Business Economics and Data Analytics BSc (Hons) — 2027 entry

This module introduces students to core elements of economic theory which forms the basis of the Macro and Micro modules in the Semester 2 of first year. Understanding a number of concepts, like specialisation, markets, competition, rational behaviour and the structure of the economy are key learning outcomes from this module and prepare students for further study in Economics and related subjects.

This module ensures that every student acquires the basic mathematical and statistical skills necessary for their subsequent modules, irrespective of their prior education. Students will learn to solve mathematical optimisation problems, which lie at the heart of every economic model. This module will provide students with techniques for maximising real-valued functions with one variable; functions with several variables will be covered in subsequent modules. Economic applications of the mathematical techniques are emphasised throughout.

The module introduces a set of topics that are part of the contemporary economic discourse, and whose coverage supports and further expands on ECO1014’s teaching.

The recent digital revolution has led to data gathering and usage in Economics at an unprecedented scale. Public policy and business become more data-driven than ever before. This module explores the data on which economics relies and forms fundamental analytical skills. The lectures are focused on understanding the data, while the laboratory sessions are focused on examination and visualization of the data using R and MS Excel.

This module introduces students to a range of mathematical techniques and concepts required for the effective study of economics. It demonstrates the role mathematics plays in the formulation of economic theory and subsequent analysis. The module builds on the mathematics students have studied in the first term of Level 4 and gives students the mathematical tools needed for the study of economics at Level 5 and 6.

This module builds on the Introductory Economics module by extending the analyses of microeconomic concepts. In particular, it looks at the firm’s supply decision (involving cost and production), and the effect of market structure on the firm’s demand, studies labour markets and explains the constrained optimisation model of labour supply, introduces students to how to model risk and information problems, and covers aspects of welfare economics and market failure (with an application to the environment). The module uses maths from the Quantitative Methods and Maths for Economics modules to demonstrate the role maths can play in economic theory; and makes use of examples from empirical research, reports and news media to illustrate some of the concepts covered. By doing this, the module provides a firm foundation for more advanced microeconomics as the programme proceeds, and for optional modules that apply microeconomic principles.

In this module we pose the 'big' questions about the economy, study the relevant data, build models that help explain what we observe, and evaluate these models.

This module introduces students to core elements of probability and statistical inference. This enables students to begin undertaking empirical work. An emphasis in this module is on applications. The module also prepares students for further study in econometrics.

This module provides information, guidance and support for developing employability.

The module builds on the first year microeconomics modules and serves as a foundation for subsequent study of microeconomic topics within the relevant degree programs such as consumer choice and game theory. The module uses some mathematical techniques (from the Level 4 Mathematics modules) and graphical analysis.

This module provides students with the basic mechanics, both in terms of the theoretical background and the practical skills, for carrying out applied econometrics. Throughout there is an emphasis on understanding the assumptions of the methods so as to gain an appreciation of what such techniques can and cannot deliver. An important part of the course is for students to be able to use, and interpret the output of, the econometrics software package Stata. The module relies on the mathematics and statistics students have studied at Level 4, and lays the foundations for subsequent modules in econometrics at Level 5 and 6.

The module progresses naturally from the macroeconomic models already encountered in first year Principles of Macroeconomics (ECO1019) to build intra-temporal and inter-temporal macroeconomic models from microeconomic principles to explore various macro topics, such as credit market, social security, banking, inflation and economic growth, and examines how macroeconomic policy influences economic performance. It serves as a foundation for Intermediate Macroeconomics 2 (ECO2046).

This module provides an overall introduction to Business Analytics explaining methods used for descriptive, predictive, and prescriptive analytics as the main building blocks and phases of a typical business project within management and business contexts using the Python programming language. In addition to generic introduction to business analytics phases, there will be more focus on the first two phases (i.e., descriptive and predictive data analytics). The module will also include general business skills needed to run a business analytics project such as how analytics professionals communicate with decision makers by using and interpreting analytic models.

