOK® Guide, it examines key areas, including project planning, scope, scheduling, cost, quality, resources, communication, risk, procurement, and stakeholder management. The course integrates practical training in Microsoft Project and the responsible application of AI-based tools for project planning, monitoring, risk assessment, and decision-making. Through a real-world group project, students apply these concepts and techniques in practice. Upon completion, students will be able to apply appropriate project management principles and frameworks to plan, execute, monitor, and evaluate projects, make informed project decisions, and manage project activities effectively throughout the project life cycle.

This course aims to provide students with an understanding of the principles and applications of international trade and payments and their relevance to developments in the global economy. The course is divided into two parts: international trade and international payments. Part one examines the reasons for and consequences of international trade, covering the law of comparative advantage, the gains from trade, the Ricardian model, the Heckscher-Ohlin theory, standard and new trade theories, tariff and non-tariff barriers, and economic integration. Part two, international payments, focuses on the foreign exchange market, fixed and flexible exchange rates, the balance of payments and adjustment policies, international capital mobility, and international macroeconomic policy coordination. At the end of the course, students will be able to apply international economics theories to analyse trade and payment issues, critically evaluate the effects of trade and exchange rate arrangements, and assess developments in the international economic environment.

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This course integrates the theory of finance and financial institutions into economic theory with the aim of providing students with an in-depth understanding of financial markets. The course extends the analysis introduced in the Microeconomics and Macroeconomics courses, with a specific focus on financial markets. It covers the behaviour of interest rates, the risk and term structures of interest rates, theories of the term structure of interest rates, bond markets, the efficient market hypothesis, economic analysis of financial structure, and the foreign exchange market. At the end of the course, students will be able to apply microeconomic and macroeconomic perspectives to analyse financial markets, critically evaluate the factors influencing financial market behaviour, and assess developments in national and international financial markets.

This course is designed to provide students with advanced knowledge of monetary policy design and central banking practices. It examines the monetary policy implementation process with special reference to Sri Lanka. The course extends the analysis introduced in Monetary Economics, with a particular focus on the practical application of monetary theories. It covers the historical and modern roles and functions of central banks, the international monetary system, modern central bank mandates, future challenges for central banks, future central banking strategies, and central banking in a systemic crisis. At the end of the course, students will be able to analyse monetary policy design and implementation, critically evaluate central banking practices and strategies, and assess their implications for macroeconomic outcomes, with particular reference to the Sri Lankan context.

This course offers an in-depth exploration of the dynamic environment in which multinational enterprises operate. It examines the impact of globalisation, political economies, and cultural differences on international business practices. Students will critically analyse international trade theories, foreign direct investment, and the mechanics of the foreign exchange market. The course also examines global market entry strategies and the complexities of global supply chain and marketing management. At the end of the course, students will be able to analyse the global business environment, critically evaluate factors influencing international business decisions, and apply appropriate strategic perspectives to assess and manage multinational business operations.

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This course is designed to provide students with a comprehensive understanding of the political, institutional, and legal dimensions of the contemporary global order and their implications for international economic and social relations. The course covers globalisation and global politics, the rise and evolution of the modern international order, rising powers and the emerging global order, major theories of international relations, international law, the role of international organisations in world politics, refugees and forced migration, and human rights. By the end of the course, students will be able to apply relevant theoretical perspectives to analyse developments in the global order, critically evaluate the roles of states and international institutions in addressing global issues, and assess contemporary international political, legal, and humanitarian challenges.

This course is an extended analysis of microeconomics and macroeconomics with a specific focus on the labour market. The course aims to provide students with a comprehensive knowledge and understanding of the application of microeconomic and macroeconomic theories to the labour market. The areas covered in the course include labour demand, labour supply and their elasticities, frictions in the labour market, the decision between work and leisure, compensating wage differentials, investment in human capital, worker mobility, pay and productivity, unions and the labour market, gender, race and inequality in earnings, employment and unemployment, and the impact of the labour market on international trade and production sharing. At the end of the course, students will be able to apply microeconomic and macroeconomic perspectives to analyse labour market behaviour, critically evaluate factors influencing labour market outcomes, and assess the broader economic implications of changes in labour market conditions.

This course provides students with an in-depth understanding of big data analytics and its application. The course covers methods for managing, processing, analysing, and interpreting big data, including data mining and data warehousing. Particular attention is given to the application of big data analytics in economic research and business decision-making. Through practical applications, students will develop the ability to identify patterns, predict trends, generate meaningful insights, and support data-driven decisions across different economic and business contexts. At the end of the course, students will be able to apply appropriate big data analytical methods to complex datasets, critically interpret analytical results, and generate evidence-based insights to support economic research and business decision-making.

