BSc (Hons) in
Economics and its Pathways

Understand the interactions between the economy and the financial system, equipping yourself with theoretical knowledge and practical tools for success in economics, finance, and data-driven professions.

WIUT Business School

COURSE OVERVIEW

The BSc (Hons) in Economics and its Pathways course has been designed to give students an education in the key areas of the disciplines of economics, finance, and data science. The course enables students to understand the interactions between the economy and the financial system, providing an understanding of theories, tools, and techniques, fitting them to pursue a career in economics, finance, data science and other related areas. The combination of economics (major) with finance (minor) and data science (minor) provides an excellent platform for WIUT graduates to become successful in competitive job markets.

This programme is designed to prepare students for the realities of today’s fast-changing world of economics, finance, and digital innovation. The focus is not only on theory, rather on learning how to apply knowledge and skills to real challenges, from analysing financial markets to shaping economic policy.

The course allows students to tailor their learning by exploring specialist areas such as international and development economics, labour and monetary economics, environmental and energy economics, behavioural economics, banking and finance, data science, and machine learning. The result is a degree that combines rigorous academic training with practical experience, preparing them to graduate with the confidence, technical expertise, and professional insight to thrive in careers across finance, economics, data analysis, and policy, or to continue studies at the postgraduate level.

WHAT YOU NEED TO KNOW

Award Title

Bachelor of Science (Hons)

Start Date

September (each academic year)

Duration

3 years (full time)

Tuition Fees

Domestic - 36,292,800 UZS /per year

International - 54,600,000 UZS /per year

COURSE STRUCTURE

Year One (Level 4)
Year Two (Level 5)
Year Three (Level 6)
Year One (Level 4)
Year Two (Level 5)
Year Three (Level 6)
Year One (Level 4)
Year Two (Level 5)
Year Three (Level 6)

CORE MODULES

Module code:

4ECON005C

UK credit value:

20 credits

Semester:

Yearlong

Module leader:

Zohid Askarov / Jamshid Normatov

The first part of the module addresses microeconomic issues. The second part of the module covers issues related to the macroeconomics area, which studies the economy as a whole, including output and economic growth, inflation and unemployment, and the effects of monetary and fiscal policy. This module introduces the basic elements of the Keynesian model and addresses the main differences between the Keynesian and Monetarists’ views with respect to the role of money in the economy. It also demonstrates the relationship between inflation and unemployment, and the policy tools that might be used by governments in dealing with each policy problem.

Assessment: Semester 1 and 2 exams primarily test the ability of students to formulate a given set of information in the context of basic microeconomic models, solve basic quantitative problems of economic models, and distinguish between different theoretical approaches. The group report and presentation that the students will have to complete in Semester 2 will cover microeconomics and/or macroeconomics topics.

PLUS ONE OPTION OR ONE ELECTIVE

Module code:

4ECON011C

UK credit value:

20 credits

Semester:

Second semester

Module leader:

Farrukh Ataev

This module will enable students to analyse economic and business decisions using basic mathematical tools. Emphasis will be placed on the application of mathematical tools to solve selected economic and business problems. Students will need to know how to solve economic problems by mathematics. By the end of the module, a student should know the principal methods of optimisation, financial mathematics, dynamic analysis of economic processes, and fundamental concepts of integration and differential equations.

Assessment: There are two types of summative assessment used in this module: an in-class test and an exam. There are also homework tasks which serve as formative assessment and are designed to provide constant feedback to students on their progress.

Any module from the WIUT Catalogue of Elective modules

Award of Certificate of Higher Education available

CORE MODULES

Module code:

5ECON010C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Muhammad Bilal

The microeconomics module builds on the conceptual foundations of microeconomics at level 4, Exploring Economics. The module covers the conceptual tools and underlying framework necessary to demonstrate the importance of economic analysis in understanding the organisation, whether it be in the public or private sector, and to illustrate that economists often offer different interpretations about the behaviour of firms and that this has implications for public policy. This part of the module explores further fundamental decisions made by economic agents such as consumers, producers, and suppliers regarding production factors.