This module follows on from Introductory Econometrics and considers econometric theory and methods when Gauss Markov assumptions fail to hold. The first half of this module deals with time series and panel data. The second half introduces different examples of the endogeneity problem and their solutions. 

The module examines the processes which underlie the preparation of the financial statements of listed companies in the UK and Europe which are the main source of financial information available to external stakeholders, and the assessment of an organisation’s performance through analysis and interpretation of its financial statements.

The aim of this module is to introduce many of the important new ideas in data mining and business analytics, explain them as statistical framework, and describe some of their applications in Business Economics and Finance. Data mining is the process of mining large quantity of data to extract useful information. It involves searching through databases for potentially useful information such as knowledge rules, patterns, regularities, and other trends hidden in the data. Applications of data mining and business analytics are highly useful in today's competitive market. In this module several case studies of well-known data mining techniques are used; e.g. shopping basket analysis such as Tesco club card, credit card fraud detection, predicting stock market returns, risk analysis in banking, web analytics and social network analysis including at firms such as Meta. An understanding of business analytics and data mining concepts and techniques can offer a valuable advantage in the competition for jobs and placements. This sector remains one of just a few areas showing consistent growth in terms of job opportunities and salaries even during recession.

This module helps students develop their employability through both reflection and practice, building on the skills developed in Employability I.

The module broadly covers two parts. In the first part we concentrate on the theoretical foundations of international trade, i.e. address the questions “why do we trade” and “is trade good for us”. In the second part we focus on the policy instruments that are available to the designers of trade policy; our analysis involves issues related to the potential costs and/or benefits to a range of stakeholders of trade barriers, e.g. tariffs and quotas. We also investigate the issues of international trade agreements.

Economics of Competition and Regulation Policy is a microeconomics course concerned with the performance of markets and the strategic behaviour of firms. The course draws on the fields of industrial organization and market design and focuses on imperfect competition, co-operation between firms, and common regulations such as anti-trust laws. This is a theory-based optional module for third year BSc students. The aim of the module is to provide a solid understanding of some of the core economic models of imperfect competition and to help students understand the challenges involved with designing and structuring markets.

The module incorporates the foreign exchange market into a macroeconomic setting in order to shed light on the constraints within which open economies operate. At the heart of the analysis is the exchange rate and its determinants, including the different types of possible government intervention. In this context, the role of inflation, interest rates and market expectations are discussed. In addition, the government may also intervene in the foreign exchange market to manage the exchange rate by, e.g., buying or selling the international reserve currency. The decision whether to undertake or not such operations impacts on how the economy responds to different types of shocks (internal or external). The module covers these issues in detail and, in addition, provides a historical context for international arrangements concerning the exchange rate, as well as a review of episodes of exchange-rate crises.

This module introduces students to core elements of economic theory which forms the basis of the Macro and Micro modules in the Semester 2 of first year. Understanding a number of concepts, like specialisation, markets, competition, rational behaviour and the structure of the economy are key learning outcomes from this module and prepare students for further study in Economics and related subjects.

This module ensures that every student acquires the basic mathematical and statistical skills necessary for their subsequent modules, irrespective of their prior education. Students will learn to solve mathematical optimisation problems, which lie at the heart of every economic model. This module will provide students with techniques for maximising real-valued functions with one variable; functions with several variables will be covered in subsequent modules. Economic applications of the mathematical techniques are emphasised throughout.

The module introduces a set of topics that are part of the contemporary economic discourse, and whose coverage supports and further expands on ECO1014’s teaching.

The recent digital revolution has led to data gathering and usage in Economics at an unprecedented scale. Public policy and business become more data-driven than ever before. This module explores the data on which economics relies and forms fundamental analytical skills. The lectures are focused on understanding the data, while the laboratory sessions are focused on examination and visualization of the data using R and MS Excel.

