Other options

If you study Economics BSc at XJTLU you can choose from these options to study at the University of Liverpool on the XJTLU 2+2 programme.

Study   ›  Undergraduate courses  ›   XJTLU 2+2

Economics BSc (Hons): XJTLU 2+2 programme

Course details

Taught by academic staff with an abundance of professional industry experience who utilise the latest economic thinking, this programme will help you develop a high level quantitative and analytical skills in any of our three pathways: Economics, Finance or Data and Econometrics.

It is an exciting time to join us, our Economics programmes are ranked 11th from 71 providers (a rise of 7 places on last year) for Times Good University Guide 2025. We are now in the top 10 in the 2025 Guardian University Guide and we outperformed the sector benchmarks for all 7 question themes in NSS 2024.

*based on subject area.

Course overview

Studying Economics at Liverpool will enable you to build a thorough understanding of current economic and financial issues. Our programme will help you develop a high level quantitative and analytical skills in any of our pathways: Economics, Finance or Data and Econometrics.

You will build a strong foundation in economics, statistics and mathematics and upon successful completion of your final year you will have a thorough understanding of a wide range of theoretical tools used in economics and where applicable, in finance.

What you’ll learn

  • Develop economic thought
  • Gain professional skills and employment preparation
  • Understand economic and business statistics
  • Mathematical economics
  • Financial risk management
  • Principles of microeconomics and macroeconomics
  • Econometrics
  • Financial accounting.

Accreditation

The University of Liverpool Management School holds accreditation from AACSB, AMBA and EQUIS. This makes it one of an elite group of institutions worldwide to hold the gold standard triple accreditation.

Our Economics course is accredited by the Institute of Chartered Accountants in England and Wales (ICAEW), the Association of Chartered Certified Accountants (ACCA) and the Chartered Institute of Management Accountants (CIMA).

Accreditations in detail

Teaching Excellence Framework 2023

We’re proud to announce we’ve been awarded a Gold rating for educational excellence.

Accreditations

The University of Liverpool Management School holds accreditation from AACSB, AMBA and EQUIS. This makes it one of an elite group of institutions worldwide to hold the gold standard triple accreditation.

Our Economics course is accredited by the Institute of Chartered Accountants in England and Wales (ICAEW), the Association of Chartered Certified Accountants (ACCA) and the Chartered Institute of Management Accountants (CIMA).

Fees and funding

Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support.

Tuition fees

All XJTLU 2+2 students receive a partnership discount of 10% on the standard fees for international students. We also offer 50 XJTLU Excellence Scholarships providing a 25% discount on tuition fees to the students that score most highly in stage 2 at XJTLU across the different subject areas. Allocation is based on the number of applications received per programme.

The net fees (inclusive of the discounts) can be seen below.

XJTLU 2+2 fees
2025 tuition fee (full) £25,000
2025 tuition fee for XJTLU 2+2 students (inclusive of 10% discount) £22,500
2025 tuition fee for XJTLU 2+2 students qualifying for Excellence Scholarship (inclusive of 25% discount) £18,750
Fees stated are for the 2025-26 academic year.

Course content and modules

Year two

In your second year of study, you will build upon your studies at XJTLU and be introduced to the study of econometrics, a key area for anybody working in economics or planning to study economics at postgraduate level. Further modules will be based on your pathway.

On the 2+2 programme, you’ll study your third and fourth years at the University of Liverpool. These will be year two and year three of the University of Liverpool’s programme of study.

On the 2+2 programme, you'll study your third and fourth years at the University of Liverpool. These will be year two and year three of the University of Liverpool's programme of study.

Programme details and modules listed are illustrative only and subject to change.

Compulsory

Econometrics 1 (ECON212)

Credits: 15 / Semester: semester 1

Econometrics is a branch of economics aimed at providing rigorous statistical techniques to test, empirically, the validity of economic hypotheses and economic models using data from the real world. Therefore, this module provides students with opportunities to develop and further strengthen important, but crucially transferable, advanced academic skills in economics, mathematics, statistics and computing, which can be used in a variety of different contexts such as applied economics and finance research. These skills are very useful and in high demand by graduate employers. A key feature of this module is the combination of rigorous theoretical foundation of OLS with hands-on applications using a relevant analytical software package (for example, EViews or STATA) and economic data.