Assessment: Students will be assigned group coursework. The coursework will be designed to involve critical thinking regarding economic modelling, the consideration of important microeconomic variables, the use of real-world data, and a group presentation. The second assessment, examination primarily tests the ability of students to formulate a given set of information in the context of microeconomic models and to distinguish between different theoretical approaches.

ECONOMICS OPTIONAL MODULES:

Module code:

5ECON016C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Ahliddin Malikov

This module provides the basic knowledge on the subject of political economy, its historical substance, method of inquiry, scope, and finally its similarities and differences with conventional economics. The focus of the study will be upon the critical examination, analysis, dialectical interpretation, and explanation of the contemporary capitalist economy, polity, and society. The module also explores the interaction between politics and markets, both in theory and in practice.

Assessment: The module will be assessed by a group coursework with a presentation and an examination. The coursework consists of an assignment that tests students’ grasp of key concepts and issues in political economy. The examination will provide an opportunity for students to demonstrate their ability to utilise economic reasoning and data in answering a wide range of questions under a time constraint.

FINANCE OPTIONAL MODULES:

Module code:

5ECON020C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Murodullo Bazarov

The module examines the fundamentals of money, banking, and financial markets, analysing the role of financial institutions in the modern economy. It covers the core functions of commercial, investment, and central banks, including their risk management practices and regulatory frameworks. The module explores monetary policy implementation, financial crisis management, and how banking practices are evolving in response to technological changes and sustainability considerations. Through this comprehensive overview, students gain an understanding of both traditional banking operations and contemporary developments in financial markets.

Assessment: The assessment consists of individual coursework and a case scenario. Individual coursework will assess students’ understanding of key concepts within the domain of Money and Banking, conducting comparative research and analysis of real-world monetary policy implementations, considering economic contexts and outcomes. The case study will be a submission in the form of a written report within a constrained time, based on cases that will be provided to the students along with the assignment, and as such, it is designed to train students to apply their knowledge through dealing with a range of issues within a limited time.

*Please note that overall, you should select 2 options, which should contain one Economics option module and one Finance option module.

Award of Diploma of Higher Education available

CORE MODULES

Module code:

6ECON034C

UK credit value:

20 credits

Semester:

First Semester

Module leader:

Zukhriddin Juliev

This is an advanced undergraduate module on the digital economy. The goal is to introduce the fundamentals of the digital economy and provide frequently observed models. The course uses a combination of theoretical modelling and empirical evidence to achieve those goals. We analyse some key features that are prevalent in digital markets, including price discrimination, network effects, multi-sided platforms and the use of data. We also zoom in on individual markets, such as e-commerce, media platforms, and Big Data Economics.

Assessment: The module will be assessed by group coursework and an examination. Assessment 1 is a group coursework that will enable students to understand a specific model within a specific business case study in terms of efficiency gains and risks posed within current digitised markets. Assessment 2 is an examination that will provide a more general assessment of students’ ability to analyse and discuss key concepts and issues of digital economics discussed in the lecture series.

ECONOMICS OPTIONAL MODULES

Module code:

6ECON015C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Ahliddin Malikov

The module delves into advanced econometric techniques, equipping students with the skills to analyse complex economic and financial data and apply their findings in decision-making processes. The course covers a wide range of topics, including model selection, limited dependent variables, dynamic models, simultaneous equations, and time-series econometrics. This module aims to provide students with the tools and skills necessary to conduct independent research and make informed decisions in various economic and financial contexts.

Assessment: The first assessment is an in-module lab test that provides an assessment of students’ grasp of the econometrics concepts and ability to deal with economic data. The examination primarily tests the ability of students to formulate a given set of information in the context of microeconomic and macroeconomic models, and to distinguish between different theoretical approaches. In the examination, students will be expected to write under time constraints and to show an understanding of econometrics topics discussed in the second half of the module.