This module introduces students to a range of mathematical techniques and concepts required for the effective study of economics. It demonstrates the role mathematics plays in the formulation of economic theory and subsequent analysis. The module builds on the mathematics students have studied in the first term of Level 4 and gives students the mathematical tools needed for the study of economics at Level 5 and 6.

This module builds on the Introductory Economics module by extending the analyses of microeconomic concepts. In particular, it looks at the firm’s supply decision (involving cost and production), and the effect of market structure on the firm’s demand, studies labour markets and explains the constrained optimisation model of labour supply, introduces students to how to model risk and information problems, and covers aspects of welfare economics and market failure (with an application to the environment). The module uses maths from the Quantitative Methods and Maths for Economics modules to demonstrate the role maths can play in economic theory; and makes use of examples from empirical research, reports and news media to illustrate some of the concepts covered. By doing this, the module provides a firm foundation for more advanced microeconomics as the programme proceeds, and for optional modules that apply microeconomic principles.

In this module we pose the 'big' questions about the economy, study the relevant data, build models that help explain what we observe, and evaluate these models.

This module introduces students to core elements of probability and statistical inference. This enables students to begin undertaking empirical work. An emphasis in this module is on applications. The module also prepares students for further study in econometrics.

This module provides information, guidance and support for developing employability.

The module builds on the first year microeconomics modules and serves as a foundation for subsequent study of microeconomic topics within the relevant degree programs such as consumer choice and game theory. The module uses some mathematical techniques (from the Level 4 Mathematics modules) and graphical analysis.

This module provides students with the basic mechanics, both in terms of the theoretical background and the practical skills, for carrying out applied econometrics. Throughout there is an emphasis on understanding the assumptions of the methods so as to gain an appreciation of what such techniques can and cannot deliver. An important part of the course is for students to be able to use, and interpret the output of, the econometrics software package Stata. The module relies on the mathematics and statistics students have studied at Level 4, and lays the foundations for subsequent modules in econometrics at Level 5 and 6.

The module progresses naturally from the macroeconomic models already encountered in first year Principles of Macroeconomics (ECO1019) to build intra-temporal and inter-temporal macroeconomic models from microeconomic principles to explore various macro topics, such as credit market, social security, banking, inflation and economic growth, and examines how macroeconomic policy influences economic performance. It serves as a foundation for Intermediate Macroeconomics 2 (ECO2046).

This module provides an overall introduction to Business Analytics explaining methods used for descriptive, predictive, and prescriptive analytics as the main building blocks and phases of a typical business project within management and business contexts using the Python programming language. In addition to generic introduction to business analytics phases, there will be more focus on the first two phases (i.e., descriptive and predictive data analytics). The module will also include general business skills needed to run a business analytics project such as how analytics professionals communicate with decision makers by using and interpreting analytic models.

This module follows on from Introductory Econometrics and considers econometric theory and methods when Gauss Markov assumptions fail to hold. The first half of this module deals with time series and panel data. The second half introduces different examples of the endogeneity problem and their solutions. 

The module examines the processes which underlie the preparation of the financial statements of listed companies in the UK and Europe which are the main source of financial information available to external stakeholders, and the assessment of an organisation’s performance through analysis and interpretation of its financial statements.

The aim of this module is to introduce many of the important new ideas in data mining and business analytics, explain them as statistical framework, and describe some of their applications in Business Economics and Finance. Data mining is the process of mining large quantity of data to extract useful information. It involves searching through databases for potentially useful information such as knowledge rules, patterns, regularities, and other trends hidden in the data. Applications of data mining and business analytics are highly useful in today's competitive market. In this module several case studies of well-known data mining techniques are used; e.g. shopping basket analysis such as Tesco club card, credit card fraud detection, predicting stock market returns, risk analysis in banking, web analytics and social network analysis including at firms such as Meta. An understanding of business analytics and data mining concepts and techniques can offer a valuable advantage in the competition for jobs and placements. This sector remains one of just a few areas showing consistent growth in terms of job opportunities and salaries even during recession.