Macroeconomics 1 (ECON223)

Credits: 15 / Semester: semester 1

The module provides training in the principal methodologies, theories and techniques of modern macroeconomic analysis. It is designed to introduce classic macroeconomic issues such as growth, inflation, unemployment, interest rates, exchange rates, technological progress, and budget deficits. The course will provide a unified framework to address these issues and to study the impact of different policies, such as monetary and fiscal policies, on the aggregate behaviour of individuals. These analytical tools will be used to understand the recent experience of the United States and other countries and to address how current policy initiatives affect their macroeconomic performance.

Microeconomics 1 (ECON221)

Credits: 15 / Semester: semester 1

Introduction to the functions of individual decision-makers, both consumers and producers. Students will learn the major principles of microeconomics including consumer theory, producer theory, and general equilibrium. Perhaps more importantly, students will also learn how to apply these principles to a wide variety of real world situations in both personal and professional lives.

Analysis of Big Data: Programming, Data Management & Visualisation (ECON215)

Credits: 15 / Semester: semester 1

The scale of data available to analysts and researchers has increased rapidly over the past two decades. There are more careers available where analysing data is central, and there is generally an increasing demand within economics related careers for familiarity with programming languages such as Python and SQL, in order to perform more sophisticated tasks with data or to work with large data sets.
This module aims to help students develop these relatively challenging higher-level data and computing skills, particularly skills for managing data sets and producing useful visualisations with data. The module will draw on earlier quantitative/mathematical modules in the BSc Economics and on the concurrent module ECON212.

The module is for students who would like to perform data management tasks, create visualisations of data (graphs, charts, etc), and learn to analyse data, using the Python programming language. Unlike ECON212, ECON213, ECON311 and ECON312, this is not a module on econometric or statistical methodology – the focus is on developing a specific set of computing skills that will be useful for those who wish to pursue data-intensive careers or postgraduate research degrees after graduation from the BSc Economics.

Though the lectures and lab sessions centre around one particular textbook, participants on the module are expected use the vast amount of internet resources freely available for learning Python and SQL, and to spend time modifying code examples in order to gain competency with the facilities for data management, data visualisation, and data analysis. The module is assessed with a 2-week Python coursework project at the end of the module, where students will need to use the competency that they have gradually acquired over the course of the semester, and also with a timed written exam (Python and SQL).

Econometrics 2 (ECON213)

Credits: 15 / Semester: semester 2

The aims of this module are to build on ECON212 by extending the treatment of regression to the multiple regression model and to develop practical research skills which would be expected from a graduate in Economics either as a foundation for postgraduate study or for work as a professional economist recruited at graduate level.

Macroeconomics 2 (ECON224)

Credits: 15 / Semester: semester 2

The aim of this module is to further extend the study of macroeconomics at intermediate level. The module follows a modern approach to macroeconomics by building macroeconomic models from microeconomic principles.
On completion of this module, students should be able to: 1) examine macroeconomic data and analyse macroeconomic events; 2) critically evaluate macroeconomic models, 3) build and solve micro-founded macroeconomic models; 4) explain the implications of shocks and evaluate the effects of fiscal and monetary policies using macroeconomic models.

Microeconomics 2 (ECON222)

Credits: 15 / Semester: semester 2

This module aims to introduce students to three topics in microeconomic theory: game theory, asymmetric information and welfare economics.

Mathematical Economics 2 (ECON211)

Credits: 15 / Semester: semester 2

The aim of this module is to introduce students to the use of mathematical models in the study of Economics. This module builds on the material of the first year Mathematics and Economics modules and will deepen students’ knowledge of mathematical techniques involved in Microeconomics and game theory. At the end of this course, students will have: A1. More advanced mathematical skills A2. Know how to use models to solve some economic problems using matrix and optimization.