FINANCE OPTIONAL MODULES

Module code:

6ECON037C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Dr. Gulomjon Kosimjonov

The application of data science in finance is crucial in the present modern world, where an unprecedented volume of data is easily available. The industry has diverse and complex information, ranging from market trends to individual transaction histories. Data science provides a systematic framework for extracting meaningful insights, mitigating risks, and optimising decision-making processes. Analytics tools and machine learning algorithms help users to identify the patterns, correlations, and anomalies within the datasets, empowering them to make well-informed predictions and strategic choices. The efficient application of data science in the finance industry may foster precision, efficiency, and adaptability, thereby enhancing the overall financial performance and resilience.

Assessment: There are two components of assessment: an in-class lab test and a group coursework with a presentation.

*Please note that overall, you should select 2 options, which should contain one Economics option module and one Finance option module.

Award BSc / BSc (Hons) available

CORE MODULES

Module code:

4ECON005C

UK credit value:

20 credits

Semester:

Yearlong

Module leader:

Zohid Askarov / Jamshid Normatov

The first part of the module addresses microeconomic issues. The second part of the module covers issues related to the macroeconomics area, which studies the economy as a whole, including output and economic growth, inflation and unemployment, and the effects of monetary and fiscal policy. This module introduces the basic elements of the Keynesian model and addresses the main differences between the Keynesian and Monetarists’ views with respect to the role of money in the economy. It also demonstrates the relationship between inflation and unemployment, and the policy tools that might be used by governments in dealing with each policy problem.

Assessment: Semester 1 and 2 exams primarily test the ability of students to formulate a given set of information in the context of basic microeconomic models, solve basic quantitative problems of economic models, and distinguish between different theoretical approaches. The group report and presentation that the students will have to complete in Semester 2 will cover microeconomics and/or macroeconomics topics.

PLUS ONE OPTION OR ONE ELECTIVE

Module code:

4ECON011C

UK credit value:

20 credits

Semester:

Second semester

Module leader:

Farrukh Ataev

This module will enable students to analyse economic and business decisions using basic mathematical tools. Emphasis will be placed on the application of mathematical tools to solve selected economic and business problems. Students will need to know how to solve economic problems by mathematics. By the end of the module, a student should know the principal methods of optimisation, financial mathematics, dynamic analysis of economic processes, and fundamental concepts of integration and differential equations.

Assessment: There are two types of summative assessment used in this module: an in-class test and an exam. There are also homework tasks which serve as formative assessment and are designed to provide constant feedback to students on their progress.

Any module from the WIUT Catalogue of Elective modules

Award of Certificate of Higher Education available

CORE MODULES (AY 2025-2026 only)

Module code:

5COSC037C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Dr.Hamid Reza Khosravani

The module introduces the basics of programming – variables, data types, conditional branching, loops, collections, and functions. Emphasis is placed on practical experience with a modern programming language.

Assessment: The module will be assessed through a computer-based PC Lab test and a practical project. PC lab test will focus on basic programming concepts like variables, flow-control statements, and loops. The second assessment component is a practical project requiring students to develop a more sophisticated software solution using classes, properties and functions.

ECONOMICS OPTIONAL MODULES

Module code:

5ECON016C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Ahliddin Malikov

This module provides the basic knowledge on the subject of political economy, its historical substance, method of inquiry, scope, and finally its similarities and differences with conventional economics. The focus of the study will be upon the critical examination, analysis, dialectical interpretation, and explanation of the contemporary capitalist economy, polity, and society. The module also explores the interaction between politics and markets, both in theory and in practice.

Assessment: The module will be assessed by a group coursework with a presentation and an examination. The coursework consists of an assignment that tests students’ grasp of key concepts and issues in political economy. The examination will provide an opportunity for students to demonstrate their ability to utilise economic reasoning and data in answering a wide range of questions under a time constraint.