This module helps students develop their employability through both reflection and practice, building on the skills developed in Employability I.

The module broadly covers two parts. In the first part we concentrate on the theoretical foundations of international trade, i.e. address the questions “why do we trade” and “is trade good for us”. In the second part we focus on the policy instruments that are available to the designers of trade policy; our analysis involves issues related to the potential costs and/or benefits to a range of stakeholders of trade barriers, e.g. tariffs and quotas. We also investigate the issues of international trade agreements.

Economics of Competition and Regulation Policy is a microeconomics course concerned with the performance of markets and the strategic behaviour of firms. The course draws on the fields of industrial organization and market design and focuses on imperfect competition, co-operation between firms, and common regulations such as anti-trust laws. This is a theory-based optional module for third year BSc students. The aim of the module is to provide a solid understanding of some of the core economic models of imperfect competition and to help students understand the challenges involved with designing and structuring markets.

The module incorporates the foreign exchange market into a macroeconomic setting in order to shed light on the constraints within which open economies operate. At the heart of the analysis is the exchange rate and its determinants, including the different types of possible government intervention. In this context, the role of inflation, interest rates and market expectations are discussed. In addition, the government may also intervene in the foreign exchange market to manage the exchange rate by, e.g., buying or selling the international reserve currency. The decision whether to undertake or not such operations impacts on how the economy responds to different types of shocks (internal or external). The module covers these issues in detail and, in addition, provides a historical context for international arrangements concerning the exchange rate, as well as a review of episodes of exchange-rate crises.

Students have the option to undertake a work placement, study exchange abroad, or work/study exchange combination. This module supports students' development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment in diverse global contexts. The module is concerned with Personal and Professional Development towards holistic academic and non-academic learning, and is a process that involves self-reflection, documented via the creation of a personal record, planning and monitoring progress towards the achievement of personal objectives. Development and learning may occur before and during the placement/study exchange, and this is reflected in the assessment model as a progressive process. Additionally, the module aims to enable students to evidence and evaluate their placement/study exchange experiences and transfer that learning to other situations through written and presentation skills.

The module aims to introduce the students to the core elements of microeconomic theory. The module will begin with a discussion of Economics as a science and its basic principles and concepts. The focus will then move onto the market equilibrium, i.e., the supply and demand model and the impact of government intervention in the market outcomes. Consumer theory and the theory of the firm will be studied to understand the background to the supply and demand model before turning to the welfare implications of different market structures.

A foundation level mathematics module that covers the basic mathematics relevant for Economics students. The module is designed to prepare the students for the more advanced level mathematics and problem solving in the first year of their Economics programme. The module covers a variety of economic applications in order to illustrate to the students the link between economic theory and mathematics.

Economics shapes almost everything happening in the world today ¿ from the trade wars making headlines, to the climate deals struck at international summits, to the policies that determine whether people can afford food, housing, or a decent job. This module is an introduction to global economics for students with no prior background in the subject. It is deliberately non-technical and built around the issues that matter: why some countries are rich and others poor, how international institutions like the IMF and World Bank shape what governments can do, what drives migration and conflict, and how the world might ¿ or might not ¿ address inequality and climate change. Each topic is approached through two lenses: understanding the underlying economic issues at stake, and analysing real policies that have been tried in practice. The focus is consistently international, drawing on examples from across the world rather than any single country.

In this module the students will learn about the macroeconomic environment and the theoretical and conceptual frameworks which underpin it. It is designed to prepare the students for the more advanced level macroeconomics in the first year of their Economics programme. The module will begin with the introduction of key macroeconomic topics, i.e., economic growth and business cycles, unemployment, inflation and open economy. The focus will then move onto developing a theoretical model to study and analyse the short-run macroeconomic equilibrium. The role of fiscal and monetary policy in shaping economic outcomes will also be discussed. The methodological approach will include the use of mathematical tools in solving and analysing the theoretical models. 