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This course aims to provide students with a comprehensive understanding of the theories, issues, and approaches relating to economic development, with particular attention to the challenges faced by developing economies. The course covers development theories, approaches, and practices, including the international-dependence revolution and contemporary models of development and underdevelopment, poverty, inequality, human capital development through education and health, agricultural transformation, rural development, indigenous and context-specific approaches to development in the Global South, and polycrisis. At the end of the course, students will be able to apply development economics perspectives to analyse development issues, critically evaluate the challenges and constraints affecting development, and assess the relevance of alternative and context-specific development strategies for the Global South.

This course introduces the principles and practices of scientific research, providing students with the knowledge and skills required to undertake rigorous empirical inquiry in economics and management. The course examines the philosophical foundations of research, the formulation of research problems and questions, literature review, conceptual and theoretical frameworks, research design, qualitative and quantitative research methods, sampling, data collection, data analysis, research ethics, and the communication of research findings. Emphasis is placed on developing critical thinking, evaluating empirical evidence, and applying appropriate research methods to address real-world economic and management issues. At the end of the course, students will be able to formulate researchable problems, critically evaluate relevant evidence, select and apply appropriate research methods, and conduct and communicate independent empirical research in economics and management.

This course aims to provide students with in-depth knowledge of commercial banking practices with special reference to branch bank operations. The course covers key areas including the functions and operations of commercial banks, the regulatory framework governing commercial banking, the role of commercial banking practices in achieving economic development, and the position of commercial banks in the global economy. The course also explores the trends reshaping the industry today, including artificial intelligence, FinTech, digital and green banking, and the evolving role of banks in the global financial system. By the end of the course, students will be able to critically analyse commercial banking practices and operations, evaluate the influence of regulatory and economic conditions on commercial banking, assess the contribution of commercial banks to economic development, and evaluate the implications of emerging technologies and industry developments for modern banking.

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This course introduces students to the economic foundations of sustainable business decision-making. It examines how market failures, environmental externalities, regulatory frameworks, sustainable production systems, climate change, circular economy practices, ESG principles, sustainable finance, and public policy influence business behaviour and development outcomes. It focuses on the role of incentives, regulation, resource allocation, risk, accountability, and investment in promoting sustainable and responsible business practices. Through applied examples, case-based discussions, and policy analysis, students will examine contemporary business and policy responses to sustainability challenges. At the end of the course, students will be able to apply economic reasoning to analyse sustainability-related business decisions, critically evaluate the effectiveness of market and policy responses to sustainability challenges, and assess the implications of sustainable business practices for economic, environmental, and social outcomes.

This course aims to enhance students’ advanced econometric modelling skills by engaging them with both cross-sectional and longitudinal data analysis. It focuses on addressing endogeneity issues in econometric models, with particular emphasis on the Instrumental Variables (IV) approach. Students will also work with panel data models, including Fixed Effects and Random Effects, as well as models for qualitative dependent variables, such as censored and truncated outcomes. The course additionally introduces Structural Equation Modelling (SEM), providing tools to analyse complex relationships among observed and latent variables. Alongside theoretical instruction, students will receive practical, hands-on training in STATA software, enabling them to implement the techniques covered and carry out their own empirical analyses. At the end of the course, students will be able to apply advanced econometric methods to analyse complex economic data, critically evaluate and address econometric modelling issues, and interpret empirical results to support rigorous economic analysis and research.

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This course aims to introduce undergraduates to the workplace and provide them with practical experience while developing the employability skills required for graduation. It is an elective course that enables students to undertake workplace training aligned with their professional interests and career aspirations. Assessment will include a viva voce examination, an independent evaluation by the workplace supervisor, and an evaluation of the student’s training records under the joint supervision of an academic supervisor and the workplace supervisor. At the end of the course, students will be able to apply knowledge from their relevant concentration area and analytical skills in a workplace setting, demonstrate appropriate professional conduct and workplace competencies, critically reflect on their practical experience, and relate workplace learning to their professional and career development.

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This course aims to introduce undergraduates to the workplace and provide them with practical experience while developing the employability skills required for graduation. It is an elective course that enables students to undertake workplace training aligned with their professional interests and career aspirations. Assessment will include a viva voce examination, an independent evaluation by the workplace supervisor, and an evaluation of the student’s training records under the joint supervision of an academic supervisor and the workplace supervisor. At the end of the course, students will be able to apply knowledge from their relevant concentration area and analytical skills in a workplace setting, demonstrate appropriate professional conduct and workplace competencies, critically reflect on their practical experience, and relate workplace learning to their professional and career development.