CORE MODULES (AY 2026-2027)

Module code:

5ECON010C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Muhammad Bilal

The microeconomics module builds on the conceptual foundations of microeconomics at level 4, Exploring Economics. The module covers the conceptual tools and underlying framework necessary to demonstrate the importance of economic analysis in understanding the organisation, whether it be in the public or private sector, and to illustrate that economists often offer different interpretations about the behaviour of firms and that this has implications for public policy. This part of the module explores further fundamental decisions made by economic agents such as consumers, producers, and suppliers regarding production factors.

Assessment: Students will be assigned group coursework. The coursework will be designed to involve critical thinking regarding economic modelling, the consideration of important microeconomic variables, the use of real-world data, and a group presentation. The second assessment, examination primarily tests the ability of students to formulate a given set of information in the context of microeconomic models and to distinguish between different theoretical approaches.

ECONOMICS OPTIONAL MODULES

Module code:

5ECON016C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Ahliddin Malikov

This module provides the basic knowledge on the subject of political economy, its historical substance, method of inquiry, scope, and finally its similarities and differences with conventional economics. The focus of the study will be upon the critical examination, analysis, dialectical interpretation, and explanation of the contemporary capitalist economy, polity, and society. The module also explores the interaction between politics and markets, both in theory and in practice.

Assessment: The module will be assessed by a group coursework with a presentation and an examination. The coursework consists of an assignment that tests students’ grasp of key concepts and issues in political economy. The examination will provide an opportunity for students to demonstrate their ability to utilise economic reasoning and data in answering a wide range of questions under a time constraint.

DATA SCIENCE OPTIONAL MODULES

Module code:

5COSC018C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Dr. Elmira Hajimani

This module introduces the Object-Oriented Programming paradigm. The students will learn the difference between Procedural Programming and Object-Oriented Programming. They will also be introduced to the Object-Oriented Programming principles, design patterns and UML class diagrams to be able to visualise system components and build them based on the design.

Assessment: Assessment for this module is divided into two parts. The first component is an in-class Programming Test, which carries a weighting of 50%. The second component is a Coursework Practical, also weighted at 50%. This coursework task requires students to develop and present an individual solution to a practical problem, allowing them to showcase problem-solving skills, creativity, and the application of theoretical knowledge to practice.

*Please note that overall, you should select 2 options, which should contain one Economics option module and one Data Science option module.

Award of Diploma of Higher Education

CORE MODULES (AY 2026-2027)

Module code:

6ECON034C

UK credit value:

20 credits

Semester:

First Semester

Module leader:

Zukhriddin Juliev

This is an advanced undergraduate module on the digital economy. The goal is to introduce the fundamentals of the digital economy and provide frequently observed models. The course uses a combination of theoretical modelling and empirical evidence to achieve those goals. We analyse some key features that are prevalent in digital markets, including price discrimination, network effects, multi-sided platforms and the use of data. We also zoom in on individual markets, such as e-commerce, media platforms, and Big Data Economics.

Assessment: The module will be assessed by group coursework and an examination. Assessment 1 is a group coursework that will enable students to understand a specific model within a specific business case study in terms of efficiency gains and risks posed within current digitised markets. Assessment 2 is an examination that will provide a more general assessment of students’ ability to analyse and discuss key concepts and issues of digital economics discussed in the lecture series.

ECONOMICS OPTIONAL MODULES

Module code:

6ECON015C

UK credit value:

20 credits

Semester:

First semester

Module leader:

...

The module delves into advanced econometric techniques, equipping students with the skills to analyse complex economic and financial data and apply their findings in decision-making processes. The course covers a wide range of topics, including model selection, limited dependent variables, dynamic models, simultaneous equations, and time-series econometrics. This module aims to provide students with the tools and skills necessary to conduct independent research and make informed decisions in various economic and financial contexts.