This module provides an introduction to the quantitative methods essential for economics. It focuses on understanding, presenting, and interpreting economic data using descriptive and graphical techniques. Students learn how economists use data to describe economic phenomena, identify patterns and trends, and make informed arguments about real-world issues. Through hands-on exercises using excel, students develop the skills to summarise datasets, calculate and interpret key measures, and visualise information clearly. By the end of the module, students will be able to approach economic questions with a structured and evidence-based mindset, ready for further study in quantitative economics.

This is a guided research module where students identify and explore in detail a topic of their choice within the fields of Economics, then write a project on their chosen subject. The overall focus of the module is on:  learning to research independently, making best use of the digital resources available through the university library drawing appropriate conclusions from analysis and investigation of text and data  Teaching inputs guide students in their choice of topic and approach, and provide them with extended opportunities to develop resourceful approaches and relevant skills.  Engaging with in-class activities and online tasks in research, reading and academic writing throughout the semester will prepare students well for discipline specific writing and research challenges at higher levels of degree study and in the workplace.

The module aims to introduce the students to the core elements of microeconomic theory. The module will begin with a discussion of Economics as a science and its basic principles and concepts. The focus will then move onto the market equilibrium, i.e., the supply and demand model and the impact of government intervention in the market outcomes. Consumer theory and the theory of the firm will be studied to understand the background to the supply and demand model before turning to the welfare implications of different market structures.

A foundation level mathematics module that covers the basic mathematics relevant for Economics students. The module is designed to prepare the students for the more advanced level mathematics and problem solving in the first year of their Economics programme. The module covers a variety of economic applications in order to illustrate to the students the link between economic theory and mathematics.

Economics shapes almost everything happening in the world today ¿ from the trade wars making headlines, to the climate deals struck at international summits, to the policies that determine whether people can afford food, housing, or a decent job. This module is an introduction to global economics for students with no prior background in the subject. It is deliberately non-technical and built around the issues that matter: why some countries are rich and others poor, how international institutions like the IMF and World Bank shape what governments can do, what drives migration and conflict, and how the world might ¿ or might not ¿ address inequality and climate change. Each topic is approached through two lenses: understanding the underlying economic issues at stake, and analysing real policies that have been tried in practice. The focus is consistently international, drawing on examples from across the world rather than any single country.

In this module the students will learn about the macroeconomic environment and the theoretical and conceptual frameworks which underpin it. It is designed to prepare the students for the more advanced level macroeconomics in the first year of their Economics programme. The module will begin with the introduction of key macroeconomic topics, i.e., economic growth and business cycles, unemployment, inflation and open economy. The focus will then move onto developing a theoretical model to study and analyse the short-run macroeconomic equilibrium. The role of fiscal and monetary policy in shaping economic outcomes will also be discussed. The methodological approach will include the use of mathematical tools in solving and analysing the theoretical models. 

This module provides an introduction to the quantitative methods essential for economics. It focuses on understanding, presenting, and interpreting economic data using descriptive and graphical techniques. Students learn how economists use data to describe economic phenomena, identify patterns and trends, and make informed arguments about real-world issues. Through hands-on exercises using excel, students develop the skills to summarise datasets, calculate and interpret key measures, and visualise information clearly. By the end of the module, students will be able to approach economic questions with a structured and evidence-based mindset, ready for further study in quantitative economics.

This is a guided research module where students identify and explore in detail a topic of their choice within the fields of Economics, then write a project on their chosen subject. The overall focus of the module is on:  learning to research independently, making best use of the digital resources available through the university library drawing appropriate conclusions from analysis and investigation of text and data  Teaching inputs guide students in their choice of topic and approach, and provide them with extended opportunities to develop resourceful approaches and relevant skills.  Engaging with in-class activities and online tasks in research, reading and academic writing throughout the semester will prepare students well for discipline specific writing and research challenges at higher levels of degree study and in the workplace.