This applied economics course examines contemporary challenges affecting fossil fuel and renewable-energy sectors and the policy responses required at local, national, and global levels. It analyses energy demand and supply, energy pricing, energy-market failures, energy-price fluctuations, energy security, the low-carbon transition, and renewable-energy investment. The course also covers energy-sector policies, regulatory frameworks, public-private partnerships, climate finance, environmental and social safeguards, and the concept of a just energy transition. Particular attention is given to the energy challenges faced by developing economies, including Sri Lanka. Through case studies, policy analysis, project evaluation, and practical exercises, students will apply economic reasoning to contemporary energy-sector issues. At the end of the course, students will be able to analyse energy markets and sectoral challenges, critically evaluate energy policies and investment options, and assess the economic, environmental, and social implications of energy-sector decisions and transitions.

This course aims to introduce undergraduates to the workplace and provide them with practical experience while developing the employability skills required for graduation. It is an elective course that enables students to undertake workplace training aligned with their professional interests and career aspirations. Assessment will include a viva voce examination, an independent evaluation by the workplace supervisor, and an evaluation of the student’s training records under the joint supervision of an academic supervisor and the workplace supervisor. At the end of the course, students will be able to apply knowledge from their relevant concentration area and analytical skills in a workplace setting, demonstrate appropriate professional conduct and workplace competencies, critically reflect on their practical experience, and relate workplace learning to their professional and career development.

This course explores the intersection of psychology and economics, examining how psychological, cognitive, and social factors influence economic decision-making and lead behaviour to depart from the assumptions of traditional economic models. Through a re-examination of the theoretical assumptions regarding preferences, rationality, and maximisation behaviour of economic agents embedded in neoclassical economics, and drawing on cognitive psychology and decision theory, students will be introduced to key behavioural concepts, including bounded rationality, heuristics, biases, and decision-making under risk and uncertainty, and their applications to economic analysis and public policy. At the end of the course, students will be able to apply behavioural economic perspectives to analyse economic decision-making, critically evaluate departures from traditional assumptions of rational behaviour, and assess the implications of behavioural biases for economic behaviour and public policy.

This course aims to introduce undergraduates to the workplace and provide them with practical experience while developing the employability skills required for graduation. It is an elective course that enables students to undertake workplace training aligned with their professional interests and career aspirations. Assessment will include a viva voce examination, an independent evaluation by the workplace supervisor, and an evaluation of the student’s training records under the joint supervision of an academic supervisor and the workplace supervisor. At the end of the course, students will be able to apply knowledge from their relevant concentration area and analytical skills in a workplace setting, demonstrate appropriate professional conduct and workplace competencies, critically reflect on their practical experience, and relate workplace learning to their professional and career development.

This advanced course addresses some of the most important contemporary issues confronting the global economy and examines them both theoretically and empirically, with attention to their wider economic implications. The focus is on the nature of these problems, potential solutions, and their possible future dimensions and implications. The course enables students to apply economic concepts and evidence to critically analyse contemporary developments in the global economy and assess their implications. At the end of the course, students will be able to critically analyse contemporary global economic issues, evaluate alternative responses to these issues, and assess their potential future economic implications.

This advanced course is designed to equip undergraduates with the employability skills required for graduation. It is a compulsory course that provides students with practical employment experience during their period of study. The course exposes students to the operations of real organisational work environments through high-quality training in the private, public, or non-governmental sectors. This experience is intended to strengthen their professional competencies, build their confidence prior to graduation, and improve their overall employability. Students are also guided to present themselves competitively to prospective employers, including government institutions, multinational corporations, private firms, international organisations, and non-governmental organisations, in accordance with their career progression plans. At the end of the course, students will be able to apply academic knowledge and professional skills in real organisational settings, demonstrate appropriate workplace competencies and professional conduct, critically reflect on their practical experience, and relate workplace learning to their career development and future employment.

This course extends the knowledge and skills developed through Research Methodology and other courses completed during the degree programme by enabling students to undertake an independent research study in Business Economics. Students have the autonomy to select an appropriate research area and conduct a research study under the supervision of an appointed research supervisor. Through this course, students are encouraged to engage in independent learning and apply relevant theoretical, analytical, and methodological knowledge to empirical research. The objective of this compulsory course is to develop students’ capacity to undertake systematic and scientifically grounded research in Business Economics. At the end of the course, students will be able to formulate and investigate a research problem independently, apply appropriate research methods, critically evaluate empirical evidence and research findings, and communicate research outcomes in a systematic and academically rigorous manner.