Assessment: The first assessment is an in-module lab test that provides an assessment of students’ grasp of the econometrics concepts and ability to deal with economic data. The examination primarily tests the ability of students to formulate a given set of information in the context of microeconomic and macroeconomic models, and to distinguish between different theoretical approaches. In the examination, students will be expected to write under time constraints and to show an understanding of econometrics topics discussed in the second half of the module.

DATA SCIENCE OPTIONAL MODULES

Module code:

6ECON037C

UK credit value:

20 credits

Semester:

First semester

Module leader:

Dr. Gulomjon Kosimjonov

The application of data science in finance is crucial in the present modern world, where an unprecedented volume of data is easily available. The industry has diverse and complex information, ranging from market trends to individual transaction histories. Data science provides a systematic framework for extracting meaningful insights, mitigating risks, and optimising decision-making processes. Analytics tools and machine learning algorithms help users to identify the patterns, correlations, and anomalies within the datasets, empowering them to make well-informed predictions and strategic choices. The efficient application of data science in the finance industry may foster precision, efficiency, and adaptability, thereby enhancing the overall financial performance and resilience.

Assessment: There are two components of assessment: an in-class lab test and a group coursework with a presentation.

*Please note that overall, you should select 2 options, which should contain one Economics option module and one Data Science option module.

Award BSc / BSc (Hons) available

Please note: Not all option modules will necessarily be offered in any one year. In addition, timetabling and limited spaces may mean you cannot do your first choice of modules.

WHY CHOOSE ECONOMICS AT WIUT?

Quality of Teaching – Course modules are taught by outstanding experienced professionals who mainly hold PhD degrees from international universities.

Professional Development – While studying, students go through rigorous theoretical and practical training, which makes them highly competitive in the job market.

Employment Opportunities – There is high demand for WIUT’s BSc (Hons) in Economics and its Pathways graduates since their professional performance is highly valued in the workplace by employers and other stakeholders.

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EXTERNAL ENGAGEMENT

The course integrates external engagement opportunities that prepare students to connect theory with practice, gain industry exposure, and develop the skills needed to thrive in today’s competitive job market. Our students benefit from:

Guest lectures from professionals in economics, finance, data science, and public policy, offering real-world insights into global and local economic challenges.

Field trips to banks, research centres, and organisations, allowing students to observe how economic and financial theories are applied in practice.

Industry-focused assessments, including case studies, policy analysis, and consultancy-style projects using actual datasets.

Research and employer feedback events, such as project showcases, dissertation presentations, and seminars with external experts.

ASSESSMENT METHODS

The course offers a variety of assessments to students that are appropriate to learning outcomes and the level of study. The course strives to develop effective approaches to assessment, both formative and summative, taking into consideration the variety of modules within the course, such as level, length, and type of module. The formal summative assessment of knowledge and understanding is mainly by written examinations and assignments, and to some extent, oral presentations. All modules provide for a variety of assessments, including presentations (group and individual), essays, reports, problem-based assignments, in-class tests, timed exams and debates.

Assessment is an important part of your learning process. Combined with a student-centred approach to teaching and learning, it aims to promote initiative and creativity, critical thinking, structure of coherent arguments, evaluation, research and analysis, professional communication skills, effective group work, personal reflection, time-management, the ability to meet deadlines, and the ability to work under pressure.

ENTRY REQUIREMENTS

We are committed to delivering a professional, fair, and transparent admissions process that ensures equal opportunity for all applicants. Our aim is to connect students with courses that align with their goals and their ability to meet academic and professional standards. Find out more Admissions policy and Terms and conditions.