Optional

Analysis of Big Data: Programming, Data Management & Visualisation (ECON215)

Credits: 15 / Semester: semester 1

The scale of data available to analysts and researchers has increased rapidly over the past two decades. There are more careers available where analysing data is central, and there is generally an increasing demand within economics related careers for familiarity with programming languages such as Python and SQL, in order to perform more sophisticated tasks with data or to work with large data sets.
This module aims to help students develop these relatively challenging higher-level data and computing skills, particularly skills for managing data sets and producing useful visualisations with data. The module will draw on earlier quantitative/mathematical modules in the BSc Economics and on the concurrent module ECON212.

The module is for students who would like to perform data management tasks, create visualisations of data (graphs, charts, etc), and learn to analyse data, using the Python programming language. Unlike ECON212, ECON213, ECON311 and ECON312, this is not a module on econometric or statistical methodology – the focus is on developing a specific set of computing skills that will be useful for those who wish to pursue data-intensive careers or postgraduate research degrees after graduation from the BSc Economics.

Though the lectures and lab sessions centre around one particular textbook, participants on the module are expected use the vast amount of internet resources freely available for learning Python and SQL, and to spend time modifying code examples in order to gain competency with the facilities for data management, data visualisation, and data analysis. The module is assessed with a 2-week Python coursework project at the end of the module, where students will need to use the competency that they have gradually acquired over the course of the semester, and also with a timed written exam (Python and SQL).

Behavioural Economics (ECON251)

Credits: 15 / Semester: semester 2

An optional module addressing the interaction of Economic Theory with Psychology and investigating the way in which psychological findings can inform economics. This module will be useful in preparation for third year modules in Behavioural Finance and in the Economics of Arts and Culture.

Mathematical Economics 2 (ECON211)

Credits: 15 / Semester: semester 2

The aim of this module is to introduce students to the use of mathematical models in the study of Economics. This module builds on the material of the first year Mathematics and Economics modules and will deepen students’ knowledge of mathematical techniques involved in Microeconomics and game theory. At the end of this course, students will have: A1. More advanced mathematical skills A2. Know how to use models to solve some economic problems using matrix and optimization.

Securities Markets (ECON241)

Credits: 15 / Semester: semester 2

This module seeks to provide students with an understanding of the role of securities markets in the global economy. This will be achieved through a presentation of their basic mechanisms and technical features, an explanation of the valuation of certain financial assets and an assessment of the operational and allocative efficiency of the markets. The module will be delivered via weekly small group face to face sessions and through weekly online lectures delivered asynchronously. Students will be directed to various media resources relevant to their day to day following and awareness of the activities of the global financial markets.

Economics of Diversity & Inclusion (ECON217)

Credits: 15 / Semester: semester 1

This module provides a thorough introduction to the economics of diversity and inclusion. In this module, we will explore how diversity and inclusion promote economic growth within a firm and in the broader economy. While many disciplines treat diversity as a qualitative issue, this module will use the theoretical and empirical tools developed by economists to examine the impact of diversity and inclusion. A key facet of this module will be examining the barriers that exist within firms and society to fostering inclusion for different groups. By combining theory with empirical techniques and results, students will learn how to critically examine data, participate in economic debates, and analyse policy.

Financial Management (ACFI204)

Credits: 15 / Semester: semester 1

The module aims to introduce students to the modern theory of finance and financial management. Theoretical concepts like the net present value, decision making under uncertainty, portfolio selection and the capital asset pricing model are introduced. These concepts serve as prerequisites for investment and financing decisions which are exemplified by an analysis of valuation of firms, capital structure decisions and dividend policy. More specifically, the topics covered are the value and capital budgeting, portfolio theory, models of security valuation, efficient markets, long-term financing, company dividend decisions, capital structure, and interactions of investment and financing decisions. In all cases contemporary examples will be used to make theory come to life.

Your experience

Day-to-day teaching will take place in the University of Liverpool Management School; a world leading centre for management and leadership education and research and is one of an elite group of institutions worldwide to hold the gold standard triple accreditation. At the Management School, students have access to careers education, opportunities to work as well as excellent library and IT facilities, just one minute’s walk away.

Virtual tour

Supporting your learning

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What students say...

You can be inspired by professors and lecturers from all around the world with their unique insights in their modules. The University of Liverpool also gives you a wider option in Modules choices. I chose Creative Sector Economics last semester. And I found it absolutely fascinating to learn.

, BSc (Hons) Economics