  • Applicants should satisfy at a minimum one of the following requirements:

    • Successful completion of an appropriate International Foundation course; or
    • Successful completion of the first year of an appropriate degree course in a recognised Uzbek or similar university; or
    • Two GCE A level passes (only subjects directly relevant to the field of study applied for. The University reserves the right to assess the suitability of subjects presented and to determine their alignment with programme entry requirements), plus three GCSE passes at grade C or above including English Language and Mathematics; or NC/ND or HNC/HND. The range of academic disciplines studied is not hereby restricted, but certain vocational courses such as City and Guilds would not satisfy the admissions requirements; or
    • An Advanced General National Vocational Qualification (GNVQ); or
    • Any other equivalent qualification normally accepted as entry requirement (e.g. International Baccalaureate, etc.).
  • Applicants must have:

    • Had their secondary education through the medium of English and gained grade C or above in the equivalent of GCSE English; or
    • IELTS score of 6.5 with a minimum of 6.0 in the writing component; or
    • Successfully completed an appropriate International Foundation course with a "pass" in an Academic English module.

    We accept the TOEFL (IBT (In person test) for entry to our programmes. We also accept TOEFL ‘My Best Scores’ where it relates to TOEFL iBT test results.

    Please note that the TOEFL Home Edition (Online test) is not accepted for entry to WIUT degree programmes.

    • TOEFL should be 85 overall with a minimum of 22 in Writing
  • Age requirements

    Applicants will have to be 18 years of age at the start of the academic year. For the purposes of this regulation, the academic year runs from 1st October to 30th September of the following year.

    Applications are normally processed based on the documentation submitted on the WIUT admissions system. The University reserves the right to introduce other admission processes such as an interview.

  • Applicants must have an acceptable level of competence in Mathematics. This could be demonstrated by one of the following:

    • A "pass" in a maths test approved by the University of Westminster (UK); or
    • Grade C or above in GCSE/’O’ Level Mathematics (or its equivalent); or
    • SAT mathematics component 570; or
    • Successful completion of an appropriate International Foundation course with "pass" in Quantitative Methods module.

GLOBAL OPPORTUNITIES: EXCHANGE PROGRAMME IN GERMANY

The BSc (Hons) in Economics and its Pathways degree at WIUT offers students the opportunity to study abroad through the Student Exchange Programme. Economics students may spend a semester at Freie Universität Berlin, one of Europe’s leading universities renowned for its excellence in economics, social sciences, and international research.

This international experience enables students to expand their academic knowledge, gain cross-cultural perspectives, and build valuable global networks. Credits earned abroad are fully recognised at WIUT, ensuring a smooth continuation of studies while working toward a prestigious UK degree. Find out more at Student Exchange Programme.

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OUR GRADUATES WORK AT

CAREERS

The course provides students with opportunities to develop soft and hard skills, which are highly demanded in the labour market. Some students obtain part-time employment during their studies or summer holidays. Working within the industry in a real-life situation is not only invaluable in terms of developing professional skills but also helps to raise confidence. Interacting with the workplace while studying helps students prepare for a future career and reflect on their knowledge they obtained during the course.

The modules of the programme provide students with the opportunity to develop specific skills. In particular, core modules promote the practical skills in quantitative analysis to collect and analyse data, design surveys, detect trends, develop forecasts and relationships and communicate the results to use in conducting economic policy, tackling financial and economic problems, evaluating investment projects, and making recommendations for ways to improve efficiency. The optional modules at higher levels encourage students to critically evaluate and apply economic models to a wide range of economic and financial issues, and compare and contrast alternative economic policies.

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COURSE LEADER

Bilol Buzurukov

Bilol received his PhD in Economics from Yeungnam University, Republic of Korea. Before joining the Westminster International University in Tashkent, he was a Researcher at the Department of Economics and Business, Yeungnam University.

His research areas are Economics of Migration and Economics of Corruption. He is the author of several international journal articles and teaches Contemporary Issues in Global Economy, Behavioral Economics and Macroeconomics modules.

TAUGHT BY TEAM OF EXPERTS

WHAT OUR GRADUATES SAY

TAKE THE NEXT STEP

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